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23 Commits

Author SHA1 Message Date
Jim Liu 宝玉 9ff468a6a7 chore: release v1.31.2 2026-02-10 16:05:48 -06:00
Jim Liu 宝玉 c83d114a73 fix(baoyu-post-to-x): fix Windows clipboard and path handling
- Embed file path directly in PowerShell script with single-quote escaping
  instead of using param()/−Path which fails with -Command parameter.
- Use fileURLToPath() for getScriptDir() to handle Windows drive-letter paths.
2026-02-10 16:05:09 -06:00
Jim Liu 宝玉 e964100dd9 fix(baoyu-post-to-wechat): fix PowerShell clipboard copy on Windows
Embed file path directly in PowerShell script with single-quote escaping
instead of using param()/−Path which fails with -Command parameter.
2026-02-10 16:05:03 -06:00
Jim Liu 宝玉 6c0ae7a86a chore: release v1.31.1 2026-02-10 15:50:31 -06:00
Jim Liu 宝玉 52ade637af fix(baoyu-post-to-x): fix Chrome launch on macOS and cover image path resolution
Use open -na on macOS to avoid process blocking; resolve relative cover image
paths to absolute paths.
2026-02-10 15:46:14 -06:00
Jim Liu 宝玉 569beebdd6 feat(baoyu-post-to-wechat): adapt to new WeChat UI and fix digest/cover handling
Rename 图文 to 贴图 throughout; add ProseMirror editor support with old editor
fallback; add fallback file input selector; add upload progress monitoring;
improve save button detection with toast verification; truncate digest > 120
chars at punctuation boundary; fix cover image relative path resolution.
2026-02-10 15:46:09 -06:00
Jim Liu 宝玉 6cbf0f4e52 chore: release v1.31.0 2026-02-07 15:51:09 -06:00
Jim Liu 宝玉 5615e6150f feat(baoyu-post-to-wechat): add comment control, cover fallback chain, and first-time setup 2026-02-07 15:50:23 -06:00
Jim Liu 宝玉 7465f37dcf chore: release v1.30.3 2026-02-06 16:22:02 -06:00
Jim Liu 宝玉 38a1b90db3 refactor(baoyu-article-illustrator): optimize SKILL.md from 197 to 150 lines 2026-02-06 16:21:58 -06:00
Jim Liu 宝玉 b53a5db60a chore: release v1.30.2 2026-02-06 16:13:51 -06:00
Jim Liu 宝玉 372e03cef3 refactor(baoyu-cover-image): optimize SKILL.md from 532 to 233 lines 2026-02-06 16:13:47 -06:00
Jim Liu 宝玉 ea8ad82786 chore: release v1.30.1 2026-02-06 16:07:34 -06:00
Jim Liu 宝玉 6fffe252c0 fix(baoyu-cover-image): enhance reference image analysis and prompt generation
- Add deep analysis template for extracting specific visual elements
- Require MUST INCORPORATE section with concrete, reproducible details
- Add integration approach for spatial layout instructions
- Clarify ref-capable backend requirements (Google/OpenAI)
2026-02-06 16:07:09 -06:00
Jim Liu 宝玉 86a84739e8 feat(baoyu-image-gen): add OpenAI GPT Image edits support for reference images
- Support --ref with OpenAI GPT Image models (gpt-image-1.5)
- Auto-select Google or OpenAI when --ref provided
- Change ref-related warnings to explicit errors with fix hints
- Add reference image validation before generation
- Improve retry logic to skip non-retryable errors
2026-02-06 16:06:58 -06:00
Jim Liu 宝玉 7f80100b3e chore: release v1.30.0 2026-02-06 14:56:00 -06:00
Jim Liu 宝玉 61960961ba feat(baoyu-cover-image): add font dimension with 4 styles
Add 6th dimension for typography control:
- clean: modern geometric sans-serif
- handwritten: warm hand-lettered style
- serif: classic elegant typography
- display: bold decorative headlines

Includes auto-selection rules, compatibility matrix, and warm-flat preset.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-06 14:55:11 -06:00
Jim Liu 宝玉 cdd9ee042d chore: release v1.29.0 2026-02-06 13:36:08 -06:00
Jim Liu 宝玉 c742bfa1af fix(baoyu-url-to-markdown): improve html extraction and markdown conversion 2026-02-06 13:35:28 -06:00
Jim Liu 宝玉 0faea4ecaa Merge pull request #38 from kingdomad/feature/baoyu-image-gen-extend-config
add EXTEND.md configuration support
2026-02-05 23:10:11 -06:00
Jim Liu 宝玉 7c9ec259a1 Merge pull request #36 from NantesCheval/fix/wechat-title-and-list-duplication
fix(baoyu-post-to-wechat): fix title and list number duplication in WeChat articles
2026-02-05 23:09:17 -06:00
史提芬达 24a17709a8 add EXTEND.md configuration support 2026-02-05 19:46:22 +08:00
AlexCheval a3849af0cf fix(baoyu-post-to-wechat): fix title and list number duplication in WeChat articles
- Remove title from body content when extracting it for WeChat title field
  to prevent duplicate title display (one in header, one in content)
- Remove manual ordered list prefix since HTML <ol> already provides numbering,
  preventing "1.1.", "2.2.", "3.3." duplication

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-05 10:04:34 +08:00
33 changed files with 2163 additions and 811 deletions
+1 -1
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@@ -6,7 +6,7 @@
},
"metadata": {
"description": "Skills shared by Baoyu for improving daily work efficiency",
"version": "1.28.4"
"version": "1.31.2"
},
"plugins": [
{
+53
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@@ -2,6 +2,59 @@
English | [中文](./CHANGELOG.zh.md)
## 1.31.2 - 2026-02-10
### Fixes
- `baoyu-post-to-wechat`: fix PowerShell clipboard copy failing on Windows due to `param()`/`-Path` not working with `-Command`.
- `baoyu-post-to-x`: fix PowerShell clipboard copy on Windows (same issue); fix `getScriptDir()` returning invalid path on Windows (`/C:/...` prefix).
## 1.31.1 - 2026-02-10
### Features
- `baoyu-post-to-wechat`: adapt to new WeChat UI — rename 图文 to 贴图; add ProseMirror editor support with old editor fallback; add fallback file input selector; add upload progress monitoring; improve save button detection with toast verification.
### Fixes
- `baoyu-post-to-wechat`: truncate digest > 120 chars at punctuation boundary; fix cover image relative path resolution.
- `baoyu-post-to-x`: fix Chrome launch on macOS via `open -na`; fix cover image relative path resolution.
## 1.31.0 - 2026-02-07
### Features
- `baoyu-post-to-wechat`: add comment control settings (`need_open_comment`, `only_fans_can_comment`); add cover image fallback chain (CLI → frontmatter → `imgs/cover.png` → first inline image); add author resolution priority; add first-time setup flow with EXTEND.md preferences.
## 1.30.3 - 2026-02-06
### Refactor
- `baoyu-article-illustrator`: optimize SKILL.md from 197 to 150 lines (24% reduction); apply progressive disclosure pattern with concise overview and detailed references.
## 1.30.2 - 2026-02-06
### Refactor
- `baoyu-cover-image`: optimize SKILL.md from 532 to 233 lines (56% reduction); extract reference image handling to `references/workflow/reference-images.md`; condense galleries to value-only tables with links.
## 1.30.1 - 2026-02-06
### Features
- `baoyu-image-gen`: add OpenAI GPT Image edits support for reference images (`--ref`); auto-select Google or OpenAI when ref provided.
### Fixes
- `baoyu-image-gen`: change ref-related warnings to explicit errors with fix hints; add reference image validation.
- `baoyu-cover-image`: enhance reference image analysis with deep extraction template; require MUST INCORPORATE section for concrete visual elements.
## 1.30.0 - 2026-02-06
### Features
- `baoyu-cover-image`: add font dimension with 4 typography styles (clean, handwritten, serif, display); includes auto-selection rules, compatibility matrix, and `warm-flat` style preset.
## 1.29.0 - 2026-02-06
### Features
- `baoyu-image-gen`: add EXTEND.md configuration support, including schema documentation and runtime preference loading in scripts (by @kingdomad).
### Fixes
- `baoyu-post-to-wechat`: fix duplicated title and ordered-list numbering in WeChat article publishing (by @NantesCheval).
- `baoyu-url-to-markdown`: replace regex-only conversion with multi-strategy content extraction and Turndown conversion; improve noise filtering for Substack-style pages.
## 1.28.4 - 2026-02-03
### Features
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@@ -2,6 +2,59 @@
[English](./CHANGELOG.md) | 中文
## 1.31.2 - 2026-02-10
### 修复
- `baoyu-post-to-wechat`:修复 Windows 上 PowerShell 剪贴板复制失败的问题(`param()`/`-Path``-Command` 参数不兼容)。
- `baoyu-post-to-x`:修复 Windows 上 PowerShell 剪贴板复制(同上);修复 `getScriptDir()` 在 Windows 上返回无效路径(`/C:/...` 前缀)。
## 1.31.1 - 2026-02-10
### 新功能
- `baoyu-post-to-wechat`:适配微信新版 UI — 图文更名为贴图;新增 ProseMirror 编辑器支持(兼容旧版编辑器);新增备用文件上传选择器;新增上传进度监控;改进保存按钮检测并增加 toast 验证。
### 修复
- `baoyu-post-to-wechat`:摘要超过 120 字符时在标点处截断;修复封面图片相对路径解析。
- `baoyu-post-to-x`:修复 macOS 上 Chrome 启动问题(使用 `open -na`);修复封面图片相对路径解析。
## 1.31.0 - 2026-02-07
### 新功能
- `baoyu-post-to-wechat`:新增评论控制设置(`need_open_comment``only_fans_can_comment`);新增封面图片回退链(CLI → frontmatter → `imgs/cover.png` → 首张内联图片);新增作者优先级解析;新增首次使用引导流程和 EXTEND.md 偏好配置。
## 1.30.3 - 2026-02-06
### 重构
- `baoyu-article-illustrator`:优化 SKILL.md 从 197 行精简至 150 行(减少 24%);采用渐进式披露模式,主文件提供简洁概览,详细内容通过引用文件提供。
## 1.30.2 - 2026-02-06
### 重构
- `baoyu-cover-image`:优化 SKILL.md 从 532 行精简至 233 行(减少 56%);将参考图片处理流程提取到 `references/workflow/reference-images.md`;画廊改为纯值表格并链接到详细参考文件。
## 1.30.1 - 2026-02-06
### 新功能
- `baoyu-image-gen`:新增 OpenAI GPT Image edits 支持参考图片(`--ref`);提供 ref 时自动选择 Google 或 OpenAI。
### 修复
- `baoyu-image-gen`:将 ref 相关警告改为明确错误提示;新增参考图片验证。
- `baoyu-cover-image`:增强参考图片分析,使用深度提取模板;要求 MUST INCORPORATE 章节以包含具体可复现的视觉元素。
## 1.30.0 - 2026-02-06
### 新功能
- `baoyu-cover-image`:新增字体维度,支持 4 种字体风格(clean、handwritten、serif、display);包含自动选择规则、兼容性矩阵和 `warm-flat` 风格预设。
## 1.29.0 - 2026-02-06
### 新功能
- `baoyu-image-gen`:新增 EXTEND.md 配置支持,补充配置 schema 文档并在脚本运行时读取偏好设置 (by @kingdomad)。
### 修复
- `baoyu-post-to-wechat`:修复公众号文章发布时标题和有序列表编号重复问题 (by @NantesCheval)。
- `baoyu-url-to-markdown`:将正则转换升级为多策略正文抽取 + Turndown 转换,提升 Substack 类页面的噪声过滤能力。
## 1.28.4 - 2026-02-03
### 新功能
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@@ -519,12 +519,12 @@ Post content and articles to X (Twitter). Supports regular posts with images and
Post content to WeChat Official Account (微信公众号). Two modes available:
**Image-Text (图)** - Multiple images with short title/content:
**Image-Text (图)** - Multiple images with short title/content:
```bash
/baoyu-post-to-wechat 图 --markdown article.md --images ./photos/
/baoyu-post-to-wechat 图 --markdown article.md --image img1.png --image img2.png --image img3.png
/baoyu-post-to-wechat 图 --title "标题" --content "内容" --image img1.png --submit
/baoyu-post-to-wechat 图 --markdown article.md --images ./photos/
/baoyu-post-to-wechat 图 --markdown article.md --image img1.png --image img2.png --image img3.png
/baoyu-post-to-wechat 图 --title "标题" --content "内容" --image img1.png --submit
```
**Article (文章)** - Full markdown/HTML with rich formatting:
+4 -4
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@@ -519,12 +519,12 @@ npx skills add jimliu/baoyu-skills
发布内容到微信公众号,支持两种模式:
**图模式** - 多图配短标题和正文:
**图模式** - 多图配短标题和正文:
```bash
/baoyu-post-to-wechat 图 --markdown article.md --images ./photos/
/baoyu-post-to-wechat 图 --markdown article.md --image img1.png --image img2.png --image img3.png
/baoyu-post-to-wechat 图 --title "标题" --content "内容" --image img1.png --submit
/baoyu-post-to-wechat 图 --markdown article.md --images ./photos/
/baoyu-post-to-wechat 图 --markdown article.md --image img1.png --image img2.png --image img3.png
/baoyu-post-to-wechat 图 --title "标题" --content "内容" --image img1.png --submit
```
**文章模式** - 完整 markdown/HTML 富文本格式:
+51 -98
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@@ -11,55 +11,34 @@ Analyze articles, identify illustration positions, generate images with Type ×
| Dimension | Controls | Examples |
|-----------|----------|----------|
| **Type** | Information structure, layout | infographic, scene, flowchart, comparison, framework, timeline |
| **Style** | Visual aesthetics, mood | notion, warm, minimal, blueprint, watercolor, elegant |
| **Type** | Information structure | infographic, scene, flowchart, comparison, framework, timeline |
| **Style** | Visual aesthetics | notion, warm, minimal, blueprint, watercolor, elegant |
Type × Style can be freely combined. Example: `--type infographic --style blueprint`
Combine freely: `--type infographic --style blueprint`
## Illustration Purpose
Auto-detected during content analysis. Influences type/style recommendations.
| Purpose | Description | Best Types |
|---------|-------------|------------|
| **information** | Help understand abstract concepts | infographic, flowchart, comparison |
| **visualization** | Turn abstract ideas into concrete visuals | framework, comparison, infographic |
| **imagination** | Create atmosphere, spark imagination | scene, timeline |
## Type Gallery
## Types
| Type | Best For |
|------|----------|
| `infographic` | Data, metrics, technical articles |
| `scene` | Narratives, personal stories, emotional content |
| `flowchart` | Tutorials, workflows, processes |
| `comparison` | Side-by-side, before/after, options |
| `framework` | Methodologies, models, architecture |
| `timeline` | History, progress, evolution |
| `infographic` | Data, metrics, technical |
| `scene` | Narratives, emotional |
| `flowchart` | Processes, workflows |
| `comparison` | Side-by-side, options |
| `framework` | Models, architecture |
| `timeline` | History, evolution |
## Styles
See [references/styles.md](references/styles.md) for:
- **Core Styles**: Simplified tier for quick selection (vector, minimal-flat, sci-fi, hand-drawn, editorial, scene)
- **Style Gallery**: Full 20+ style options with descriptions
- **Auto Selection**: Content signals → Type/Style recommendations
- **Compatibility Matrix**: Type × Style combinations
See [references/styles.md](references/styles.md) for Core Styles, full gallery, and Type × Style compatibility.
