chore: release v1.36.0

feat(baoyu-image-gen): add gemini-3.1-flash-image-preview model and improve first-time setup
- Add gemini-3.1-flash-image-preview to supported Google multimodal models - Improve preferences loading with blocking first-time setup flow - Add first-time-setup.md reference for guided configuration - Update model references in SKILL.md and preferences schema
2026-07-12 13:59:47 +08:00 · 2026-02-27 10:13:27 -06:00 · 2026-02-27 10:12:52 -06:00 · 2026-02-26 14:33:55 -06:00 · 2026-02-26 17:16:15 +08:00 · 2026-02-24 22:15:29 -06:00
27 changed files with 1390 additions and 282 deletions
@@ -6,7 +6,7 @@
  },
  "metadata": {
    "description": "Skills shared by Baoyu for improving daily work efficiency",
-    "version": "1.33.0"
+    "version": "1.36.0"
  },
  "plugins": [
    {
@@ -2,6 +2,51 @@

 English | [中文](./CHANGELOG.zh.md)

+## 1.36.0 - 2026-02-27
+
+### Features
+- `baoyu-image-gen`: add `gemini-3.1-flash-image-preview` model support for Google multimodal image generation
+- `baoyu-image-gen`: improve first-time setup with blocking preferences flow and guided configuration
+
+### Fixes
+- `baoyu-image-gen`: use curl fallback for Google API when HTTP proxy is detected (by @liye71023326)
+
+## 1.35.0 - 2026-02-24
+
+### Features
+- `baoyu-image-gen`: add Replicate provider support with configurable models (by @justnode)
+- `baoyu-infographic`: add `dense-modules` layout and 3 new styles (`morandi-journal`, `pop-laboratory`, `retro-pop-grid`) for high-density infographics. Add keyword shortcuts for auto-selection. Prompt credit: [AJ](https://waytoagi.feishu.cn/wiki/YG0zwalijihRREkgmPzcWRInnUg)
+
+### Documentation
+- `baoyu-image-gen`: add Replicate model configuration documentation
+
+## 1.34.2 - 2026-02-25
+
+### Documentation
+- `baoyu-markdown-to-html`: clarify theme resolution order with local and cross-skill EXTEND.md fallbacks before prompting user.
+- `baoyu-post-to-wechat`: align markdown conversion theme handling with deterministic fallback (`CLI --theme` -> EXTEND.md `default_theme` -> `default`) and require explicit `--theme` parameter.
+
+## 1.34.1 - 2026-02-20
+
+### Fixes
+- `baoyu-post-to-wechat`: fix upload progress check crashing on second iteration (by @LyInfi)
+
+## 1.34.0 - 2026-02-17
+
+### Features
+- `baoyu-xhs-images`: add reference image chain for visual consistency across multi-image series (by @jeffrey94)
+
+### Refactor
+- `baoyu-article-illustrator`: enforce prompt file creation as blocking step before image generation, add structured prompt quality requirements (ZONES / LABELS / COLORS / STYLE / ASPECT) and verification checklist.
+
+## 1.33.1 - 2026-02-14
+
+### Refactor
+- `baoyu-post-to-x`: replace hand-rolled markdown parser with marked ecosystem for X Articles HTML conversion.
+
+### Documentation
+- `baoyu-post-to-x`: remove `--submit` flag from all scripts; clarify that scripts only fill content into browser for manual review and publish.
+
 ## 1.33.0 - 2026-02-13