## Workflow
```
Progress:
- [ ] Step 1: Pre-check
- [ ] 1.5 Load preferences (EXTEND.md) ⛔ BLOCKING
- [ ] 1.0 Reference images ⚠️ (if provided)
- [ ] 1.2-1.4 Config questions (1 AskUserQuestion, max 4 Qs)
- [ ] Step 2: Setup & Analyze
- [ ] Step 3: Confirm Settings (1 AskUserQuestion, max 4 Qs)
- [ ] Q1: Type ⚠️
- [ ] Q2: Density ⚠️ MUST ASK
- [ ] Q3: Style ⚠️
- [ ] Step 4: Generate Outline
- [ ] Step 5: Generate Images
- [ ] Step 1: Pre-check (EXTEND.md, references, config)
- [ ] Step 2: Analyze content
- [ ] Step 3: Confirm settings (AskUserQuestion)
- [ ] Step 4: Generate outline
- [ ] Step 5: Generate images
- [ ] Step 6: Finalize
```
@@ -67,8 +46,6 @@ Progress:
**1.5 Load Preferences (EXTEND.md) ⛔ BLOCKING**
**CRITICAL**: If EXTEND.md not found, MUST complete first-time setup before ANY other steps.
```bash
test -f .baoyu-skills/baoyu-article-illustrator/EXTEND.md && echo "project"
test -f "$HOME/.baoyu-skills/baoyu-article-illustrator/EXTEND.md" && echo "user"
@@ -76,122 +53,98 @@ test -f "$HOME/.baoyu-skills/baoyu-article-illustrator/EXTEND.md" && echo "user"
| Result | Action |
|--------|--------|
| Found | Read, parse, display summary → Continue |
| Not found | ⛔ Run first-time setup ([references/config/first-time-setup.md](references/config/first-time-setup.md)) |
**Supports**: Watermark | Preferred type/style | Custom styles | Language | Output directory
**1.0-1.4**: Handle reference images, determine input type, ask config questions.
| Found | Read, parse, display summary |
| Not found | ⛔ Run [first-time-setup](references/config/first-time-setup.md) |
Full procedures: [references/workflow.md](references/workflow.md#step-1-pre-check)
---
### Step 2: Analyze
### Step 2: Setup & Analyze
| Analysis | Description |
|----------|-------------|
| Analysis | Output |
|----------|--------|
| Content type | Technical / Tutorial / Methodology / Narrative |
| Illustration purpose | information / visualization / imagination |
| Core arguments | 2-5 main points to visualize |
| Visual opportunities | Positions where illustrations add value |
| Purpose | information / visualization / imagination |
| Core arguments | 2-5 main points |
| Positions | Where illustrations add value |
**CRITICAL**: If article uses metaphors, do NOT illustrate literally. Visualize the **underlying concept**.
**CRITICAL**: Metaphors → visualize underlying concept, NOT literal image.
Full procedures: [references/workflow.md](references/workflow.md#step-2-setup--analyze)
---
### Step 3: Confirm Settings ⚠️
**Do NOT skip.** Use ONE AskUserQuestion call with max 4 questions. **Q1, Q2, Q3 are ALL REQUIRED.**
**ONE AskUserQuestion, max 4 Qs. Q1-Q3 REQUIRED.**
| Question | Options |
|----------|---------|
| **Q1: Type** ⚠️ | [Recommended], infographic, scene, flowchart, comparison, framework, timeline, mixed |
| **Q2: Density** ⚠️ | minimal (1-2), balanced (3-5), per-section (Recommended), rich (6+) |
| **Q3: Style** ⚠️ | [Recommended], minimal-flat, sci-fi, hand-drawn, editorial, scene, Other |
| **Q4: Language** | When article language ≠ EXTEND.md setting |
| Q | Options |
|---|---------|
| **Q1: Type** | [Recommended], infographic, scene, flowchart, comparison, framework, timeline, mixed |
| **Q2: Density** | minimal (1-2), balanced (3-5), per-section (Recommended), rich (6+) |
| **Q3: Style** | [Recommended], minimal-flat, sci-fi, hand-drawn, editorial, scene, Other |
| Q4: Language | When article language ≠ EXTEND.md setting |
Full procedures: [references/workflow.md](references/workflow.md#step-3-confirm-settings-)
---
### Step 4: Generate Outline
Save as `outline.md` with frontmatter (type, density, style, image_count, references) and illustration entries:
Save `outline.md` with frontmatter (type, density, style, image_count) and entries:
```yaml
## Illustration 1
**Position**: [section] / [paragraph]
**Purpose**: [why this helps]
**Visual Content**: [what to show]
**Position**: [section/paragraph]
**Purpose**: [why]
**Visual Content**: [what]
**Filename**: 01-infographic-concept-name.png
```
Full template: [references/workflow.md](references/workflow.md#step-4-generate-outline)
---
### Step 5: Generate Images
1. **Create Prompts**: Follow [references/prompt-construction.md](references/prompt-construction.md)
2. **Select Generation Skill**: Check available skills
3. **Process References**: Handle `direct`/`style`/`palette` usage
4. **Apply Watermark**: If enabled in EXTEND.md
5. **Generate**: Sequential, retry once on failure
1. Create prompts per [references/prompt-construction.md](references/prompt-construction.md)
2. Select generation skill from available skills
3. Process references (`direct`/`style`/`palette`)
4. Apply watermark if EXTEND.md enabled
5. Generate sequentially, retry once on failure
Full procedures: [references/workflow.md](references/workflow.md#step-5-generate-images)
---
### Step 6: Finalize
**Update Article**: Insert `![description](path/NN-{type}-{slug}.png)` after corresponding paragraphs.
Insert `![description](path/NN-{type}-{slug}.png)` after paragraphs.
**Output Summary**:
```
Article Illustration Complete!
Article: [path] | Type: [type] | Density: [level] | Style: [style]
Images: X/N generated
Positions:
- 01-xxx.png → After "[Section]"
```
---
## Output Directory
```
illustrations/{topic-slug}/
├── source-{slug}.{ext}
├── references/ # Only if references provided
│ └── NN-ref-{slug}.png
├── references/ # if provided
├── outline.md
├── prompts/
│ └── illustration-{slug}.md
└── NN-{type}-{slug}.png
```
**Slug**: 2-4 word topic in kebab-case.
**Conflict**: Append `-YYYYMMDD-HHMMSS` if exists.
**Slug**: 2-4 words, kebab-case. **Conflict**: append `-YYYYMMDD-HHMMSS`.
## Modification
| Action | Steps |
|--------|-------|
| **Edit** | Update prompt file FIRST → Regenerate → Update reference |
| **Add** | Identify position → Create prompt → Generate → Update outline → Insert |
| **Delete** | Delete files → Remove reference → Update outline |
| Edit | Update prompt → Regenerate → Update reference |
| Add | Position → Prompt → Generate → Update outline → Insert |
| Delete | Delete files → Remove reference → Update outline |
## References
| File | Content |
|------|---------|
| [references/workflow.md](references/workflow.md) | Detailed workflow procedures |
| [references/usage.md](references/usage.md) | Command syntax and options |
| [references/styles.md](references/styles.md) | Style gallery & compatibility |
| [references/workflow.md](references/workflow.md) | Detailed procedures |
| [references/usage.md](references/usage.md) | Command syntax |
| [references/styles.md](references/styles.md) | Style gallery |
| [references/prompt-construction.md](references/prompt-construction.md) | Prompt templates |
| `references/styles/<style>.md` | Full style specifications |
| `references/config/preferences-schema.md` | EXTEND.md schema |
| `references/config/first-time-setup.md` | First-time setup flow |
| [references/config/first-time-setup.md](references/config/first-time-setup.md) | First-time setup |
+95 -359
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@@ -10,156 +10,94 @@ Generate elegant cover images for articles with 5-dimensional customization.
## Usage
```bash
# Auto-select all dimensions based on content
# Auto-select dimensions based on content
/baoyu-cover-image path/to/article.md
# Quick mode: skip confirmation, use auto-selection
# Quick mode: skip confirmation
/baoyu-cover-image article.md --quick
# Specify dimensions (new 5D system)
# Specify dimensions
/baoyu-cover-image article.md --type conceptual --palette warm --rendering flat-vector
/baoyu-cover-image article.md --text title-subtitle --mood bold
# Style presets (backward-compatible shorthand for palette + rendering)
# Style presets (shorthand for palette + rendering)
/baoyu-cover-image article.md --style blueprint
/baoyu-cover-image article.md --style blueprint --rendering hand-drawn # override rendering
# Visual only (no title text)
/baoyu-cover-image article.md --no-title
# Direct content input
/baoyu-cover-image
[paste content]
# Direct input with options
/baoyu-cover-image --palette mono --rendering digital --aspect 1:1 --quick
[paste content]
# With reference images
/baoyu-cover-image article.md --ref style-ref.png
/baoyu-cover-image article.md --ref ref1.png ref2.png --quick
# Direct content input
/baoyu-cover-image --palette mono --aspect 1:1 --quick
[paste content]
```
## Options
| Option | Description |
|--------|-------------|
| `--type <name>` | Cover type: hero, conceptual, typography, metaphor, scene, minimal |
| `--palette <name>` | Color palette: warm, elegant, cool, dark, earth, vivid, pastel, mono, retro |
| `--rendering <name>` | Rendering style: flat-vector, hand-drawn, painterly, digital, pixel, chalk |
| `--style <name>` | Preset shorthand (expands to palette + rendering, see [Style Presets](references/style-presets.md)) |
| `--text <level>` | Text density: none, title-only, title-subtitle, text-rich |
| `--mood <level>` | Emotional intensity: subtle, balanced, bold |
| `--type <name>` | hero, conceptual, typography, metaphor, scene, minimal |
| `--palette <name>` | warm, elegant, cool, dark, earth, vivid, pastel, mono, retro |
| `--rendering <name>` | flat-vector, hand-drawn, painterly, digital, pixel, chalk |
| `--style <name>` | Preset shorthand (see [Style Presets](references/style-presets.md)) |
| `--text <level>` | none, title-only, title-subtitle, text-rich |
| `--mood <level>` | subtle, balanced, bold |
| `--font <name>` | clean, handwritten, serif, display |
| `--aspect <ratio>` | 16:9 (default), 2.35:1, 4:3, 3:2, 1:1, 3:4 |
| `--lang <code>` | Title language (en, zh, ja, etc.) |
| `--no-title` | Alias for `--text none` |
| `--quick` | Skip confirmation, use auto-selection for missing dimensions |
| `--quick` | Skip confirmation, use auto-selection |
| `--ref <files...>` | Reference images for style/composition guidance |
## Five Dimensions
| Dimension | Controls | Values | Default |
|-----------|----------|--------|---------|
| **Type** | Visual composition, information structure | hero, conceptual, typography, metaphor, scene, minimal | auto |
| **Palette** | Colors, color scheme, decorative hints | warm, elegant, cool, dark, earth, vivid, pastel, mono, retro | auto |
| **Rendering** | Line quality, texture, depth, element style | flat-vector, hand-drawn, painterly, digital, pixel, chalk | auto |
| **Text** | Text density, information hierarchy | none, title-only, title-subtitle, text-rich | title-only |
| **Mood** | Emotional intensity, visual weight | subtle, balanced, bold | balanced |
| Dimension | Values | Default |
|-----------|--------|---------|
| **Type** | hero, conceptual, typography, metaphor, scene, minimal | auto |
| **Palette** | warm, elegant, cool, dark, earth, vivid, pastel, mono, retro | auto |
| **Rendering** | flat-vector, hand-drawn, painterly, digital, pixel, chalk | auto |
| **Text** | none, title-only, title-subtitle, text-rich | title-only |
| **Mood** | subtle, balanced, bold | balanced |
| **Font** | clean, handwritten, serif, display | clean |
Dimensions can be freely combined. Auto-selection rules: [references/auto-selection.md](references/auto-selection.md)
Auto-selection rules: [references/auto-selection.md](references/auto-selection.md)
## Type Gallery
## Galleries
| Type | Description | Best For |
|------|-------------|----------|
| `hero` | Large visual impact, title overlay | Product launch, brand promotion, major announcements |
| `conceptual` | Concept visualization, abstract core ideas | Technical articles, methodology, architecture design |
| `typography` | Text-focused layout, prominent title | Opinion pieces, quotes, insights |
| `metaphor` | Visual metaphor, concrete expressing abstract | Philosophy, growth, personal development |
| `scene` | Atmospheric scene, narrative feel | Stories, travel, lifestyle |
| `minimal` | Minimalist composition, generous whitespace | Zen, focus, core concepts |
**Types**: hero, conceptual, typography, metaphor, scene, minimal
→ Details: [references/types.md](references/types.md)
Type composition details: [references/types.md](references/types.md)
**Palettes**: warm, elegant, cool, dark, earth, vivid, pastel, mono, retro
→ Details: [references/palettes/](references/palettes/)
## Palette Gallery
**Renderings**: flat-vector, hand-drawn, painterly, digital, pixel, chalk
→ Details: [references/renderings/](references/renderings/)
| Palette | Vibe | Primary Colors |
|---------|------|----------------|
| `warm` | Friendly, approachable | Orange, golden yellow, terracotta |
| `elegant` | Sophisticated, refined | Soft coral, muted teal, dusty rose |
| `cool` | Technical, professional | Engineering blue, navy, cyan |
| `dark` | Cinematic, premium | Electric purple, cyan, magenta |
| `earth` | Natural, organic | Forest green, sage, earth brown |
| `vivid` | Energetic, bold | Bright red, neon green, electric blue |
| `pastel` | Gentle, whimsical | Soft pink, mint, lavender |
| `mono` | Clean, focused | Black, near-black, white |
| `retro` | Nostalgic, vintage | Muted orange, dusty pink, maroon |
**Text Levels**: none (pure visual) | title-only (default) | title-subtitle | text-rich (with tags)
→ Details: [references/dimensions/text.md](references/dimensions/text.md)
Palette definitions: [references/palettes/](references/palettes/)
**Mood Levels**: subtle (low contrast) | balanced (default) | bold (high contrast)
→ Details: [references/dimensions/mood.md](references/dimensions/mood.md)
## Rendering Gallery
| Rendering | Description | Key Characteristics |
|-----------|-------------|---------------------|
| `flat-vector` | Clean modern vector | Uniform outlines, flat fills, geometric icons |
| `hand-drawn` | Sketchy organic illustration | Imperfect strokes, paper texture, doodles |
| `painterly` | Soft watercolor/paint | Brush strokes, color bleeds, soft edges |
| `digital` | Polished modern digital | Precise edges, subtle gradients, UI components |
| `pixel` | Retro 8-bit pixel art | Pixel grid, dithering, chunky shapes |
| `chalk` | Chalk on blackboard | Chalk strokes, dust effects, board texture |
Rendering definitions: [references/renderings/](references/renderings/)
## Text & Mood
| Text Level | Title | Subtitle | Tags | Use Case |
|------------|:-----:|:--------:|:----:|----------|
| `none` | - | - | - | Pure visual, no text |
| `title-only` | ✓ | - | - | Simple headline (default) |
| `title-subtitle` | ✓ | ✓ | - | Title + supporting context |
| `text-rich` | ✓ | ✓ | ✓ (2-4) | Information-dense |
| Mood | Contrast | Saturation | Weight | Use Case |
|------|:--------:|:----------:|:------:|----------|
| `subtle` | Low | Muted | Light | Corporate, thought leadership |
| `balanced` | Medium | Normal | Medium | General articles (default) |
| `bold` | High | Vivid | Heavy | Announcements, promotions |
Full guides: [references/dimensions/text.md](references/dimensions/text.md) | [references/dimensions/mood.md](references/dimensions/mood.md)
## Style Presets & Compatibility
- **Style Presets**: `--style X` expands to palette + rendering. See [references/style-presets.md](references/style-presets.md)
- **Compatibility Matrices**: Palette×Rendering, Type×Rendering, Type×Text, Type×Mood. See [references/compatibility.md](references/compatibility.md)
- ✓✓ = highly recommended | ✓ = compatible | ✗ = not recommended
**Fonts**: clean (sans-serif) | handwritten | serif | display (bold decorative)
→ Details: [references/dimensions/font.md](references/dimensions/font.md)
## File Structure
Output directory depends on `default_output_dir` preference:
| Preference | Output Path |
|------------|-------------|
| `same-dir` | `{article-dir}/` |
| `imgs-subdir` | `{article-dir}/imgs/` |
| `independent` (default) | `cover-image/{topic-slug}/` |
| Pasted content | `cover-image/{topic-slug}/` (always) |
Output directory per `default_output_dir` preference:
- `same-dir`: `{article-dir}/`
- `imgs-subdir`: `{article-dir}/imgs/`
- `independent` (default): `cover-image/{topic-slug}/`
```
<output-dir>/
├── source-{slug}.{ext} # Source files (text, images, etc.)
├── source-{slug}.{ext} # Source files
├── refs/ # Reference images (if provided)
│ ├── ref-01-{slug}.{ext}
── ref-01-{slug}.md # Description file (optional)
│ ├── ref-02-{slug}.{ext}
│ ├── ref-02-{slug}.md # Description file (optional)
│ └── extracted-style.md # Verbally extracted style (if no file path)
── ref-01-{slug}.md # Description file
├── prompts/cover.md # Generation prompt
└── cover.png # Output image
```
**Slug**: Extract main topic (2-4 words, kebab-case). Example: "The Future of AI" → `future-of-ai`
**Conflict**: If directory exists, append timestamp: `{topic-slug}-YYYYMMDD-HHMMSS`
**Source Files**: Copy all sources with naming `source-{slug}.{ext}` (multiple supported)
**Slug**: 2-4 words, kebab-case. Conflict: append `-YYYYMMDD-HHMMSS`
## Workflow
@@ -168,20 +106,10 @@ Output directory depends on `default_output_dir` preference:
```
Cover Image Progress:
- [ ] Step 0: Check preferences (EXTEND.md) ⛔ BLOCKING
- [ ] Found → load preferences → continue
- [ ] Not found → run first-time setup → MUST complete before Step 1
- [ ] Step 1: Analyze content + determine output directory
- [ ] 1.1 Reference images ⚠️ (if provided)
- [ ] File path given → saved to refs/ ✓
- [ ] No path → asked user OR extracted verbally
- [ ] 1.2 Output directory determined
- [ ] Step 2: Confirm options (5 dimensions) ⚠️ REQUIRED unless --quick or all specified
- [ ] Step 1: Analyze content + save refs + determine output dir
- [ ] Step 2: Confirm options (6 dimensions) ⚠️ unless --quick
- [ ] Step 3: Create prompt
- [ ] References in prompt ONLY if files exist in refs/
- [ ] Extracted style/palette appended to prompt body (if no file)
- [ ] Step 4: Generate image
- [ ] 4.1 References verified before generation
- [ ] 4.2 Pass refs via --ref if skill supports AND files exist
- [ ] Step 5: Completion report
```
@@ -189,240 +117,66 @@ Cover Image Progress:
```
Input → [Step 0: Preferences] ─┬─ Found → Continue
└─ Not found → First-Time Setup ⛔ BLOCKING
└─ Complete setup → Save EXTEND.md → Continue
┌───────────────────────────────────────────────────────────────────────────┘
└─ Not found → First-Time Setup ⛔ BLOCKING → Save EXTEND.md → Continue
Analyze + Save Refs → [Output Dir ⚠️] → [Confirm: 5 Dimensions] → Prompt → Generate → Complete
(skip if --quick or all specified)
Analyze + Save Refs → [Output Dir] → [Confirm: 6 Dimensions] → Prompt → Generate → Complete
(skip if --quick or all specified)
```
### Step 0: Load Preferences (EXTEND.md) ⛔ BLOCKING
**Purpose**: Load user preferences or run first-time setup.
**CRITICAL**: If EXTEND.md not found, MUST complete first-time setup before ANY other questions or steps. Do NOT proceed to content analysis, do NOT ask about reference images, do NOT ask about dimensions — ONLY complete the preferences setup first.
Use Bash to check EXTEND.md existence (priority order):
### Step 0: Load Preferences ⛔ BLOCKING
Check EXTEND.md existence (priority: project → user):
```bash
# Check project-level first
test -f .baoyu-skills/baoyu-cover-image/EXTEND.md && echo "project"
# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.baoyu-skills/baoyu-cover-image/EXTEND.md" && echo "user"
```
| Result | Action |
|--------|--------|
| Found | Read, parse, display preferences summary → Continue to Step 1 |
| Not found | ⛔ **BLOCKING**: Run first-time setup ONLY ([references/config/first-time-setup.md](references/config/first-time-setup.md)) → Complete and save EXTEND.md → Then continue to Step 1 |
| Found | Load, display summary → Continue |
| Not found | ⛔ Run first-time setup ([references/config/first-time-setup.md](references/config/first-time-setup.md)) → Save → Continue |
**Preferences Summary** (when found):
```
Preferences loaded from [project/user]:
• Watermark: [enabled/disabled] [content if enabled]
• Type/Palette/Rendering: [value or "auto"]
• Text: [value or "title-only"] | Mood: [value or "balanced"]
• Aspect: [default_aspect] | Output: [dir or "not set — will ask in Step 1.5"]
• Quick mode: [enabled/disabled] | Language: [value or "auto"]
```
**EXTEND.md Supports**: Watermark | Preferred type | Preferred palette | Preferred rendering | Preferred text | Preferred mood | Default aspect ratio | Default output directory | Quick mode | Custom palette definitions | Language preference
Schema: [references/config/preferences-schema.md](references/config/preferences-schema.md)
**CRITICAL**: If not found, complete setup BEFORE any other steps or questions.
### Step 1: Analyze Content
**1.0 Detect & Save Reference Images** ⚠️ REQUIRED if images provided
Check if user provided reference images. Handle based on input type:
| Input Type | Action |
|------------|--------|
| Image file path provided | Copy to `refs/` subdirectory → can use `--ref` |
| Image in conversation (no path) | **ASK user for file path** with AskUserQuestion |
| User can't provide path | Extract style/palette verbally → append to prompt (NO frontmatter references) |
**CRITICAL**: Only add `references` to prompt frontmatter if files are ACTUALLY SAVED to `refs/` directory.
**If user provides file path**:
1. Copy to `refs/ref-NN-{slug}.{ext}` (NN = 01, 02, ...)
2. Create description: `refs/ref-NN-{slug}.md`
3. Verify files exist before proceeding
**If user can't provide path** (extracted verbally):
1. Analyze image visually, extract: colors, style, composition
2. Create `refs/extracted-style.md` with extracted info
3. DO NOT add `references` to prompt frontmatter
4. Instead, append extracted style/colors directly to prompt text
**Description File Format** (only when file saved):
```yaml
---
ref_id: NN
filename: ref-NN-{slug}.{ext}
usage: direct | style | palette
---
[User's description or auto-generated description]
```
| Usage | When to Use |
|-------|-------------|
| `direct` | Reference matches desired output closely |
| `style` | Extract visual style characteristics only |
| `palette` | Extract color scheme only |
**Verification** (only for saved files):
```
Reference Images Saved:
- ref-01-{slug}.png ✓ (can use --ref)
- ref-02-{slug}.png ✓ (can use --ref)
```
**Or for extracted style**:
```
Reference Style Extracted (no file):
- Colors: #E8756D coral, #7ECFC0 mint...
- Style: minimal flat vector, clean lines...
→ Will append to prompt text (not --ref)
```
---
**1.1 Save Source Content**
- If pasted, save to `source.md` in target directory; if file path, use as-is
- **Backup rule**: If `source.md` exists, rename to `source-backup-YYYYMMDD-HHMMSS.md`
**1.2 Content Analysis**
- Extract topic, core message, tone, keywords
- Identify visual metaphors
- Detect content type
**1.3 Reference Image Analysis** (if provided in Step 1.0)
For each reference image:
| Analysis | Description |
|----------|-------------|
| Visual characteristics | Style, colors, composition |
| Content/subject | What the reference depicts |
| Style match | Which type/palette/rendering align |
| Usage recommendation | `direct` / `style` / `palette` |
**1.4 Language Detection**
- Detect source language
- Note user's input language
- Compare with EXTEND.md preference
**1.5 Determine Output Directory**
- Per File Structure rules
- If no `default_output_dir` preference + file path input, include in Step 2 Q4
1. **Save reference images** (if provided) → [references/workflow/reference-images.md](references/workflow/reference-images.md)
2. **Save source content** (if pasted, save to `source.md`)
3. **Analyze content**: topic, tone, keywords, visual metaphors
4. **Deep analyze references** ⚠️: Extract specific, concrete elements (see reference-images.md)
5. **Detect language**: Compare source, user input, EXTEND.md preference
6. **Determine output directory**: Per File Structure rules
### Step 2: Confirm Options ⚠️
Validate all 5 dimensions + aspect ratio. Full confirmation flow: [references/workflow/confirm-options.md](references/workflow/confirm-options.md)
**Skip Conditions**:
Full confirmation flow: [references/workflow/confirm-options.md](references/workflow/confirm-options.md)
| Condition | Skipped | Still Asked |
|-----------|---------|-------------|
| `--quick` or `quick_mode: true` | 5 dimensions | Aspect ratio (unless `--aspect`) |
| All 5 + `--aspect` specified | All | None |
| `--quick` or `quick_mode: true` | 6 dimensions | Aspect ratio (unless `--aspect`) |
| All 6 + `--aspect` specified | All | None |
### Step 3: Create Prompt
**Backup rule**: If `prompts/cover.md` exists, rename to `prompts/cover-backup-YYYYMMDD-HHMMSS.md`
Save to `prompts/cover.md`. Template: [references/workflow/prompt-template.md](references/workflow/prompt-template.md)
Save to `prompts/cover.md`. Full template: [references/workflow/prompt-template.md](references/workflow/prompt-template.md)
**CRITICAL - References in Frontmatter**:
- Files saved to `refs/` → Add to frontmatter `references` list
- Style extracted verbally (no file) → Omit `references`, describe in body
- Before writing → Verify: `test -f refs/ref-NN-{slug}.{ext}`
**CRITICAL - References in YAML Frontmatter**:
When reference files are saved to `refs/`, **MUST add `references` field in frontmatter**:
```yaml
---
type: cover
palette: warm
rendering: flat-vector
references:
- ref_id: 01
filename: refs/ref-01-podcast-thumbnail.jpg
usage: style
---
```
| Rule | Action |
|------|--------|
| Files saved to `refs/` | Add to frontmatter `references` list |
| Style extracted verbally (no file) | Omit `references` field, describe in body |
| Before writing | Verify: `test -f refs/ref-NN-{slug}.{ext}` |
**Reference Embedding**:
| Situation | Frontmatter | Body |
|-----------|-------------|------|
| Reference file saved to `refs/` | Add to `references` ✓ | Brief style note |
| Style extracted verbally (no file) | Omit `references` | Full style description |
| File in frontmatter but doesn't exist | ERROR - fix or remove | — |
**Reference elements in body** MUST be detailed, prefixed with "MUST"/"REQUIRED", with integration approach.
### Step 4: Generate Image
**4.1 Backup existing** `cover.png` `cover-backup-YYYYMMDD-HHMMSS.png` (if regenerating)
**4.2 Check available image generation skills**; if multiple, ask user preference
**4.3 Process References** ⚠️ REQUIRED if references in frontmatter
**Read `references` from prompt frontmatter** and process each entry:
1. **Parse frontmatter** to get references list:
```yaml
references:
- ref_id: 01
filename: refs/ref-01-podcast-thumbnail.jpg
usage: style
```
2. **VERIFY each file exists**:
```bash
test -f refs/ref-NN-{slug}.{ext} && echo "exists" || echo "MISSING"
```
- If file MISSING → ERROR, fix prompt or remove from references
- If file exists → proceed with processing
3. Process based on `usage` type:
| Usage | Action | Example |
|-------|--------|---------|
| `direct` | Add reference path to `--ref` parameter | `--ref refs/ref-01-brand.png` |
| `style` | Analyze reference, append style traits to prompt | "Style: clean lines, gradient backgrounds..." |
| `palette` | Extract colors from reference, append to prompt | "Colors: #E8756D coral, #7ECFC0 mint..." |
3. Check image generation skill capability:
| Skill Supports `--ref` | Action |
|------------------------|--------|
| Yes (e.g., baoyu-image-gen with Google) | Pass reference images via `--ref` |
| No | Convert to text description, append to prompt |
**Verification**: Before generating, confirm reference processing:
```
Reference Processing:
- ref-01-brand.png: using as direct reference ✓
- ref-02-style.png: extracted palette ✓
```
**4.4 Generate**
1. Call selected skill with prompt file path, output path (`cover.png`), aspect ratio
2. If references with `direct` usage AND skill supports `--ref`: include `--ref` parameter
3. On failure: auto-retry once before reporting error
1. **Backup existing** `cover.png` if regenerating
2. **Check image generation skills**; if multiple, ask preference
3. **Process references** from prompt frontmatter:
- `direct` usage → pass via `--ref` (use ref-capable backend)
- `style`/`palette` → extract traits, append to prompt
4. **Generate**: Call skill with prompt file, output path, aspect ratio
5. On failure: auto-retry once
### Step 5: Completion Report
@@ -431,67 +185,49 @@ Cover Generated!