 ### Features
@@ -2,6 +2,51 @@

 [English](./CHANGELOG.md) | 中文

+## 1.36.0 - 2026-02-27
+
+### 新功能
+- `baoyu-image-gen`：新增 `gemini-3.1-flash-image-preview` Google 多模态图片生成模型支持
+- `baoyu-image-gen`：优化首次使用引导流程，支持阻塞式偏好配置
+
+### 修复
+- `baoyu-image-gen`：检测到 HTTP 代理时自动回退使用 curl 调用 Google API (by @liye71023326)
+
+## 1.35.0 - 2026-02-24
+
+### 新功能
+- `baoyu-image-gen`：新增 Replicate 图片生成服务，支持自定义模型配置 (by @justnode)
+- `baoyu-infographic`：新增 `dense-modules` 高密度模块布局及 3 种新风格（`morandi-journal`、`pop-laboratory`、`retro-pop-grid`），支持关键词快捷选择。高密度信息大图提示词来自 [AJ](https://waytoagi.feishu.cn/wiki/YG0zwalijihRREkgmPzcWRInnUg)
+
+### 文档
+- `baoyu-image-gen`：补充 Replicate 模型配置说明文档
+
+## 1.34.2 - 2026-02-25
+
+### 文档
+- `baoyu-markdown-to-html`：明确主题解析优先级，先读取本技能与跨技能 EXTEND.md 的 `default_theme`，仅在未命中时询问用户。
+- `baoyu-post-to-wechat`：统一 markdown 转 HTML 的主题解析回退链（CLI `--theme` -> EXTEND.md `default_theme` -> `default`），并强制始终显式传入 `--theme` 参数。
+
+## 1.34.1 - 2026-02-20
+
+### 修复
+- `baoyu-post-to-wechat`：修复上传进度检查在第二次迭代时崩溃的问题 (by @LyInfi)
+
+## 1.34.0 - 2026-02-17
+
+### 新功能
+- `baoyu-xhs-images`：新增参考图片链功能，确保多图系列的视觉一致性 (by @jeffrey94)
+
+### 重构
+- `baoyu-article-illustrator`：将提示词文件创建设为生成图片前的阻断步骤，新增结构化提示词质量要求（ZONES / LABELS / COLORS / STYLE / ASPECT）和验证清单。
+
+## 1.33.1 - 2026-02-14
+
+### 重构
+- `baoyu-post-to-x`：将手写 markdown 解析器替换为 marked 生态系统，用于 X Articles HTML 转换。
+
+### 文档
+- `baoyu-post-to-x`：移除所有脚本的 `--submit` 参数；明确脚本仅将内容填充到浏览器，由用户手动审核和发布。
+
 ## 1.33.0 - 2026-02-13

 ### 新功能
@@ -100,11 +100,16 @@ Full template: [references/workflow.md](references/workflow.md#step-4-generate-o

 ### Step 5: Generate Images

-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
+⛔ **BLOCKING: Prompt files MUST be saved before ANY image generation.**
+
+1. For each illustration, create a prompt file per [references/prompt-construction.md](references/prompt-construction.md)
+2. Save to `prompts/NN-{type}-{slug}.md` with YAML frontmatter
+3. Prompts **MUST** use type-specific templates with structured sections (ZONES / LABELS / COLORS / STYLE / ASPECT)
+4. LABELS **MUST** include article-specific data: actual numbers, terms, metrics, quotes
+5. **DO NOT** pass ad-hoc inline prompts to `--prompt` without saving prompt files first
+6. Select generation skill, process references (`direct`/`style`/`palette`)
+7. Apply watermark if EXTEND.md enabled
+8. Generate from saved prompt files; retry once on failure

 Full procedures: [references/workflow.md](references/workflow.md#step-5-generate-images)

@@ -261,10 +261,41 @@ references:                    # Only if references provided

 ## Step 5: Generate Images

-### 5.1 Create Prompts
+### 5.1 Create Prompts ⛔ BLOCKING

-Follow [prompt-construction.md](prompt-construction.md). Save to `prompts/illustration-{slug}.md`.
- **Backup rule**: If prompt file exists, rename to `prompts/illustration-{slug}-backup-YYYYMMDD-HHMMSS.md`
+**Every illustration MUST have a saved prompt file before generation begins. DO NOT skip this step.**
+
+For each illustration in the outline:
+
+1. **Create prompt file**: `prompts/NN-{type}-{slug}.md`
+2. **Include YAML frontmatter**:
+   ```yaml
+   ---
+   illustration_id: 01
+   type: infographic
+   style: custom-flat-vector
+   ---
+   ```
+3. **Follow type-specific template** from [prompt-construction.md](prompt-construction.md)
+4. **Prompt quality requirements** (all REQUIRED):
+   - `Layout`: Describe overall composition (grid / radial / hierarchical / left-right / top-down)
+   - `ZONES`: Describe each visual area with specific content, not vague descriptions
+   - `LABELS`: Use **actual numbers, terms, metrics, quotes from the article** — NOT generic placeholders
+   - `COLORS`: Specify hex codes with semantic meaning (e.g., `Coral (#E07A5F) for emphasis`)
+   - `STYLE`: Describe line treatment, texture, mood, character rendering
+   - `ASPECT`: Specify ratio (e.g., `16:9`)
+5. **Apply defaults**: composition requirements, character rendering, text guidelines, watermark
+6. **Backup rule**: If prompt file exists, rename to `prompts/NN-{type}-{slug}-backup-YYYYMMDD-HHMMSS.md`
+
+**Verification** ⛔: Before proceeding to 5.2, confirm ALL prompt files exist:
+```
+Prompt Files:
+- prompts/01-infographic-overview.md ✓
+- prompts/02-infographic-distillation.md ✓
+...
+```
+
+**DO NOT** pass ad-hoc inline text to `--prompt` without first saving prompt files. The generation command should either use `--promptfiles prompts/NN-{type}-{slug}.md` or read the saved file content for `--prompt`.