Topic: [topic]
Type: [type] | Palette: [palette] | Rendering: [rendering]
Text: [text] | Mood: [mood] | Aspect: [ratio]
Title: [title text or "visual only"]
Text: [text] | Mood: [mood] | Font: [font] | Aspect: [ratio]
Title: [title or "visual only"]
Language: [lang] | Watermark: [enabled/disabled]
References: [N images (direct/style/palette) or "extracted style" or "none"]
References: [N images or "extracted style" or "none"]
Location: [directory path]
Files:
✓ source-{slug}.{ext}
[✓ refs/ref-01-{slug}.{ext} ... (if references saved)]
[✓ refs/ref-01-{slug}.md ... (description files)]
[✓ refs/extracted-style.md (if style extracted verbally)]
✓ prompts/cover.md
✓ cover.png
[✓ cover-backup-{timestamp}.png (if regenerated)]
```
## Image Modification
| Action | Steps |
|--------|-------|
| **Regenerate** | Backup existing → **Update prompt file FIRST** → Regenerate with same settings |
| **Change dimension** | Backup existing → Confirm new value → **Update prompt file FIRST** → Regenerate |
| **Regenerate** | Backup Update prompt file FIRST → Regenerate |
| **Change dimension** | Backup → Confirm new value → Update prompt → Regenerate |
**IMPORTANT**: When regenerating, ALWAYS update the prompt file (`prompts/cover.md`) FIRST before regenerating. This ensures changes are documented and reproducible.
## Composition Principles
All modifications automatically backup existing `cover.png` before regenerating.
- **Whitespace**: 40-60% breathing room
- **Visual anchor**: Main element centered or offset left
- **Characters**: Simplified silhouettes; NO realistic humans
- **Title**: Use exact title from user/source; never invent
## Notes
## Extension Support
- Cover must be readable at small preview sizes
- Visual metaphors > literal representations
- Title: readable, impactful
- Two confirmation points: Step 0 (first-time setup) + Step 2 (options) - skip Step 2 with `--quick`
- Use confirmed language for title text
- Maintain watermark consistency if enabled
- Check compatibility matrices when selecting combinations
- `--no-title` is alias for `--text none`
- `--style` presets are backward-compatible; explicit `--palette`/`--rendering` override preset values
Custom configurations via EXTEND.md. See **Step 0** for paths.
### Composition Principles
Supports: Watermark | Preferred dimensions | Default aspect/output | Quick mode | Custom palettes | Language
- **Generous whitespace**: 40-60% breathing room; avoid cluttered layouts
- **Visual anchor**: Main element centered or offset left (reserve right for title)
- **Character handling**: Simplified silhouettes or icon-style figures; NO realistic humans
- **Icon vocabulary**: Use simple, recognizable symbols (see [references/visual-elements.md](references/visual-elements.md))
### Title Handling
- **Source**: Use the exact title provided by user, or extract from source content
- **Do NOT invent titles**: Stay faithful to the original
- If no title in source and user doesn't provide one, ask user to specify
Schema: [references/config/preferences-schema.md](references/config/preferences-schema.md)
## References
**Dimensions**: [text.md](references/dimensions/text.md) | [mood.md](references/dimensions/mood.md)
**Dimensions**: [text.md](references/dimensions/text.md) | [mood.md](references/dimensions/mood.md) | [font.md](references/dimensions/font.md)
**Palettes**: [references/palettes/](references/palettes/)
**Renderings**: [references/renderings/](references/renderings/)
**Types**: [references/types.md](references/types.md)
**Auto-Selection**: [references/auto-selection.md](references/auto-selection.md)
**Style Presets**: [references/style-presets.md](references/style-presets.md)
**Compatibility**: [references/compatibility.md](references/compatibility.md)
**Types**: [references/types.md](references/types.md)
**Visual Elements**: [references/visual-elements.md](references/visual-elements.md)
**Workflow**: [confirm-options.md](references/workflow/confirm-options.md) | [prompt-template.md](references/workflow/prompt-template.md)
**Workflow**: [confirm-options.md](references/workflow/confirm-options.md) | [prompt-template.md](references/workflow/prompt-template.md) | [reference-images.md](references/workflow/reference-images.md)
**Config**: [preferences-schema.md](references/config/preferences-schema.md) | [first-time-setup.md](references/config/first-time-setup.md) | [watermark-guide.md](references/config/watermark-guide.md)
@@ -58,3 +58,14 @@ Default: `title-only`
| Launch, announcement, promotion, event, gaming, entertainment | `bold` |
Default: `balanced`
## Auto Font Selection
| Signals | Font |
|---------|------|
| Personal, lifestyle, human, warm, friendly, story | `handwritten` |
| Technical, professional, clean, modern, minimal, data | `clean` |
| Editorial, academic, luxury, classic, literary | `serif` |
| Announcement, entertainment, promotion, bold, event, gaming | `display` |
Default: `clean`
@@ -48,3 +48,12 @@
| metaphor | ✓✓ | ✓✓ | ✓ |
| scene | ✓✓ | ✓✓ | ✓ |
| minimal | ✓✓ | ✓✓ | ✗ |
## Font × Rendering
| | flat-vector | hand-drawn | painterly | digital | pixel | chalk |
|---|:---:|:---:|:---:|:---:|:---:|:---:|
| clean | ✓✓ | ✗ | ✗ | ✓✓ | ✓ | ✗ |
| handwritten | ✓ | ✓✓ | ✓✓ | ✓ | ✗ | ✓✓ |
| serif | ✓ | ✗ | ✓ | ✓✓ | ✗ | ✗ |
| display | ✓✓ | ✓ | ✓ | ✓✓ | ✓✓ | ✓ |
@@ -0,0 +1,163 @@
---
name: font-dimension
description: Typography style dimension for cover images
---
# Font Dimension
Controls typography style and character feel.
## Values
| Font | Visual Style | Line Quality | Character |
|------|--------------|--------------|-----------|
| `clean` | Geometric sans-serif | Sharp, uniform | Modern, precise, neutral |
| `handwritten` | Hand-lettered, brush | Organic, varied | Warm, personal, friendly |
| `serif` | Classic serifs, elegant | Refined, structured | Editorial, authoritative |
| `display` | Bold, decorative | Heavy, expressive | Attention-grabbing, playful |
## Detail
### clean
Modern, universal typography with neutral character.
**Characteristics**:
- Geometric sans-serif letterforms
- Sharp, uniform line weight
- Clean edges, no flourishes
- High readability at all sizes
- Minimal personality, maximum clarity
**Use Cases**:
- Technical documentation
- Professional/corporate content
- Minimal design approaches
- Data-driven articles
- Modern brand aesthetics
**Prompt Hints**:
- Use clean geometric sans-serif typography
- Modern, minimal letterforms
- Sharp edges, uniform stroke weight
- High contrast against background
### handwritten
Warm, organic typography with personal character.
**Characteristics**:
- Hand-lettered or brush style
- Organic, varied line weight
- Natural imperfections
- Approachable, human feel
- Casual yet intentional
**Use Cases**:
- Personal stories
- Lifestyle content
- Wellness and self-improvement
- Creative tutorials
- Friendly brand voices
**Prompt Hints**:
- Use warm hand-lettered typography with organic brush strokes
- Friendly, personal feel
- Natural variation in stroke weight
- Approachable, human character
### serif
Classic, elegant typography with editorial authority.
**Characteristics**:
- Traditional serif letterforms
- Refined, structured strokes
- Elegant proportions
- Timeless sophistication
- Formal, trustworthy feel
**Use Cases**:
- Editorial content
- Academic articles
- Luxury brand content
- Historical topics
- Literary pieces
**Prompt Hints**:
- Use elegant serif typography with refined letterforms
- Classic, editorial character
- Structured, proportional spacing
- Authoritative, sophisticated feel
### display
Bold, decorative typography for maximum impact.
**Characteristics**:
- Heavy, expressive letterforms
- Decorative elements
- Strong visual presence
- Playful or dramatic character
- Designed for headlines
**Use Cases**:
- Announcements
- Entertainment content
- Promotional materials
- Event marketing
- Gaming topics
**Prompt Hints**:
- Use bold decorative display typography
- Heavy, expressive headlines
- Strong visual impact
- Attention-grabbing character
## Default
`clean` — Universal, pairs well with most rendering styles.
## Rendering Compatibility
| Font × Rendering | flat-vector | hand-drawn | painterly | digital | pixel | chalk |
|------------------|:-----------:|:----------:|:---------:|:-------:|:-----:|:-----:|
| clean | ✓✓ | ✗ | ✗ | ✓✓ | ✓ | ✗ |
| handwritten | ✓ | ✓✓ | ✓✓ | ✓ | ✗ | ✓✓ |
| serif | ✓ | ✗ | ✓ | ✓✓ | ✗ | ✗ |
| display | ✓✓ | ✓ | ✓ | ✓✓ | ✓✓ | ✓ |
✓✓ = highly recommended | ✓ = compatible | ✗ = not recommended
## Type Compatibility
| Font × Type | hero | conceptual | typography | metaphor | scene | minimal |
|-------------|:----:|:----------:|:----------:|:--------:|:-----:|:-------:|
| clean | ✓ | ✓✓ | ✓✓ | ✓ | ✗ | ✓✓ |
| handwritten | ✓✓ | ✓ | ✓ | ✓✓ | ✓✓ | ✓ |
| serif | ✓ | ✓ | ✓✓ | ✓ | ✓ | ✓ |
| display | ✓✓ | ✓ | ✓✓ | ✓ | ✓ | ✗ |
## Palette Interaction
Font style adapts to palette characteristics:
| Palette Category | clean | handwritten | serif | display |
|------------------|-------|-------------|-------|---------|
| Warm (warm, earth, pastel) | Softer weight | Natural fit | Warm tones | Playful energy |
| Cool (cool, mono, elegant) | Perfect match | Contrast | Classic pairing | Bold statement |
| Dark (dark, vivid) | High contrast | Glow effects | Dramatic | Maximum impact |
| Vintage (retro) | Modern contrast | Nostalgic fit | Period-appropriate | Retro headlines |
## Auto Selection
When `--font` is omitted, select based on signals:
| Signals | Font |
|---------|------|
| Personal, lifestyle, human, warm, friendly, story | `handwritten` |
| Technical, professional, clean, modern, minimal, data | `clean` |
| Editorial, academic, luxury, classic, literary | `serif` |
| Announcement, entertainment, promotion, bold, event, gaming | `display` |
Default: `clean`
@@ -22,6 +22,7 @@
| `vector-illustration` | `retro` | `flat-vector` |
| `vintage` | `retro` | `hand-drawn` |
| `warm` | `warm` | `hand-drawn` |
| `warm-flat` | `warm` | `flat-vector` |
| `watercolor` | `earth` | `painterly` |
## Override Examples
@@ -2,22 +2,22 @@
## Purpose
Validate all 5 dimensions + aspect ratio.
Validate all 6 dimensions + aspect ratio.
## Skip Conditions
| Condition | Skipped Questions | Still Asked |
|-----------|-------------------|-------------|
| `--quick` flag | Type, Palette, Rendering, Text, Mood | **Aspect Ratio** (unless `--aspect` specified) |
| All 5 dimensions + `--aspect` specified | All | None |
| `quick_mode: true` in EXTEND.md | Type, Palette, Rendering, Text, Mood | **Aspect Ratio** (unless `--aspect` specified) |
| Otherwise | None | All 6 questions |
| `--quick` flag | Type, Palette, Rendering, Text, Mood, Font | **Aspect Ratio** (unless `--aspect` specified) |
| All 6 dimensions + `--aspect` specified | All | None |
| `quick_mode: true` in EXTEND.md | Type, Palette, Rendering, Text, Mood, Font | **Aspect Ratio** (unless `--aspect` specified) |
| Otherwise | None | All 7 questions |
**Important**: Aspect ratio is ALWAYS asked unless explicitly specified via `--aspect` CLI flag. User presets in EXTEND.md are shown as recommended option, not auto-selected.
## Quick Mode Output
When skipping 5 dimensions:
When skipping 6 dimensions:
```
Quick Mode: Auto-selected dimensions
@@ -26,8 +26,9 @@ Quick Mode: Auto-selected dimensions
• Rendering: [rendering] ([reason])
• Text: [text] ([reason])
• Mood: [mood] ([reason])
• Font: [font] ([reason])
[Then ask Question 6: Aspect Ratio]
[Then ask Question 7: Aspect Ratio]
```
## Confirmation Flow
@@ -91,7 +92,26 @@ options:
description: "Polished, precise, subtle gradients"
```
### Q4: Other Settings (skip if all remaining dimensions already specified)
### Q4: Font (skip if `--font`)
```yaml
header: "Font"
question: "Which font style?"
multiSelect: false
options:
- label: "[auto-recommended font] (Recommended)"
description: "[reason based on content signals]"
- label: "clean"
description: "Modern geometric sans-serif - tech, professional"
- label: "handwritten"
description: "Warm hand-lettered - personal, friendly"
- label: "serif"
description: "Classic elegant - editorial, luxury"
- label: "display"
description: "Bold decorative - announcements, entertainment"
```
### Q5: Other Settings (skip if all remaining dimensions already specified)
Combine remaining settings into one question. Include: Output Dir (if no preference + file path input), Text, Mood, Aspect. Show auto-selected values as recommended option. User can accept all or type adjustments via "Other".
@@ -26,6 +26,7 @@ Cover theme: [2-3 words visual interpretation]
Type: [confirmed type]
Palette: [confirmed palette]
Rendering: [confirmed rendering]
Font: [confirmed font]
Text level: [confirmed text level]
Mood: [confirmed mood]
Aspect ratio: [confirmed ratio]
@@ -44,6 +45,13 @@ Language: [confirmed language]
- balanced: "Use medium contrast, normal saturation, balanced visual weight"
- bold: "Use high contrast, vivid saturated colors, heavy visual weight, dynamic energy"
# Font Application
[Based on font style:]
- clean: "Use clean geometric sans-serif typography. Modern, minimal letterforms."