 **CRITICAL - References in Frontmatter**:
 - Only add `references` field if files ACTUALLY EXIST in `references/` directory
@@ -1,11 +1,11 @@
 ---
 name: baoyu-image-gen
-description: AI image generation with OpenAI, Google and DashScope APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.
+description: AI image generation with OpenAI, Google, DashScope and Replicate APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.
 ---

 # Image Generation (AI SDK)

-Official API-based image generation. Supports OpenAI, Google and DashScope (阿里通义万象) providers.
+Official API-based image generation. Supports OpenAI, Google, DashScope (阿里通义万象) and Replicate providers.

 ## Script Directory

@@ -13,33 +13,28 @@ Official API-based image generation. Supports OpenAI, Google and DashScope (阿
 1. `SKILL_DIR` = this SKILL.md file's directory
 2. Script path = `${SKILL_DIR}/scripts/main.ts`

-## Preferences (EXTEND.md)
+## Step 0: Load Preferences ⛔ BLOCKING

-Use Bash to check EXTEND.md existence (priority order):
+**CRITICAL**: This step MUST complete BEFORE any image generation. Do NOT skip or defer.
+
+Check EXTEND.md existence (priority: project → user):

 ```bash
-# Check project-level first
 test -f .baoyu-skills/baoyu-image-gen/EXTEND.md && echo "project"
-
-# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
 test -f "$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md" && echo "user"
 ```

-┌──────────────────────────────────────────────────┬───────────────────┐
-│                       Path                       │     Location      │
-├──────────────────────────────────────────────────┼───────────────────┤
-│ .baoyu-skills/baoyu-image-gen/EXTEND.md          │ Project directory │
-├──────────────────────────────────────────────────┼───────────────────┤
-│ $HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md    │ User home         │
-└──────────────────────────────────────────────────┴───────────────────┘
+| Result | Action |
+|--------|--------|
+| Found | Load, parse, apply settings. If `default_model.[provider]` is null → ask model only (Flow 2) |
+| Not found | ⛔ Run first-time setup ([references/config/first-time-setup.md](references/config/first-time-setup.md)) → Save EXTEND.md → Then continue |

-┌───────────┬───────────────────────────────────────────────────────────────────────────┐
-│  Result   │                                  Action                                   │
-├───────────┼───────────────────────────────────────────────────────────────────────────┤
-│ Found     │ Read, parse, apply settings                                               │
-├───────────┼───────────────────────────────────────────────────────────────────────────┤
-│ Not found │ Use defaults                                                              │
-└───────────┴───────────────────────────────────────────────────────────────────────────┘
+**CRITICAL**: If not found, complete the full setup (provider + model + quality + save location) using AskUserQuestion BEFORE generating any images. Generation is BLOCKED until EXTEND.md is created.
+
+| Path | Location |
+|------|----------|
+| `.baoyu-skills/baoyu-image-gen/EXTEND.md` | Project directory |
+| `$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md` | User home |