- handwritten: "Use warm hand-lettered typography with organic brush strokes. Friendly, personal feel."
- serif: "Use elegant serif typography with refined letterforms. Classic, editorial character."
- display: "Use bold decorative display typography. Heavy, expressive headlines."
# Composition
Type composition:
- [Type-specific layout and structure]
@@ -60,9 +68,15 @@ Palette notes: [key characteristics from palette definition]
[Watermark section if enabled]
[Reference images section if provided — see below]
[Reference images section if provided — REQUIRED, see below]
```
## Reference-Driven Design ⚠️ HIGH PRIORITY
When reference images are provided, they are the **primary visual input** and MUST strongly influence the output. The cover should look like it belongs to the same visual family as the references.
**Passing `--ref` alone is NOT enough.** Image generation models often ignore reference images unless the prompt text explicitly describes what to reproduce. Always combine `--ref` with detailed textual instructions.
## Content-Driven Design
- Article title and summary inform the visual metaphor choice
@@ -167,63 +181,67 @@ For each reference image, extract:
- **Color mood**: Palette characteristics (without specific colors)
- **Elements**: Key visual elements and symbols used
### Step 2: Embed in Prompt
### Step 2: Embed in Prompt ⚠️ CRITICAL
**If file saved AND skill supports `--ref`** (e.g., baoyu-image-gen with Google):
- Pass ref images directly via `--ref` parameter
- Add brief style note in prompt:
**Passing `--ref` alone is NOT enough.** Image generation models frequently ignore reference images unless the prompt text explicitly and forcefully describes what to reproduce. You MUST always write detailed textual instructions regardless of whether `--ref` is used.
**If file saved (with or without `--ref` support)**:
- Pass ref images via `--ref` parameter if skill supports it
- **ALWAYS** add a detailed mandatory section in the prompt body:
```
# Reference Style
Follow the visual style of the attached reference image(s):
- [1-2 sentence style summary from analysis]
# Reference Style — MUST INCORPORATE
CRITICAL: The generated cover MUST visually reference the provided images. The cover must feel like it belongs to the same visual family.
## From Ref 1 ([filename]) — REQUIRED elements:
- [Brand element]: [Specific description of logo/wordmark treatment, e.g., "The logo uses vertical parallel lines (|||) for the letter 'm'. Reproduce this exact treatment."]
- [Signature pattern]: [Specific description, e.g., "Woven intersecting curves forming a diamond/lozenge grid pattern. This MUST appear prominently as a banner, border, or background section."]
- [Colors]: [Exact hex values, e.g., "Dark teal #2D4A3E background, cream #F5F0E0 text"]
- [Typography]: [Specific treatment, e.g., "Uppercase text with wide letter-spacing"]
- [Layout element]: [Specific spatial element, e.g., "Bottom banner strip in dark color"]
## From Ref 2 ([filename]) — REQUIRED elements:
[Same detailed breakdown]
## Integration approach:
[Specific layout instruction describing how reference elements combine with the cover content, e.g., "Use a SPLIT LAYOUT: main illustration area (warm cream background) occupies ~65% of the image, while a dark teal BANNER STRIP (with the woven line pattern from Ref 2) runs along the bottom ~35%, containing branding elements from Ref 1."]
```
**If file saved BUT skill does NOT support `--ref`**:
- Embed detailed text description in prompt:
```
# Reference Style (Text Description)
Emulate the following visual style from reference image(s):
Reference 1: [filename]
- Style: [detailed rendering technique description]
- Composition: [layout and hierarchy description]
- Elements: [key visual elements used]
- Mood: [emotional tone and visual weight]
[Repeat for additional references]
Apply these style characteristics to the cover design while maintaining the specified Type, Palette, and Rendering dimensions.
```
**Key rules**:
- Each visual element gets its own bullet with "MUST" or "REQUIRED"
- Descriptions must be **specific enough to reproduce** — not vague ("clean style")
- The integration approach must describe **exact spatial arrangement**
- After generation, verify reference elements are visible; if not, strengthen and regenerate
**If style/palette extracted verbally (NO file saved)**:
- DO NOT add references metadata to prompt
- Append extracted info directly to prompt body:
- Append extracted info directly to prompt body using the same MUST INCORPORATE format above:
```
# Extracted Style (from reference)
# Reference Style — MUST INCORPORATE (extracted from visual analysis)
COLORS (from reference):
- Primary: #E8756D coral
- Secondary: #7ECFC0 mint
...
CRITICAL: Apply these specific visual elements extracted from the reference images.
STYLE (from reference):
- Clean lines, minimal shadows
- Gradient backgrounds
- Flat vector icons
...
## REQUIRED elements:
- [Same detailed bullet format as above]
## Integration approach:
[Same spatial layout instruction]
```
### Reference Analysis Template
Use this format when analyzing reference images:
Use this format when analyzing reference images. Extract **specific, concrete, reproducible** details — not vague summaries.
| Aspect | Analysis Points |
|--------|-----------------|
| **Rendering** | Line quality (clean/sketchy/painted), texture presence, depth treatment |
| **Composition** | Element placement, whitespace ratio, visual flow |
| **Typography** | Font style, text placement, hierarchy (if present) |
| **Elements** | Icon vocabulary, decorative motifs, character style |
| **Mood** | Contrast level, saturation, visual weight |
| Aspect | Analysis Points | Good Example | Bad Example |
|--------|-----------------|--------------|-------------|
| **Brand elements** | Logos, wordmarks, distinctive typography | "Logo 'm' formed by 3 vertical lines" | "Has a logo" |
| **Signature patterns** | Unique motifs, textures, geometric patterns | "Woven curves forming diamond grid" | "Has patterns" |
| **Colors** | Exact hex values or close approximations | "#2D4A3E dark teal, #F5F0E0 cream" | "Dark and light" |
| **Layout** | Spatial zones, banner placement, proportions | "Bottom 30% is dark banner with branding" | "Has a banner" |
| **Typography** | Font style, weight, case, spacing, position | "Uppercase, wide letter-spacing, right-aligned" | "Has text" |
| **Rendering** | Line quality, texture, depth treatment | "Topographic contour lines as background texture" | "Clean style" |
| **Elements** | Icon vocabulary, decorative motifs | "Geometric intersecting line ornaments at corners" | "Has decorations" |
**Output**: Each extracted element should be written as a **copy-pasteable prompt instruction** prefixed with "MUST" or "REQUIRED".
@@ -0,0 +1,86 @@
# Reference Image Handling
Guide for processing user-provided reference images in cover generation.
## Input Detection
| Input Type | Action |
|------------|--------|
| Image file path provided | Copy to `refs/` → can use `--ref` |
| Image in conversation (no path) | **ASK user for file path** with AskUserQuestion |
| User can't provide path | Extract style/palette verbally → append to prompt (NO frontmatter references) |
**CRITICAL**: Only add `references` to prompt frontmatter if files are ACTUALLY SAVED to `refs/` directory.
## File Saving
**If user provides file path**:
1. Copy to `refs/ref-NN-{slug}.{ext}` (NN = 01, 02, ...)
2. Create description: `refs/ref-NN-{slug}.md`
3. Verify files exist before proceeding
**Description File Format**:
```yaml
---
ref_id: NN
filename: ref-NN-{slug}.{ext}
usage: direct | style | palette
---
[User's description or auto-generated description]
```
| Usage | When to Use |
|-------|-------------|
| `direct` | Reference matches desired output closely |
| `style` | Extract visual style characteristics only |
| `palette` | Extract color scheme only |
## Verbal Extraction (No File)
When user can't provide file path:
1. Analyze image visually, extract: colors, style, composition
2. Create `refs/extracted-style.md` with extracted info
3. DO NOT add `references` to prompt frontmatter
4. Append extracted style/colors directly to prompt text
## Deep Analysis ⚠️ CRITICAL
References are high-priority inputs. Extract **specific, concrete, reproducible** elements:
| Analysis | Description | Example (good vs bad) |
|----------|-------------|----------------------|
| **Brand elements** | Logos, wordmarks, specific typography | Good: "Logo uses vertical parallel lines for 'm'" / Bad: "Has a logo" |
| **Signature patterns** | Unique decorative motifs, textures | Good: "Woven intersecting curves forming diamond grid" / Bad: "Has patterns" |
| **Color palette** | Exact hex values for key colors | Good: "#2D4A3E dark teal, #F5F0E0 cream" / Bad: "Dark and light colors" |
| **Layout structure** | Specific spatial arrangement | Good: "Bottom 30% dark banner with branding" / Bad: "Has a banner" |
| **Typography** | Font style, weight, spacing, case | Good: "Uppercase, wide letter-spacing" / Bad: "Has text" |
| **Content/subject** | What the reference depicts | Factual description |
| **Usage recommendation** | `direct` / `style` / `palette` | Based on analysis |
**Output format**: List each element as bullet that can be copy-pasted into prompt as mandatory instruction.
## Verification Output
**For saved files**:
```
Reference Images Saved:
- ref-01-{slug}.png ✓ (can use --ref)
- ref-02-{slug}.png ✓ (can use --ref)
```
**For extracted style**:
```
Reference Style Extracted (no file):
- Colors: #E8756D coral, #7ECFC0 mint...
- Style: minimal flat vector, clean lines...
→ Will append to prompt text (not --ref)
```
## Priority Rules
When user provides references, they are **HIGH PRIORITY**:
- **References override defaults**: If reference conflicts with preferred palette/rendering, reference takes precedence
- **Concrete > abstract**: Extract specific elements — not vague "clean style"
- **Mandatory language**: Use "MUST", "REQUIRED" in prompt for reference elements
- **Visible in output**: Verify elements are present after generation; strengthen prompt if not
+15 -9
View File
@@ -41,7 +41,9 @@ test -f "$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md" && echo "user"
│ Not found │ Use defaults │
└───────────┴───────────────────────────────────────────────────────────────────────────┘
**EXTEND.md Supports**: Default provider | Default quality | Default aspect ratio
**EXTEND.md Supports**: Default provider | Default quality | Default aspect ratio | Default image size | Default models
Schema: `references/config/preferences-schema.md`
## Usage
@@ -58,9 +60,12 @@ npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --quali
# From prompt files
npx -y bun ${SKILL_DIR}/scripts/main.ts --promptfiles system.md content.md --image out.png
# With reference images (Google multimodal only)
# With reference images (Google multimodal or OpenAI edits)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png
# With reference images (explicit provider/model)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --provider google --model gemini-3-pro-image-preview --ref source.png
# Specific provider
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider openai
@@ -76,12 +81,12 @@ npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "一只可爱的猫" --image ou
| `--promptfiles <files...>` | Read prompt from files (concatenated) |
| `--image <path>` | Output image path (required) |
| `--provider google\|openai\|dashscope` | Force provider (default: google) |
| `--model <id>`, `-m` | Model ID |
| `--model <id>`, `-m` | Model ID (`--ref` with OpenAI requires GPT Image model, e.g. `gpt-image-1.5`) |
| `--ar <ratio>` | Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) |
| `--size <WxH>` | Size (e.g., `1024x1024`) |
| `--quality normal\|2k` | Quality preset (default: 2k) |
| `--imageSize 1K\|2K\|4K` | Image size for Google (default: from quality) |
| `--ref <files...>` | Reference images (Google multimodal only) |
| `--ref <files...>` | Reference images. Supported by Google multimodal and OpenAI edits (GPT Image models). If provider omitted: Google first, then OpenAI |
| `--n <count>` | Number of images |
| `--json` | JSON output |
@@ -99,13 +104,14 @@ npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "一只可爱的猫" --image ou
| `GOOGLE_BASE_URL` | Custom Google endpoint |
| `DASHSCOPE_BASE_URL` | Custom DashScope endpoint |
**Load Priority**: CLI args > env vars > `<cwd>/.baoyu-skills/.env` > `~/.baoyu-skills/.env`
**Load Priority**: CLI args > EXTEND.md > env vars > `<cwd>/.baoyu-skills/.env` > `~/.baoyu-skills/.env`
## Provider Selection
1. `--provider` specified → use it
2. Only one API key available → use that provider
3. Multiple available → default to Google
1. `--ref` provided + no `--provider` → auto-select Google first, then OpenAI
2. `--provider` specified → use it (if `--ref`, must be `google` or `openai`)
3. Only one API key available → use that provider
4. Multiple available → default to Google
## Quality Presets
@@ -155,7 +161,7 @@ Supported: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `2.35:1`
- Missing API key → error with setup instructions
- Generation failure → auto-retry once
- Invalid aspect ratio → warning, proceed with default
- Reference images with non-multimodal model → warning, ignore refs
- Reference images with unsupported provider/model → error with fix hint (switch to Google multimodal or OpenAI GPT Image edits)
## Extension Support
@@ -0,0 +1,66 @@
---
name: preferences-schema
description: EXTEND.md YAML schema for baoyu-image-gen user preferences
---
# Preferences Schema
## Full Schema
```yaml
---
version: 1
default_provider: null # google|openai|dashscope|null (null = auto-detect)
default_quality: null # normal|2k|null (null = use default: 2k)
default_aspect_ratio: null # "16:9"|"1:1"|"4:3"|"3:4"|"2.35:1"|null
default_image_size: null # 1K|2K|4K|null (Google only, overrides quality)
default_model:
google: null # e.g., "gemini-3-pro-image-preview"
openai: null # e.g., "gpt-image-1.5"
dashscope: null # e.g., "z-image-turbo"
---
```
## Field Reference
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `version` | int | 1 | Schema version |
| `default_provider` | string\|null | null | Default provider (null = auto-detect) |
| `default_quality` | string\|null | null | Default quality (null = 2k) |
| `default_aspect_ratio` | string\|null | null | Default aspect ratio |
| `default_image_size` | string\|null | null | Google image size (overrides quality) |
| `default_model.google` | string\|null | null | Google default model |
| `default_model.openai` | string\|null | null | OpenAI default model |