 **EXTEND.md Supports**: Default provider | Default quality | Default aspect ratio | Default image size | Default models

@@ -71,6 +66,12 @@ npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provi

 # DashScope (阿里通义万象)
 npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "一只可爱的猫" --image out.png --provider dashscope
+
+# Replicate (google/nano-banana-pro)
+npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate
+
+# Replicate with specific model
+npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
 ```

 ## Options
@@ -80,13 +81,13 @@ npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "一只可爱的猫" --image ou
 | `--prompt <text>`, `-p` | Prompt text |
 | `--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 (`--ref` with OpenAI requires GPT Image model, e.g. `gpt-image-1.5`) |
+| `--provider google\|openai\|dashscope\|replicate` | Force provider (default: google) |
+| `--model <id>`, `-m` | Model ID (Google: `gemini-3-pro-image-preview`, `gemini-3.1-flash-image-preview`; OpenAI: `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. Supported by Google multimodal and OpenAI edits (GPT Image models). If provider omitted: Google first, then OpenAI |
+| `--ref <files...>` | Reference images. Supported by Google multimodal (`gemini-3-pro-image-preview`, `gemini-3-flash-preview`, `gemini-3.1-flash-image-preview`) and OpenAI edits (GPT Image models). If provider omitted: Google first, then OpenAI |
 | `--n <count>` | Number of images |
 | `--json` | JSON output |

@@ -97,19 +98,46 @@ npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "一只可爱的猫" --image ou
 | `OPENAI_API_KEY` | OpenAI API key |
 | `GOOGLE_API_KEY` | Google API key |
 | `DASHSCOPE_API_KEY` | DashScope API key (阿里云) |
+| `REPLICATE_API_TOKEN` | Replicate API token |
 | `OPENAI_IMAGE_MODEL` | OpenAI model override |
 | `GOOGLE_IMAGE_MODEL` | Google model override |
 | `DASHSCOPE_IMAGE_MODEL` | DashScope model override (default: z-image-turbo) |
+| `REPLICATE_IMAGE_MODEL` | Replicate model override (default: google/nano-banana-pro) |
 | `OPENAI_BASE_URL` | Custom OpenAI endpoint |
 | `GOOGLE_BASE_URL` | Custom Google endpoint |
 | `DASHSCOPE_BASE_URL` | Custom DashScope endpoint |
+| `REPLICATE_BASE_URL` | Custom Replicate endpoint |

 **Load Priority**: CLI args > EXTEND.md > env vars > `<cwd>/.baoyu-skills/.env` > `~/.baoyu-skills/.env`

+## Replicate Model Configuration
+
+When using `--provider replicate`, the model can be configured in the following ways (highest priority first):
+
+1. CLI flag: `--model <owner/name>`
+2. EXTEND.md: `default_model.replicate`
+3. Env var: `REPLICATE_IMAGE_MODEL`
+4. Built-in default: `google/nano-banana-pro`
+
+Supported model formats:
+
+- `owner/name` (recommended for official models), e.g. `google/nano-banana-pro`
+- `owner/name:version` (community models by version), e.g. `stability-ai/sdxl:<version>`
+
+Examples:
+
+```bash
+# Use Replicate default model
+npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate
+
+# Override model explicitly
+npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
+```
+
 ## Provider Selection

-1. `--ref` provided + no `--provider` → auto-select Google first, then OpenAI
-2. `--provider` specified → use it (if `--ref`, must be `google` or `openai`)
+1. `--ref` provided + no `--provider` → auto-select Google first, then OpenAI, then Replicate
+2. `--provider` specified → use it (if `--ref`, must be `google`, `openai`, or `replicate`)
 3. Only one API key available → use that provider
 4. Multiple available → default to Google

@@ -161,7 +189,7 @@ 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 unsupported provider/model → error with fix hint (switch to Google multimodal or OpenAI GPT Image edits)
+- Reference images with unsupported provider/model → error with fix hint (switch to Google multimodal: `gemini-3-pro-image-preview`, `gemini-3.1-flash-image-preview`; or OpenAI GPT Image edits)

 ## Extension Support

@@ -0,0 +1,197 @@
+---
+name: first-time-setup
+description: First-time setup and default model selection flow for baoyu-image-gen
+---
+
+# First-Time Setup
+
+## Overview
+
+Triggered when:
+1. No EXTEND.md found → full setup (provider + model + preferences)
+2. EXTEND.md found but `default_model.[provider]` is null → model selection only
+
+## Setup Flow
+
+```
+No EXTEND.md found          EXTEND.md found, model null
+        │                            │
+        ▼                            ▼
+┌─────────────────────┐    ┌──────────────────────┐
+│ AskUserQuestion     │    │ AskUserQuestion      │
+│ (full setup)        │    │ (model only)         │
+└─────────────────────┘    └──────────────────────┘
+        │                            │
+        ▼                            ▼
+┌─────────────────────┐    ┌──────────────────────┐
+│ Create EXTEND.md    │    │ Update EXTEND.md     │
+└─────────────────────┘    └──────────────────────┘
+        │                            │
+        ▼                            ▼
+    Continue                     Continue
+```
+
+## Flow 1: No EXTEND.md (Full Setup)
+
+**Language**: Use user's input language or saved language preference.
+
+Use AskUserQuestion with ALL questions in ONE call:
+
+### Question 1: Default Provider
+
+```yaml
+header: "Provider"
+question: "Default image generation provider?"
+options:
+  - label: "Google (Recommended)"
+    description: "Gemini multimodal - high quality, reference images, flexible sizes"
+  - label: "OpenAI"
+    description: "GPT Image - consistent quality, reliable output"
+  - label: "DashScope"
+    description: "Alibaba Cloud - z-image-turbo, good for Chinese content"
+  - label: "Replicate"
+    description: "Community models - nano-banana-pro, flexible model selection"
+```
+
+### Question 2: Default Google Model
+
+Only show if user selected Google or auto-detect (no explicit provider).
+
+```yaml
+header: "Google Model"
+question: "Default Google image generation model?"
+options:
+  - label: "gemini-3-pro-image-preview (Recommended)"
+    description: "Highest quality, best for production use"
+  - label: "gemini-3.1-flash-image-preview"
+    description: "Fast generation, good quality, lower cost"
+  - label: "gemini-3-flash-preview"
+    description: "Fast generation, balanced quality and speed"
+```
+
+### Question 3: Default Quality
+
+```yaml
+header: "Quality"
+question: "Default image quality?"
+options:
+  - label: "2k (Recommended)"
+    description: "2048px - covers, illustrations, infographics"
+  - label: "normal"
+    description: "1024px - quick previews, drafts"
+```
+
+### Question 4: 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-image-gen/EXTEND.md` | Current project |
+| User | `$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md` | All projects |
+
+### EXTEND.md Template
+
+```yaml
+---
+version: 1
+default_provider: [selected provider or null]
+default_quality: [selected quality]
+default_aspect_ratio: null
+default_image_size: null
+default_model:
+  google: [selected google model or null]
+  openai: null
+  dashscope: null
+  replicate: null
+---
+```
+
+## Flow 2: EXTEND.md Exists, Model Null
+
+When EXTEND.md exists but `default_model.[current_provider]` is null, ask ONLY the model question for the current provider.
+
+### Google Model Selection
+
+```yaml
+header: "Google Model"
+question: "Choose a default Google image generation model?"
+options:
+  - label: "gemini-3-pro-image-preview (Recommended)"
+    description: "Highest quality, best for production use"
+  - label: "gemini-3.1-flash-image-preview"
+    description: "Fast generation, good quality, lower cost"
+  - label: "gemini-3-flash-preview"
+    description: "Fast generation, balanced quality and speed"
+```
+
+### OpenAI Model Selection
+
+```yaml
+header: "OpenAI Model"
+question: "Choose a default OpenAI image generation model?"
+options:
+  - label: "gpt-image-1.5 (Recommended)"
+    description: "Latest GPT Image model, high quality"
+  - label: "gpt-image-1"
+    description: "Previous generation GPT Image model"
+```
+
+### DashScope Model Selection
+
+```yaml
+header: "DashScope Model"
+question: "Choose a default DashScope image generation model?"
+options:
+  - label: "z-image-turbo (Recommended)"
+    description: "Fast generation, good quality"
+  - label: "z-image-ultra"
+    description: "Higher quality, slower generation"
+```
+
+### Replicate Model Selection
+
+```yaml
+header: "Replicate Model"
+question: "Choose a default Replicate image generation model?"
+options:
+  - label: "google/nano-banana-pro (Recommended)"
+    description: "Google's fast image model on Replicate"
+  - label: "google/nano-banana"
+    description: "Google's base image model on Replicate"
+```
+
+### Update EXTEND.md
+
+After user selects a model:
+
+1. Read existing EXTEND.md
+2. If `default_model:` section exists → update the provider-specific key
+3. If `default_model:` section missing → add the full section:
+
+```yaml
+default_model:
+  google: [value or null]
+  openai: [value or null]
+  dashscope: [value or null]
+  replicate: [value or null]
+```
+
+Only set the selected provider's model; leave others as their current value or null.
+
+## After Setup
+
+1. Create directory if needed
+2. Write/update EXTEND.md with frontmatter
+3. Confirm: "Preferences saved to [path]"
+4. Continue with image generation
@@ -11,7 +11,7 @@ description: EXTEND.md YAML schema for baoyu-image-gen user preferences
 ---
 version: 1

-default_provider: null      # google|openai|dashscope|null (null = auto-detect)
+default_provider: null      # google|openai|dashscope|replicate|null (null = auto-detect)

 default_quality: null       # normal|2k|null (null = use default: 2k)

@@ -20,9 +20,10 @@ 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"
+  google: null              # e.g., "gemini-3-pro-image-preview", "gemini-3.1-flash-image-preview"
  openai: null              # e.g., "gpt-image-1.5"
  dashscope: null           # e.g., "z-image-turbo"
+  replicate: null           # e.g., "google/nano-banana-pro"
 ---
 ```