| `default_model.dashscope` | string\|null | null | DashScope default model |
## Examples
**Minimal**:
```yaml
---
version: 1
default_provider: google
default_quality: 2k
---
```
**Full**:
```yaml
---
version: 1
default_provider: google
default_quality: 2k
default_aspect_ratio: "16:9"
default_image_size: 2K
default_model:
google: "gemini-3-pro-image-preview"
openai: "gpt-image-1.5"
dashscope: "z-image-turbo"
---
```
+148 -14
View File
@@ -1,8 +1,8 @@
import path from "node:path";
import process from "node:process";
import { homedir } from "node:os";
import { mkdir, readFile, writeFile } from "node:fs/promises";
import type { CliArgs, Provider } from "./types";
import { access, mkdir, readFile, writeFile } from "node:fs/promises";
import type { CliArgs, Provider, ExtendConfig } from "./types";
function printUsage(): void {
console.log(`Usage:
@@ -20,7 +20,7 @@ Options:
--size <WxH> Size (e.g., 1024x1024)
--quality normal|2k Quality preset (default: 2k)
--imageSize 1K|2K|4K Image size for Google (default: from quality)
--ref <files...> Reference images (Google multimodal only)
--ref <files...> Reference images (Google multimodal or OpenAI edits)
--n <count> Number of images (default: 1)
--json JSON output
-h, --help Show help
@@ -37,7 +37,7 @@ Environment variables:
GOOGLE_BASE_URL Custom Google endpoint
DASHSCOPE_BASE_URL Custom DashScope endpoint
Env file load order: CLI args > process.env > <cwd>/.baoyu-skills/.env > ~/.baoyu-skills/.env`);
Env file load order: CLI args > EXTEND.md > process.env > <cwd>/.baoyu-skills/.env > ~/.baoyu-skills/.env`);
}
function parseArgs(argv: string[]): CliArgs {
@@ -49,7 +49,7 @@ function parseArgs(argv: string[]): CliArgs {
model: null,
aspectRatio: null,
size: null,
quality: "2k",
quality: null,
imageSize: null,
referenceImages: [],
n: 1,
@@ -215,6 +215,87 @@ async function loadEnv(): Promise<void> {
}
}
function extractYamlFrontMatter(content: string): string | null {
const match = content.match(/^---\s*\n([\s\S]*?)\n---\s*$/m);
return match ? match[1] : null;
}
function parseSimpleYaml(yaml: string): Partial<ExtendConfig> {
const config: Partial<ExtendConfig> = {};
const lines = yaml.split("\n");
let currentKey: string | null = null;
for (const line of lines) {
const trimmed = line.trim();
if (!trimmed || trimmed.startsWith("#")) continue;
if (trimmed.includes(":") && !trimmed.startsWith("-")) {
const colonIdx = trimmed.indexOf(":");
const key = trimmed.slice(0, colonIdx).trim();
let value = trimmed.slice(colonIdx + 1).trim();
if (value === "null" || value === "") {
value = "null";
}
if (key === "version") {
config.version = value === "null" ? 1 : parseInt(value, 10);
} else if (key === "default_provider") {
config.default_provider = value === "null" ? null : (value as Provider);
} else if (key === "default_quality") {
config.default_quality = value === "null" ? null : (value as "normal" | "2k");
} else if (key === "default_aspect_ratio") {
const cleaned = value.replace(/['"]/g, "");
config.default_aspect_ratio = cleaned === "null" ? null : cleaned;
} else if (key === "default_image_size") {
config.default_image_size = value === "null" ? null : (value as "1K" | "2K" | "4K");
} else if (key === "default_model") {
config.default_model = { google: null, openai: null, dashscope: null };
currentKey = "default_model";
} else if (currentKey === "default_model" && (key === "google" || key === "openai" || key === "dashscope")) {
const cleaned = value.replace(/['"]/g, "");
config.default_model![key] = cleaned === "null" ? null : cleaned;
}
}
}
return config;
}
async function loadExtendConfig(): Promise<Partial<ExtendConfig>> {
const home = homedir();
const cwd = process.cwd();
const paths = [
path.join(cwd, ".baoyu-skills", "baoyu-image-gen", "EXTEND.md"),
path.join(home, ".baoyu-skills", "baoyu-image-gen", "EXTEND.md"),
];
for (const p of paths) {
try {
const content = await readFile(p, "utf8");
const yaml = extractYamlFrontMatter(content);
if (!yaml) continue;
return parseSimpleYaml(yaml);
} catch {
continue;
}
}
return {};
}
function mergeConfig(args: CliArgs, extend: Partial<ExtendConfig>): CliArgs {
return {
...args,
provider: args.provider ?? extend.default_provider ?? null,
quality: args.quality ?? extend.default_quality ?? null,
aspectRatio: args.aspectRatio ?? extend.default_aspect_ratio ?? null,
imageSize: args.imageSize ?? extend.default_image_size ?? null,
};
}
async function readPromptFromFiles(files: string[]): Promise<string> {
const parts: string[] = [];
for (const f of files) {
@@ -242,12 +323,26 @@ function normalizeOutputImagePath(p: string): string {
}
function detectProvider(args: CliArgs): Provider {
if (args.referenceImages.length > 0 && args.provider && args.provider !== "google" && args.provider !== "openai") {
throw new Error(
"Reference images require a ref-capable provider. Use --provider google (Gemini multimodal) or --provider openai (GPT Image edits)."
);
}
if (args.provider) return args.provider;
const hasGoogle = !!(process.env.GOOGLE_API_KEY || process.env.GEMINI_API_KEY);
const hasOpenai = !!process.env.OPENAI_API_KEY;
const hasDashscope = !!process.env.DASHSCOPE_API_KEY;
if (args.referenceImages.length > 0) {
if (hasGoogle) return "google";
if (hasOpenai) return "openai";
throw new Error(
"Reference images require Google or OpenAI. Set GOOGLE_API_KEY/GEMINI_API_KEY or OPENAI_API_KEY, or remove --ref."
);
}
const available = [hasGoogle && "google", hasOpenai && "openai", hasDashscope && "dashscope"].filter(Boolean) as Provider[];
if (available.length === 1) return available[0]!;
@@ -259,11 +354,34 @@ function detectProvider(args: CliArgs): Provider {
);
}
async function validateReferenceImages(referenceImages: string[]): Promise<void> {
for (const refPath of referenceImages) {
const fullPath = path.resolve(refPath);
try {
await access(fullPath);
} catch {
throw new Error(`Reference image not found: ${fullPath}`);
}
}
}
type ProviderModule = {
getDefaultModel: () => string;
generateImage: (prompt: string, model: string, args: CliArgs) => Promise<Uint8Array>;
};
function isRetryableGenerationError(error: unknown): boolean {
const msg = error instanceof Error ? error.message : String(error);
const nonRetryableMarkers = [
"Reference image",
"not supported",
"only supported",
"No API key found",
"is required",
];
return !nonRetryableMarkers.some((marker) => msg.includes(marker));
}
async function loadProviderModule(provider: Provider): Promise<ProviderModule> {
if (provider === "google") {
return (await import("./providers/google")) as ProviderModule;
@@ -283,9 +401,13 @@ async function main(): Promise<void> {
}
await loadEnv();
const extendConfig = await loadExtendConfig();
const mergedArgs = mergeConfig(args, extendConfig);
let prompt: string | null = args.prompt;
if (!prompt && args.promptFiles.length > 0) prompt = await readPromptFromFiles(args.promptFiles);
if (!mergedArgs.quality) mergedArgs.quality = "2k";
let prompt: string | null = mergedArgs.prompt;
if (!prompt && mergedArgs.promptFiles.length > 0) prompt = await readPromptFromFiles(mergedArgs.promptFiles);
if (!prompt) prompt = await readPromptFromStdin();
if (!prompt) {
@@ -295,27 +417,39 @@ async function main(): Promise<void> {
return;
}
if (!args.imagePath) {
if (!mergedArgs.imagePath) {
console.error("Error: --image is required");
printUsage();
process.exitCode = 1;
return;
}
const provider = detectProvider(args);
if (mergedArgs.referenceImages.length > 0) {
await validateReferenceImages(mergedArgs.referenceImages);
}
const provider = detectProvider(mergedArgs);
const providerModule = await loadProviderModule(provider);
const model = args.model || providerModule.getDefaultModel();
const outputPath = normalizeOutputImagePath(args.imagePath);
let model = mergedArgs.model;
if (!model && extendConfig.default_model) {
if (provider === "google") model = extendConfig.default_model.google ?? null;
if (provider === "openai") model = extendConfig.default_model.openai ?? null;
if (provider === "dashscope") model = extendConfig.default_model.dashscope ?? null;
}
model = model || providerModule.getDefaultModel();
const outputPath = normalizeOutputImagePath(mergedArgs.imagePath);
let imageData: Uint8Array;
let retried = false;
while (true) {
try {
imageData = await providerModule.generateImage(prompt, model, args);
imageData = await providerModule.generateImage(prompt, model, mergedArgs);
break;
} catch (e) {
if (!retried) {
if (!retried && isRetryableGenerationError(e)) {
retried = true;
console.error("Generation failed, retrying...");
continue;
@@ -328,7 +462,7 @@ async function main(): Promise<void> {
await mkdir(dir, { recursive: true });
await writeFile(outputPath, imageData);
if (args.json) {
if (mergedArgs.json) {
console.log(
JSON.stringify(
{
@@ -58,7 +58,9 @@ export async function generateImage(
if (!apiKey) throw new Error("DASHSCOPE_API_KEY is required");
if (args.referenceImages.length > 0) {
console.error("Warning: Reference images not yet supported with DashScope, ignoring.");
throw new Error(
"Reference images are not supported with DashScope provider in baoyu-image-gen. Use --provider google with a Gemini multimodal model."
);
}
const size = args.size ? normalizeSize(args.size) : getSizeFromAspectRatio(args.aspectRatio, args.quality);
@@ -216,13 +216,17 @@ export async function generateImage(
): Promise<Uint8Array> {
if (isGoogleImagen(model)) {
if (args.referenceImages.length > 0) {
console.error("Warning: Reference images not supported with Imagen models, ignoring.");
throw new Error(
"Reference images are not supported with Imagen models. Use gemini-3-pro-image-preview or gemini-3-flash-preview."
);
}
return generateWithImagen(prompt, model, args);
}
if (!isGoogleMultimodal(model) && args.referenceImages.length > 0) {
console.error("Warning: Reference images are only supported with Gemini multimodal models.");
throw new Error(
"Reference images are only supported with Gemini multimodal models. Use gemini-3-pro-image-preview or gemini-3-flash-preview."
);
}
return generateWithGemini(prompt, model, args);
@@ -1,9 +1,13 @@
import path from "node:path";
import { readFile } from "node:fs/promises";
import type { CliArgs } from "../types";
export function getDefaultModel(): string {
return process.env.OPENAI_IMAGE_MODEL || "gpt-image-1.5";
}
type OpenAIImageResponse = { data: Array<{ url?: string; b64_json?: string }> };
function parseAspectRatio(ar: string): { width: number; height: number } | null {
const match = ar.match(/^(\d+(?:\.\d+)?):(\d+(?:\.\d+)?)$/);
if (!match) return null;
@@ -66,20 +70,32 @@ export async function generateImage(
if (!apiKey) throw new Error("OPENAI_API_KEY is required");
if (args.referenceImages.length > 0) {
console.error("Warning: Reference images not supported with OpenAI, ignoring.");
}
const size = args.size || getOpenAISize(model, args.aspectRatio, args.quality);
const body: Record<string, any> = {
model,
prompt,
size,
};
if (args.referenceImages.length > 0) {
if (model.includes("dall-e-2") || model.includes("dall-e-3")) {
throw new Error(
"Reference images with OpenAI in this skill require GPT Image models. Use --model gpt-image-1.5 (or another gpt-image model)."
);
}
return generateWithOpenAIEdits(baseURL, apiKey, prompt, model, size, args.referenceImages, args.quality);
}
return generateWithOpenAIGenerations(baseURL, apiKey, prompt, model, size, args.quality);
}
async function generateWithOpenAIGenerations(
baseURL: string,
apiKey: string,
prompt: string,
model: string,
size: string,
quality: CliArgs["quality"]
): Promise<Uint8Array> {
const body: Record<string, any> = { model, prompt, size };
if (model.includes("dall-e-3")) {
body.quality = args.quality === "2k" ? "hd" : "standard";
body.quality = quality === "2k" ? "hd" : "standard";
}
const res = await fetch(`${baseURL}/images/generations`, {
@@ -96,7 +112,62 @@ export async function generateImage(
throw new Error(`OpenAI API error: ${err}`);
}
const result = (await res.json()) as { data: Array<{ url?: string; b64_json?: string }> };
const result = (await res.json()) as OpenAIImageResponse;
return extractImageFromResponse(result);
}
async function generateWithOpenAIEdits(
baseURL: string,
apiKey: string,
prompt: string,
model: string,
size: string,
referenceImages: string[],
quality: CliArgs["quality"]
): Promise<Uint8Array> {
const form = new FormData();
form.append("model", model);
form.append("prompt", prompt);
form.append("size", size);
if (model.includes("gpt-image")) {
form.append("quality", quality === "2k" ? "high" : "medium");
}
for (const refPath of referenceImages) {
const bytes = await readFile(refPath);
const filename = path.basename(refPath);
const mimeType = getMimeType(filename);
const blob = new Blob([bytes], { type: mimeType });
form.append("image[]", blob, filename);
}
const res = await fetch(`${baseURL}/images/edits`, {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
},
body: form,
});
if (!res.ok) {
const err = await res.text();
throw new Error(`OpenAI edits API error: ${err}`);
}
const result = (await res.json()) as OpenAIImageResponse;
return extractImageFromResponse(result);
}
function getMimeType(filename: string): string {
const ext = path.extname(filename).toLowerCase();
if (ext === ".jpg" || ext === ".jpeg") return "image/jpeg";
if (ext === ".webp") return "image/webp";
if (ext === ".gif") return "image/gif";
return "image/png";
}
async function extractImageFromResponse(result: OpenAIImageResponse): Promise<Uint8Array> {
const img = result.data[0];
if (img?.b64_json) {
+14 -1
View File
@@ -9,10 +9,23 @@ export type CliArgs = {
model: string | null;
aspectRatio: string | null;
size: string | null;
quality: Quality;
quality: Quality | null;
imageSize: string | null;
referenceImages: string[];
n: number;
json: boolean;
help: boolean;
};
export type ExtendConfig = {
version: number;
default_provider: Provider | null;
default_quality: Quality | null;
default_aspect_ratio: string | null;
default_image_size: "1K" | "2K" | "4K" | null;
default_model: {
google: string | null;
openai: string | null;
dashscope: string | null;
};
};
+63 -5
View File
@@ -1,6 +1,6 @@
---
name: baoyu-post-to-wechat
description: Posts content to WeChat Official Account (微信公众号) via API or Chrome CDP. Supports article posting (文章) with HTML, markdown, or plain text input, and image-text posting (图文) with multiple images. Use when user mentions "发布公众号", "post to wechat", "微信公众号", or "图文/文章".
description: Posts content to WeChat Official Account (微信公众号) via API or Chrome CDP. Supports article posting (文章) with HTML, markdown, or plain text input, and image-text posting (贴图, formerly 图文) with multiple images. Use when user mentions "发布公众号", "post to wechat", "微信公众号", or "贴图/图文/文章".
---
# Post to WeChat Official Account
@@ -44,10 +44,37 @@ test -f "$HOME/.baoyu-skills/baoyu-post-to-wechat/EXTEND.md" && echo "user"
├───────────┼───────────────────────────────────────────────────────────────────────────┤
│ Found │ Read, parse, apply settings │
├───────────┼───────────────────────────────────────────────────────────────────────────┤
│ Not found │ Use defaults
│ Not found │ Run first-time setup ([references/config/first-time-setup.md](references/config/first-time-setup.md)) → Save → Continue
└───────────┴───────────────────────────────────────────────────────────────────────────┘
**EXTEND.md Supports**: Default theme | Default publishing method (api/browser) | Default author | Chrome profile path
**EXTEND.md Supports**: Default theme | Default publishing method (api/browser) | Default author | Default open-comment switch | Default fans-only-comment switch | Chrome profile path
First-time setup: [references/config/first-time-setup.md](references/config/first-time-setup.md)
**Minimum supported keys** (case-insensitive, accept `1/0` or `true/false`):
| Key | Default | Mapping |
|-----|---------|---------|
| `default_author` | empty | Fallback for `author` when CLI/frontmatter not provided |
| `need_open_comment` | `1` | `articles[].need_open_comment` in `draft/add` request |
| `only_fans_can_comment` | `0` | `articles[].only_fans_can_comment` in `draft/add` request |
**Recommended EXTEND.md example**:
```md
default_theme: default
default_publish_method: api
default_author: 宝玉
need_open_comment: 1
only_fans_can_comment: 0
chrome_profile_path: /path/to/chrome/profile
```
**Value priority**:
1. CLI arguments
2. Frontmatter
3. EXTEND.md
4. Skill defaults
## Image-Text Posting (图文)
@@ -70,7 +97,7 @@ Publishing Progress:
- [ ] Step 1: Determine input type
- [ ] Step 2: Check markdown-to-html skill
- [ ] Step 3: Convert to HTML
- [ ] Step 4: Validate metadata (title, summary)
- [ ] Step 4: Validate metadata (title, summary, cover)
- [ ] Step 5: Select method and configure credentials
- [ ] Step 6: Publish to WeChat
- [ ] Step 7: Report completion
@@ -80,6 +107,13 @@ Publishing Progress:
Check and load EXTEND.md settings (see Preferences section above).
**CRITICAL**: If not found, complete first-time setup BEFORE any other steps or questions.
Resolve and store these defaults for later steps:
- `default_author`
- `need_open_comment` (default `1`)
- `only_fans_can_comment` (default `0`)
### Step 1: Determine Input Type
| Input Type | Detection | Action |
@@ -162,11 +196,19 @@ Check extracted metadata from Step 3 (or HTML meta tags if direct HTML input).
|-------|------------|
| Title | Prompt: "Enter title, or press Enter to auto-generate from content" |
| Summary | Prompt: "Enter summary, or press Enter to auto-generate (recommended for SEO)" |
| Author | Use fallback chain: CLI `--author` → frontmatter `author` → EXTEND.md `default_author` |
**Auto-Generation Logic**:
- **Title**: First H1/H2 heading, or first sentence
- **Summary**: First paragraph, truncated to 120 characters
**Cover Image Check** (required for `article_type=news`):
1. Use CLI `--cover` if provided.
2. Else use frontmatter (`featureImage`, `coverImage`, `cover`, `image`).
3. Else check article directory default path: `imgs/cover.png`.
4. Else fallback to first inline content image.
5. If still missing, stop and request a cover image before publishing.
### Step 5: Select Publishing Method and Configure
**Ask publishing method** (unless specified in EXTEND.md or CLI):
@@ -213,9 +255,20 @@ WECHAT_APP_SECRET=<user_input>
**API method**:
```bash
npx -y bun ${SKILL_DIR}/scripts/wechat-api.ts <html_file> [--title <title>] [--summary <summary>]
npx -y bun ${SKILL_DIR}/scripts/wechat-api.ts <html_file> [--title <title>] [--summary <summary>] [--author <author>] [--cover <cover_path>]
```
**`draft/add` payload rules**:
- Use endpoint: `POST https://api.weixin.qq.com/cgi-bin/draft/add?access_token=ACCESS_TOKEN`
- `article_type`: `news` (default) or `newspic`
- For `news`, include `thumb_media_id` (cover is required)
- Always resolve and send:
- `need_open_comment` (default `1`)
- `only_fans_can_comment` (default `0`)
- `author` resolution: CLI `--author` → frontmatter `author` → EXTEND.md `default_author`
If script parameters do not expose the two comment fields, still ensure final API request body includes resolved values.
**Browser method**:
```bash
@@ -237,6 +290,7 @@ Article:
• Title: [title]
• Summary: [summary]
• Images: [N] inline images
• Comments: [open/closed], [fans-only/all users]
Result:
✓ Draft saved to WeChat Official Account
@@ -289,6 +343,8 @@ Files created:
| Multiple images | ✓ (up to 9) | ✓ (inline) | ✓ (inline) |
| Themes | ✗ | ✓ | ✓ |
| Auto-generate metadata | ✗ | ✓ | ✓ |
| Default cover fallback (`imgs/cover.png`) | ✗ | ✓ | ✗ |
| Comment control (`need_open_comment`, `only_fans_can_comment`) | ✗ | ✓ | ✗ |
| Requires Chrome | ✓ | ✗ | ✓ |
| Requires API credentials | ✗ | ✓ | ✗ |
| Speed | Medium | Fast | Slow |
@@ -322,6 +378,8 @@ Files created:
| Not logged in (browser) | First run opens browser - scan QR to log in |
| Chrome not found | Set `WECHAT_BROWSER_CHROME_PATH` env var |
| Title/summary missing | Use auto-generation or provide manually |
| No cover image | Add frontmatter cover or place `imgs/cover.png` in article directory |
| Wrong comment defaults | Check `EXTEND.md` keys `need_open_comment` and `only_fans_can_comment` |
| Paste fails | Check system clipboard permissions |
## Extension Support
@@ -0,0 +1,146 @@
---
name: first-time-setup
description: First-time setup flow for baoyu-post-to-wechat preferences
---
# First-Time Setup
## Overview
When no EXTEND.md is found, guide user through preference setup.
**BLOCKING OPERATION**: This setup MUST complete before ANY other workflow steps. Do NOT:
- Ask about content or files to publish
- Ask about themes or publishing methods
- Proceed to content conversion or publishing
ONLY ask the questions in this setup flow, save EXTEND.md, then continue.
## Setup Flow
```
No EXTEND.md found
|
v
+---------------------+
| AskUserQuestion |
| (all questions) |
+---------------------+
|
v
+---------------------+
| Create EXTEND.md |
+---------------------+
|
v
Continue to Step 1
```
## Questions
**Language**: Use user's input language or saved language preference.
Use AskUserQuestion with ALL questions in ONE call:
### Question 1: Default Theme
```yaml
header: "Theme"
question: "Default theme for article conversion?"
options:
- label: "default (Recommended)"
description: "Classic layout - centered title with border, white-on-color H2"
- label: "grace"
description: "Elegant - text shadows, rounded cards, refined blockquotes"
- label: "simple"
description: "Minimal modern - asymmetric rounded corners, clean whitespace"
```
### Question 2: Default Publishing Method
```yaml
header: "Method"
question: "Default publishing method?"
options:
- label: "api (Recommended)"
description: "Fast, requires API credentials (AppID + AppSecret)"
- label: "browser"
description: "Slow, requires Chrome and login session"
```
### Question 3: Default Author
```yaml
header: "Author"
question: "Default author name for articles?"
options:
- label: "No default"
description: "Leave empty, specify per article"
```
Note: User will likely choose "Other" to type their author name.
### Question 4: Open Comments
```yaml
header: "Comments"
question: "Enable comments on articles by default?"
options:
- label: "Yes (Recommended)"
description: "Allow readers to comment on articles"
- label: "No"
description: "Disable comments by default"
```
### Question 5: Fans-Only Comments
```yaml
header: "Fans only"
question: "Restrict comments to followers only?"
options:
- label: "No (Recommended)"
description: "All readers can comment"
- label: "Yes"
description: "Only followers can comment"
```
### Question 6: Save Location
```yaml
header: "Save"
question: "Where to save preferences?"
options:
- label: "Project (Recommended)"
description: ".baoyu-skills/ (this project only)"
- label: "User"
description: "~/.baoyu-skills/ (all projects)"
```
## Save Locations
| Choice | Path | Scope |
|--------|------|-------|
| Project | `.baoyu-skills/baoyu-post-to-wechat/EXTEND.md` | Current project |
| User | `~/.baoyu-skills/baoyu-post-to-wechat/EXTEND.md` | All projects |
## After Setup
1. Create directory if needed
2. Write EXTEND.md
3. Confirm: "Preferences saved to [path]"
4. Continue to Step 0 (load the saved preferences)
## EXTEND.md Template
```md
default_theme: [default/grace/simple]
default_publish_method: [api/browser]
default_author: [author name or empty]
need_open_comment: [1/0]
only_fans_can_comment: [1/0]
chrome_profile_path:
```
## Modifying Preferences Later
Users can edit EXTEND.md directly or delete it to trigger setup again.
@@ -1,7 +1,9 @@
# Image-Text Posting (图文发表)
# Image-Text Posting (贴图发表, formerly 图文)
Post image-text messages with multiple images to WeChat Official Account.
> **Note**: WeChat has renamed "图文" to "贴图" in the Official Account menu (as of 2026).
## Usage
```bash
@@ -228,25 +228,25 @@ async function copyHtmlLinux(htmlFilePath: string): Promise<void> {
}
async function copyImageWindows(imagePath: string): Promise<void> {
const escaped = imagePath.replace(/'/g, "''");
const ps = [
'param([string]$Path)',
'Add-Type -AssemblyName System.Windows.Forms',
'Add-Type -AssemblyName System.Drawing',
'$img = [System.Drawing.Image]::FromFile($Path)',
`$img = [System.Drawing.Image]::FromFile('${escaped}')`,
'[System.Windows.Forms.Clipboard]::SetImage($img)',
'$img.Dispose()',
].join('; ');
await runCommand('powershell.exe', ['-NoProfile', '-Sta', '-Command', ps, '-Path', imagePath]);
await runCommand('powershell.exe', ['-NoProfile', '-Sta', '-Command', ps]);
}
async function copyHtmlWindows(htmlFilePath: string): Promise<void> {
const escaped = htmlFilePath.replace(/'/g, "''");
const ps = [
'param([string]$Path)',
'Add-Type -AssemblyName System.Windows.Forms',
'$html = Get-Content -Raw -LiteralPath $Path',
`$html = Get-Content -Raw -LiteralPath '${escaped}'`,
'[System.Windows.Forms.Clipboard]::SetText($html, [System.Windows.Forms.TextDataFormat]::Html)',
].join('; ');
await runCommand('powershell.exe', ['-NoProfile', '-Sta', '-Command', ps, '-Path', htmlFilePath]);
await runCommand('powershell.exe', ['-NoProfile', '-Sta', '-Command', ps]);
}
async function copyImageToClipboard(imagePathInput: string): Promise<void> {
@@ -120,22 +120,28 @@ export async function convertMarkdown(markdownPath: string, options?: { title?:
const { frontmatter, body } = parseFrontmatter(content);
let title = options?.title ?? frontmatter.title ?? '';
let bodyWithoutTitle = body;
if (!title) {
const lines = body.split('\n');
for (const line of lines) {
const trimmed = line.trim();
if (!trimmed) continue;
const headingMatch = trimmed.match(/^#{1,2}\s+(.+)$/);
if (headingMatch) title = headingMatch[1]!;
if (headingMatch) {
title = headingMatch[1]!;
bodyWithoutTitle = body.replace(/^#{1,2}\s+.+\r?\n?/, '');
}
break;
}
} else {
bodyWithoutTitle = body.replace(/^#{1,2}\s+.+\r?\n?/, '');
}
if (!title) title = path.basename(markdownPath, path.extname(markdownPath));
const author = frontmatter.author || '';
let summary = frontmatter.description || frontmatter.summary || '';
if (!summary) {
const lines = body.split('\n');
const lines = bodyWithoutTitle.split('\n');
for (const line of lines) {
const trimmed = line.trim();
if (!trimmed) continue;
@@ -161,7 +167,7 @@ export async function convertMarkdown(markdownPath: string, options?: { title?:
const images: Array<{ src: string; placeholder: string }> = [];
let imageCounter = 0;
const modifiedBody = body.replace(/!\[([^\]]*)\]\(([^)]+)\)/g, (match, alt, src) => {
const modifiedBody = bodyWithoutTitle.replace(/!\[([^\]]*)\]\(([^)]+)\)/g, (match, alt, src) => {
const placeholder = `WECHATIMGPH_${++imageCounter}`;
images.push({ src, placeholder });
return placeholder;
@@ -374,7 +374,7 @@ export function initRenderer(opts: IOpts = {}): RendererAPI {
listCounters[listCounters.length - 1] = idx + 1;
const prefix = ordered ? `${idx}. ` : "• ";
const prefix = ordered ? "" : "• ";
let content: string;
try {
@@ -517,6 +517,13 @@ async function main(): Promise<void> {
process.exit(1);
}
if (digest && digest.length > 120) {
const truncated = digest.slice(0, 117);
const lastPunct = Math.max(truncated.lastIndexOf("。"), truncated.lastIndexOf(""), truncated.lastIndexOf(""), truncated.lastIndexOf("、"));
digest = lastPunct > 80 ? truncated.slice(0, lastPunct + 1) : truncated + "...";
console.error(`[wechat-api] Digest truncated to ${digest.length} chars`);
}
console.error(`[wechat-api] Title: ${title}`);
if (author) console.error(`[wechat-api] Author: ${author}`);
if (digest) console.error(`[wechat-api] Digest: ${digest.slice(0, 50)}...`);
@@ -547,11 +554,14 @@ async function main(): Promise<void> {
htmlContent = processedHtml;
let thumbMediaId = "";
const coverPath = args.cover ||
const rawCoverPath = args.cover ||
frontmatter.featureImage ||
frontmatter.coverImage ||
frontmatter.cover ||
frontmatter.image;
const coverPath = rawCoverPath && !path.isAbsolute(rawCoverPath) && args.cover
? path.resolve(process.cwd(), rawCoverPath)
: rawCoverPath;
if (coverPath) {
console.error(`[wechat-api] Uploading cover: ${coverPath}`);
@@ -397,7 +397,7 @@ export async function postToWeChat(options: WeChatBrowserOptions): Promise<void>
await sleep(2000);