@@ -38,6 +39,7 @@ default_model:
 | `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 |
+| `default_model.replicate` | string\|null | null | Replicate default model |

 ## Examples

@@ -62,5 +64,6 @@ default_model:
  google: "gemini-3-pro-image-preview"
  openai: "gpt-image-1.5"
  dashscope: "z-image-turbo"
+  replicate: "google/nano-banana-pro"
 ---
 ```
@@ -14,7 +14,7 @@ Options:
  -p, --prompt <text>       Prompt text
  --promptfiles <files...>  Read prompt from files (concatenated)
  --image <path>            Output image path (required)
-  --provider google|openai|dashscope  Force provider (auto-detect by default)
+  --provider google|openai|dashscope|replicate  Force provider (auto-detect by default)
  -m, --model <id>          Model ID
  --ar <ratio>              Aspect ratio (e.g., 16:9, 1:1, 4:3)
  --size <WxH>              Size (e.g., 1024x1024)
@@ -30,12 +30,15 @@ Environment variables:
  GOOGLE_API_KEY            Google API key
  GEMINI_API_KEY            Gemini API key (alias for GOOGLE_API_KEY)
  DASHSCOPE_API_KEY         DashScope API key (阿里云通义万象)
+  REPLICATE_API_TOKEN       Replicate API token
  OPENAI_IMAGE_MODEL        Default OpenAI model (gpt-image-1.5)
  GOOGLE_IMAGE_MODEL        Default Google model (gemini-3-pro-image-preview)
  DASHSCOPE_IMAGE_MODEL     Default DashScope model (z-image-turbo)
+  REPLICATE_IMAGE_MODEL     Default Replicate model (google/nano-banana-pro)
  OPENAI_BASE_URL           Custom OpenAI endpoint
  GOOGLE_BASE_URL           Custom Google endpoint
  DASHSCOPE_BASE_URL        Custom DashScope endpoint
+  REPLICATE_BASE_URL        Custom Replicate endpoint

 Env file load order: CLI args > EXTEND.md > process.env > <cwd>/.baoyu-skills/.env > ~/.baoyu-skills/.env`);
 }
@@ -108,7 +111,7 @@ function parseArgs(argv: string[]): CliArgs {

    if (a === "--provider") {
      const v = argv[++i];
-      if (v !== "google" && v !== "openai" && v !== "dashscope") throw new Error(`Invalid provider: ${v}`);
+      if (v !== "google" && v !== "openai" && v !== "dashscope" && v !== "replicate") throw new Error(`Invalid provider: ${v}`);
      out.provider = v;
      continue;
    }
@@ -250,9 +253,9 @@ function parseSimpleYaml(yaml: string): Partial<ExtendConfig> {
      } 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 };
+        config.default_model = { google: null, openai: null, dashscope: null, replicate: null };
        currentKey = "default_model";
-      } else if (currentKey === "default_model" && (key === "google" || key === "openai" || key === "dashscope")) {
+      } else if (currentKey === "default_model" && (key === "google" || key === "openai" || key === "dashscope" || key === "replicate")) {
        const cleaned = value.replace(/['"]/g, "");
        config.default_model![key] = cleaned === "null" ? null : cleaned;
      }
@@ -323,9 +326,9 @@ function normalizeOutputImagePath(p: string): string {
 }

 function detectProvider(args: CliArgs): Provider {
-  if (args.referenceImages.length > 0 && args.provider && args.provider !== "google" && args.provider !== "openai") {
+  if (args.referenceImages.length > 0 && args.provider && args.provider !== "google" && args.provider !== "openai" && args.provider !== "replicate") {
    throw new Error(
-      "Reference images require a ref-capable provider. Use --provider google (Gemini multimodal) or --provider openai (GPT Image edits)."
+      "Reference images require a ref-capable provider. Use --provider google (Gemini multimodal), --provider openai (GPT Image edits), or --provider replicate."
    );
  }

@@ -334,22 +337,24 @@ function detectProvider(args: CliArgs): 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;
+  const hasReplicate = !!process.env.REPLICATE_API_TOKEN;

  if (args.referenceImages.length > 0) {
    if (hasGoogle) return "google";
    if (hasOpenai) return "openai";
+    if (hasReplicate) return "replicate";
    throw new Error(
-      "Reference images require Google or OpenAI. Set GOOGLE_API_KEY/GEMINI_API_KEY or OPENAI_API_KEY, or remove --ref."
+      "Reference images require Google, OpenAI or Replicate. Set GOOGLE_API_KEY/GEMINI_API_KEY, OPENAI_API_KEY, or REPLICATE_API_TOKEN, or remove --ref."
    );
  }

-  const available = [hasGoogle && "google", hasOpenai && "openai", hasDashscope && "dashscope"].filter(Boolean) as Provider[];
+  const available = [hasGoogle && "google", hasOpenai && "openai", hasDashscope && "dashscope", hasReplicate && "replicate"].filter(Boolean) as Provider[];

  if (available.length === 1) return available[0]!;
  if (available.length > 1) return available[0]!;

  throw new Error(
-    "No API key found. Set GOOGLE_API_KEY, GEMINI_API_KEY, OPENAI_API_KEY, or DASHSCOPE_API_KEY.\n" +