console.log('[wechat-browser] Looking for "图" menu...');
console.log('[wechat-browser] Looking for "图" menu...');
const menuResult = await cdp.send<{ result: { value: string } }>('Runtime.evaluate', {
expression: `
const menuItems = document.querySelectorAll('.new-creation__menu .new-creation__menu-item');
@@ -417,7 +417,7 @@ export async function postToWeChat(options: WeChatBrowserOptions): Promise<void>
const initialIds = new Set(initialTargets.targetInfos.map(t => t.targetId));
console.log(`[wechat-browser] Initial targets count: ${initialTargets.targetInfos.length}`);
console.log('[wechat-browser] Finding "图" menu position...');
console.log('[wechat-browser] Finding "图" menu position...');
const menuPos = await cdp.send<{ result: { value: string } }>('Runtime.evaluate', {
expression: `
(function() {
@@ -427,10 +427,10 @@ export async function postToWeChat(options: WeChatBrowserOptions): Promise<void>
const title = item.querySelector('.new-creation__menu-title');
const text = title?.textContent?.trim() || '';
console.log('Menu item text:', text);
if (text === '图文') {
if (text === '图文' || text === '贴图') {
item.scrollIntoView({ block: 'center' });
const rect = item.getBoundingClientRect();
console.log('Found 图rect:', JSON.stringify(rect));
console.log('Found 图,rect:', JSON.stringify(rect));
return JSON.stringify({ x: rect.x + rect.width / 2, y: rect.y + rect.height / 2, width: rect.width, height: rect.height });
}
}
@@ -442,9 +442,9 @@ export async function postToWeChat(options: WeChatBrowserOptions): Promise<void>
console.log(`[wechat-browser] Menu position: ${menuPos.result.value}`);
const pos = menuPos.result.value !== 'null' ? JSON.parse(menuPos.result.value) : null;
if (!pos) throw new Error('图 menu not found or not visible');
if (!pos) throw new Error('图 menu not found or not visible');
console.log('[wechat-browser] Clicking "图" menu with mouse events...');
console.log('[wechat-browser] Clicking "图" menu with mouse events...');
await cdp.send('Input.dispatchMouseEvent', {
type: 'mousePressed',
x: pos.x,
@@ -533,11 +533,22 @@ export async function postToWeChat(options: WeChatBrowserOptions): Promise<void>
console.log(`[wechat-browser] Images: ${absolutePaths.join(', ')}`);
const { root } = await cdp.send<{ root: { nodeId: number } }>('DOM.getDocument', {}, { sessionId });
const { nodeId } = await cdp.send<{ nodeId: number }>('DOM.querySelector', {
// Try primary selector, then fallback to any multi-file image input
let { nodeId } = await cdp.send<{ nodeId: number }>('DOM.querySelector', {
nodeId: root.nodeId,
selector: '.js_upload_btn_container input[type=file]',
}, { sessionId });
if (!nodeId) {
console.log('[wechat-browser] Primary file input not found, trying fallback selector...');
const fallback = await cdp.send<{ nodeId: number }>('DOM.querySelector', {
nodeId: root.nodeId,
selector: 'input[type=file][multiple][accept*="image"]',
}, { sessionId });
nodeId = fallback.nodeId;
}
if (!nodeId) throw new Error('File input not found');
await cdp.send('DOM.setFileInputFiles', {
@@ -545,7 +556,30 @@ export async function postToWeChat(options: WeChatBrowserOptions): Promise<void>
files: absolutePaths,
}, { sessionId });
await sleep(1000);
// Dispatch change event to trigger the upload
await cdp.send('Runtime.evaluate', {
expression: `
const fileInput = document.querySelector('.js_upload_btn_container input[type=file]') || document.querySelector('input[type=file][multiple][accept*="image"]');
if (fileInput) fileInput.dispatchEvent(new Event('change', { bubbles: true }));
`,
}, { sessionId });
// Wait for images to upload
console.log('[wechat-browser] Waiting for images to upload...');
const targetCount = absolutePaths.length;
for (let i = 0; i < 30; i++) {
await sleep(2000);
const uploadCheck = await cdp.send<{ result: { value: string } }>('Runtime.evaluate', {
expression: `
const thumbs = document.querySelectorAll('.weui-desktop-upload__thumb, .pic_item, [class*=upload_thumb]');
JSON.stringify({ uploaded: thumbs.length });
`,
returnByValue: true,
}, { sessionId });
const status = JSON.parse(uploadCheck.result.value);
console.log(`[wechat-browser] Upload progress: ${status.uploaded}/${targetCount}`);
if (status.uploaded >= targetCount) break;
}
console.log('[wechat-browser] Filling title...');
await cdp.send('Runtime.evaluate', {
@@ -561,73 +595,134 @@ export async function postToWeChat(options: WeChatBrowserOptions): Promise<void>
}, { sessionId });
await sleep(500);
console.log('[wechat-browser] Clicking on content editor...');
const editorPos = await cdp.send<{ result: { value: string } }>('Runtime.evaluate', {
console.log('[wechat-browser] Filling content...');
// Try ProseMirror editor first (new WeChat UI), then fallback to old editor
const contentResult = await cdp.send<{ result: { value: string } }>('Runtime.evaluate', {
expression: `
(function() {
const editor = document.querySelector('.js_pmEditorArea');
if (editor) {
const rect = editor.getBoundingClientRect();
return JSON.stringify({ x: rect.x + 50, y: rect.y + 20 });
const contentHtml = ${JSON.stringify('<p>' + content.split('\n').filter(l => l.trim()).join('</p><p>') + '</p>')};
// New UI: ProseMirror contenteditable
const pm = document.querySelector('.ProseMirror[contenteditable=true]');
if (pm) {
pm.innerHTML = contentHtml;
pm.dispatchEvent(new Event('input', { bubbles: true }));
return 'ProseMirror: content set, length=' + pm.textContent.length;
}
return 'null';
// Old UI: .js_pmEditorArea
const oldEditor = document.querySelector('.js_pmEditorArea');
if (oldEditor) {
return JSON.stringify({ type: 'old', x: oldEditor.getBoundingClientRect().x + 50, y: oldEditor.getBoundingClientRect().y + 20 });
}
return 'editor_not_found';
})()
`,
returnByValue: true,
}, { sessionId });
if (editorPos.result.value === 'null') throw new Error('Content editor not found');
const editorClickPos = JSON.parse(editorPos.result.value);
const contentStatus = contentResult.result.value;
console.log(`[wechat-browser] Content result: ${contentStatus}`);
await cdp.send('Input.dispatchMouseEvent', {
type: 'mousePressed',
x: editorClickPos.x,
y: editorClickPos.y,
button: 'left',
clickCount: 1,
}, { sessionId });
await sleep(50);
await cdp.send('Input.dispatchMouseEvent', {
type: 'mouseReleased',
x: editorClickPos.x,
y: editorClickPos.y,
button: 'left',
clickCount: 1,
}, { sessionId });
await sleep(300);
console.log('[wechat-browser] Typing content with keyboard simulation...');
const lines = content.split('\n');
for (let i = 0; i < lines.length; i++) {
const line = lines[i];
if (line.length > 0) {
await cdp.send('Input.insertText', { text: line }, { sessionId });
}
if (i < lines.length - 1) {
await cdp.send('Input.dispatchKeyEvent', {
type: 'keyDown',
key: 'Enter',
code: 'Enter',
windowsVirtualKeyCode: 13,
}, { sessionId });
await cdp.send('Input.dispatchKeyEvent', {
type: 'keyUp',
key: 'Enter',
code: 'Enter',
windowsVirtualKeyCode: 13,
}, { sessionId });
}
await sleep(50);
if (contentStatus === 'editor_not_found') {
throw new Error('Content editor not found');
}
// Fallback: old editor uses keyboard simulation
if (contentStatus.startsWith('{')) {
const editorClickPos = JSON.parse(contentStatus);
if (editorClickPos.type === 'old') {
console.log('[wechat-browser] Using old editor with keyboard simulation...');
await cdp.send('Input.dispatchMouseEvent', {
type: 'mousePressed',
x: editorClickPos.x,
y: editorClickPos.y,
button: 'left',
clickCount: 1,
}, { sessionId });
await sleep(50);
await cdp.send('Input.dispatchMouseEvent', {
type: 'mouseReleased',
x: editorClickPos.x,
y: editorClickPos.y,
button: 'left',
clickCount: 1,
}, { sessionId });
await sleep(300);
const lines = content.split('\n');
for (let i = 0; i < lines.length; i++) {
const line = lines[i];
if (line!.length > 0) {
await cdp.send('Input.insertText', { text: line }, { sessionId });
}
if (i < lines.length - 1) {
await cdp.send('Input.dispatchKeyEvent', {
type: 'keyDown',
key: 'Enter',
code: 'Enter',
windowsVirtualKeyCode: 13,
}, { sessionId });
await cdp.send('Input.dispatchKeyEvent', {
type: 'keyUp',
key: 'Enter',
code: 'Enter',
windowsVirtualKeyCode: 13,
}, { sessionId });
}
await sleep(50);
}
console.log('[wechat-browser] Content typed via keyboard.');
}
}
console.log('[wechat-browser] Content typed.');
await sleep(500);
if (submit) {
console.log('[wechat-browser] Saving as draft...');
await cdp.send('Runtime.evaluate', {
expression: `document.querySelector('#js_submit')?.click()`,
const submitResult = await cdp.send<{ result: { value: string } }>('Runtime.evaluate', {
expression: `
(function() {
// Try new UI: find button by text
const allBtns = document.querySelectorAll('button');
for (const btn of allBtns) {
const text = btn.textContent?.trim();
if (text === '保存为草稿') {
btn.click();
return 'clicked:保存为草稿';
}
}
// Fallback: old UI selector
const oldBtn = document.querySelector('#js_submit');
if (oldBtn) {
oldBtn.click();
return 'clicked:#js_submit';
}
// List available buttons for debugging
const btnTexts = [];
allBtns.forEach(b => {
const t = b.textContent?.trim();
if (t && t.length < 20) btnTexts.push(t);
});
return 'not_found:' + btnTexts.join(',');
})()
`,
returnByValue: true,
}, { sessionId });
console.log(`[wechat-browser] Submit result: ${submitResult.result.value}`);
await sleep(3000);
// Verify save success by checking for toast
const toastCheck = await cdp.send<{ result: { value: string } }>('Runtime.evaluate', {
expression: `
const toasts = document.querySelectorAll('.weui-desktop-toast, [class*=toast]');
const msgs = [];
toasts.forEach(t => { const text = t.textContent?.trim(); if (text) msgs.push(text); });
JSON.stringify(msgs);
`,
returnByValue: true,
}, { sessionId });
console.log(`[wechat-browser] Toast messages: ${toastCheck.result.value}`);
console.log('[wechat-browser] Draft saved!');
} else {
console.log('[wechat-browser] Article composed (preview mode). Add --submit to save as draft.');
@@ -641,7 +736,7 @@ export async function postToWeChat(options: WeChatBrowserOptions): Promise<void>
}
function printUsage(): never {
console.log(`Post image-text (图) to WeChat Official Account
console.log(`Post image-text (图) to WeChat Official Account
Usage:
npx -y bun wechat-browser.ts [options]
@@ -228,25 +228,25 @@ async function copyHtmlLinux(htmlFilePath: string): Promise<void> {
}
async function copyImageWindows(imagePath: string): Promise<void> {
const escaped = imagePath.replace(/'/g, "''");
const ps = [
'param([string]$Path)',
'Add-Type -AssemblyName System.Windows.Forms',
'Add-Type -AssemblyName System.Drawing',
'$img = [System.Drawing.Image]::FromFile($Path)',
`$img = [System.Drawing.Image]::FromFile('${escaped}')`,
'[System.Windows.Forms.Clipboard]::SetImage($img)',
'$img.Dispose()',
].join('; ');
await runCommand('powershell.exe', ['-NoProfile', '-Sta', '-Command', ps, '-Path', imagePath]);
await runCommand('powershell.exe', ['-NoProfile', '-Sta', '-Command', ps]);
}
async function copyHtmlWindows(htmlFilePath: string): Promise<void> {
const escaped = htmlFilePath.replace(/'/g, "''");
const ps = [
'param([string]$Path)',
'Add-Type -AssemblyName System.Windows.Forms',
'$html = Get-Content -Raw -LiteralPath $Path',
`$html = Get-Content -Raw -LiteralPath '${escaped}'`,
'[System.Windows.Forms.Clipboard]::SetText($html, [System.Windows.Forms.TextDataFormat]::Html)',
].join('; ');
await runCommand('powershell.exe', ['-NoProfile', '-Sta', '-Command', ps, '-Path', htmlFilePath]);
await runCommand('powershell.exe', ['-NoProfile', '-Sta', '-Command', ps]);
}
async function copyImageToClipboard(imagePathInput: string): Promise<void> {
+10 -3
View File
@@ -109,7 +109,7 @@ export async function publishArticle(options: ArticleOptions): Promise<void> {
console.log(`[x-article] Reusing existing Chrome instance on port ${port}`);
} else {
console.log(`[x-article] Launching Chrome...`);
spawn(chromePath, [
const chromeArgs = [
`--remote-debugging-port=${port}`,
`--user-data-dir=${profileDir}`,
'--no-first-run',
@@ -117,7 +117,13 @@ export async function publishArticle(options: ArticleOptions): Promise<void> {
'--disable-blink-features=AutomationControlled',
'--start-maximized',
X_ARTICLES_URL,
], { stdio: 'ignore' });
];
if (process.platform === 'darwin') {
const appPath = chromePath.replace(/\/Contents\/MacOS\/Google Chrome$/, '');
spawn('open', ['-na', appPath, '--args', ...chromeArgs], { stdio: 'ignore' });
} else {
spawn(chromePath, chromeArgs, { stdio: 'ignore' });
}
}
let cdp: CdpConnection | null = null;
@@ -732,7 +738,8 @@ async function main(): Promise<void> {
if (arg === '--title' && args[i + 1]) {
title = args[++i];
} else if (arg === '--cover' && args[i + 1]) {
coverImage = args[++i];
const raw = args[++i]!;
coverImage = path.isAbsolute(raw) ? raw : path.resolve(process.cwd(), raw);
} else if (arg === '--submit') {
submit = true;
} else if (arg === '--profile' && args[i + 1]) {
+2 -1
View File
@@ -4,6 +4,7 @@ import net from 'node:net';
import os from 'node:os';
import path from 'node:path';
import process from 'node:process';
import { fileURLToPath } from 'node:url';
export type PlatformCandidates = {
darwin?: string[];
@@ -216,7 +217,7 @@ export class CdpConnection {
}
export function getScriptDir(): string {
return path.dirname(new URL(import.meta.url).pathname);
return path.dirname(fileURLToPath(import.meta.url));
}
function runBunScript(scriptPath: string, args: string[]): boolean {
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