+    "No API key found. Set GOOGLE_API_KEY, GEMINI_API_KEY, OPENAI_API_KEY, DASHSCOPE_API_KEY, or REPLICATE_API_TOKEN.\n" +
      "Create ~/.baoyu-skills/.env or <cwd>/.baoyu-skills/.env with your keys."
  );
 }
@@ -389,6 +394,9 @@ async function loadProviderModule(provider: Provider): Promise<ProviderModule> {
  if (provider === "dashscope") {
    return (await import("./providers/dashscope")) as ProviderModule;
  }
+  if (provider === "replicate") {
+    return (await import("./providers/replicate")) as ProviderModule;
+  }
  return (await import("./providers/openai")) as ProviderModule;
 }

@@ -436,6 +444,7 @@ async function main(): Promise<void> {
    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;
+    if (provider === "replicate") model = extendConfig.default_model.replicate ?? null;
  }
  model = model || providerModule.getDefaultModel();

@@ -1,9 +1,17 @@
 import path from "node:path";
 import { readFile } from "node:fs/promises";
+import { execSync } from "node:child_process";
 import type { CliArgs } from "../types";

-const GOOGLE_MULTIMODAL_MODELS = ["gemini-3-pro-image-preview", "gemini-3-flash-preview"];
-const GOOGLE_IMAGEN_MODELS = ["imagen-3.0-generate-002", "imagen-3.0-generate-001"];
+const GOOGLE_MULTIMODAL_MODELS = [
+  "gemini-3-pro-image-preview",
+  "gemini-3-flash-preview",
+  "gemini-3.1-flash-image-preview",
+];
+const GOOGLE_IMAGEN_MODELS = [
+  "imagen-3.0-generate-002",
+  "imagen-3.0-generate-001",
+];

 export function getDefaultModel(): string {
  return process.env.GOOGLE_IMAGE_MODEL || "gemini-3-pro-image-preview";
@@ -33,7 +41,8 @@ function getGoogleImageSize(args: CliArgs): "1K" | "2K" | "4K" {
 }

 function getGoogleBaseUrl(): string {
-  const base = process.env.GOOGLE_BASE_URL || "https://generativelanguage.googleapis.com";
+  const base =
+    process.env.GOOGLE_BASE_URL || "https://generativelanguage.googleapis.com";
  return base.replace(/\/+$/g, "");
 }

@@ -49,11 +58,46 @@ function toModelPath(model: string): string {
  return `models/${modelId}`;
 }

-async function postGoogleJson<T>(pathname: string, body: unknown): Promise<T> {
-  const apiKey = getGoogleApiKey();
-  if (!apiKey) throw new Error("GOOGLE_API_KEY or GEMINI_API_KEY is required");
+function getHttpProxy(): string | null {
+  return (
+    process.env.https_proxy ||
+    process.env.HTTPS_PROXY ||
+    process.env.http_proxy ||
+    process.env.HTTP_PROXY ||
+    process.env.ALL_PROXY ||
+    null
+  );
+}

-  const res = await fetch(buildGoogleUrl(pathname), {
+async function postGoogleJsonViaCurl<T>(
+  url: string,
+  apiKey: string,
+  body: unknown,
+): Promise<T> {
+  const proxy = getHttpProxy();
+  const bodyStr = JSON.stringify(body);
+  const proxyArgs = proxy ? `-x "${proxy}"` : "";
+
+  const result = execSync(
+    `curl -s --connect-timeout 30 --max-time 300 ${proxyArgs} "${url}" -H "Content-Type: application/json" -H "x-goog-api-key: ${apiKey}" -d @-`,
+    { input: bodyStr, maxBuffer: 100 * 1024 * 1024, timeout: 310000 },
+  );
+
+  const parsed = JSON.parse(result.toString()) as any;
+  if (parsed.error) {
+    throw new Error(
+      `Google API error (${parsed.error.code}): ${parsed.error.message}`,
+    );
+  }
+  return parsed as T;
+}
+
+async function postGoogleJsonViaFetch<T>(
+  url: string,
+  apiKey: string,
+  body: unknown,
+): Promise<T> {
+  const res = await fetch(url, {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
@@ -70,7 +114,30 @@ async function postGoogleJson<T>(pathname: string, body: unknown): Promise<T> {
  return (await res.json()) as T;
 }

-function buildPromptWithAspect(prompt: string, ar: string | null, quality: CliArgs["quality"]): string {
+async function postGoogleJson<T>(pathname: string, body: unknown): Promise<T> {
+  const apiKey = getGoogleApiKey();
+  if (!apiKey) throw new Error("GOOGLE_API_KEY or GEMINI_API_KEY is required");
+
+  const url = buildGoogleUrl(pathname);
+  const proxy = getHttpProxy();
+
+  // When an HTTP proxy is detected, use curl instead of fetch.
+  // Bun's fetch has a known issue where long-lived connections through
+  // HTTP proxies get their sockets closed unexpectedly, causing image
+  // generation requests to fail with "socket connection was closed
+  // unexpectedly". Using curl as the HTTP client works around this.
+  if (proxy) {
+    return postGoogleJsonViaCurl<T>(url, apiKey, body);
+  }
+
+  return postGoogleJsonViaFetch<T>(url, apiKey, body);
+}
+
+function buildPromptWithAspect(
+  prompt: string,
+  ar: string | null,
+  quality: CliArgs["quality"],
+): string {
  let result = prompt;
  if (ar) {
    result += ` Aspect ratio: ${ar}.`;
@@ -86,7 +153,9 @@ function addAspectRatioToPrompt(prompt: string, ar: string | null): string {
  return `${prompt} Aspect ratio: ${ar}.`;
 }

-async function readImageAsBase64(p: string): Promise<{ data: string; mimeType: string }> {
+async function readImageAsBase64(
+  p: string,
+): Promise<{ data: string; mimeType: string }> {
  const buf = await readFile(p);
  const ext = path.extname(p).toLowerCase();
  let mimeType = "image/png";
@@ -97,7 +166,9 @@ async function readImageAsBase64(p: string): Promise<{ data: string; mimeType: s
 }

 function extractInlineImageData(response: {
-  candidates?: Array<{ content?: { parts?: Array<{ inlineData?: { data?: string } }> } }>;
+  candidates?: Array<{
+    content?: { parts?: Array<{ inlineData?: { data?: string } }> };
+  }>;
 }): string | null {
  for (const candidate of response.candidates || []) {
    for (const part of candidate.content?.parts || []) {
@@ -112,16 +183,21 @@ function extractPredictedImageData(response: {
  predictions?: Array<any>;
  generatedImages?: Array<any>;
 }): string | null {
-  const candidates = [...(response.predictions || []), ...(response.generatedImages || [])];
+  const candidates = [
+    ...(response.predictions || []),
+    ...(response.generatedImages || []),
+  ];
  for (const candidate of candidates) {
    if (!candidate || typeof candidate !== "object") continue;
    if (typeof candidate.imageBytes === "string") return candidate.imageBytes;
-    if (typeof candidate.bytesBase64Encoded === "string") return candidate.bytesBase64Encoded;
+    if (typeof candidate.bytesBase64Encoded === "string")
+      return candidate.bytesBase64Encoded;
    if (typeof candidate.data === "string") return candidate.data;
    const image = candidate.image;
    if (image && typeof image === "object") {
      if (typeof image.imageBytes === "string") return image.imageBytes;
-      if (typeof image.bytesBase64Encoded === "string") return image.bytesBase64Encoded;
+      if (typeof image.bytesBase64Encoded === "string")
+        return image.bytesBase64Encoded;
      if (typeof image.data === "string") return image.data;
    }
  }
@@ -131,10 +207,13 @@ function extractPredictedImageData(response: {
 async function generateWithGemini(
  prompt: string,
  model: string,
-  args: CliArgs
+  args: CliArgs,
 ): Promise<Uint8Array> {
  const promptWithAspect = addAspectRatioToPrompt(prompt, args.aspectRatio);
-  const parts: Array<{ text?: string; inlineData?: { data: string; mimeType: string } }> = [];
+  const parts: Array<{
+    text?: string;
+    inlineData?: { data: string; mimeType: string };
+  }> = [];
  for (const refPath of args.referenceImages) {
    const { data, mimeType } = await readImageAsBase64(refPath);
    parts.push({ inlineData: { data, mimeType } });
@@ -147,7 +226,9 @@ async function generateWithGemini(

  console.log("Generating image with Gemini...", imageConfig);
  const response = await postGoogleJson<{
-    candidates?: Array<{ content?: { parts?: Array<{ inlineData?: { data?: string } }> } }>;
+    candidates?: Array<{
+      content?: { parts?: Array<{ inlineData?: { data?: string } }> };
+    }>;
  }>(`${toModelPath(model)}:generateContent`, {
    contents: [
      {
@@ -171,12 +252,18 @@ async function generateWithGemini(
 async function generateWithImagen(
  prompt: string,
  model: string,
-  args: CliArgs
+  args: CliArgs,
 ): Promise<Uint8Array> {
-  const fullPrompt = buildPromptWithAspect(prompt, args.aspectRatio, args.quality);
+  const fullPrompt = buildPromptWithAspect(
+    prompt,
+    args.aspectRatio,
+    args.quality,
+  );
  const imageSize = getGoogleImageSize(args);
  if (imageSize === "4K") {
-    console.error("Warning: Imagen models do not support 4K imageSize, using 2K instead.");
+    console.error(
+      "Warning: Imagen models do not support 4K imageSize, using 2K instead.",
+    );
  }

  const parameters: Record<string, unknown> = {
@@ -212,12 +299,12 @@ async function generateWithImagen(
 export async function generateImage(
  prompt: string,
  model: string,
-  args: CliArgs
+  args: CliArgs,
 ): Promise<Uint8Array> {
  if (isGoogleImagen(model)) {
    if (args.referenceImages.length > 0) {
      throw new Error(
-        "Reference images are not supported with Imagen models. Use gemini-3-pro-image-preview or gemini-3-flash-preview."
+        "Reference images are not supported with Imagen models. Use gemini-3-pro-image-preview, gemini-3-flash-preview, or gemini-3.1-flash-image-preview.",
      );
    }
    return generateWithImagen(prompt, model, args);
@@ -225,7 +312,7 @@ export async function generateImage(

  if (!isGoogleMultimodal(model) && args.referenceImages.length > 0) {
    throw new Error(
-      "Reference images are only supported with Gemini multimodal models. Use gemini-3-pro-image-preview or gemini-3-flash-preview."
+      "Reference images are only supported with Gemini multimodal models. Use gemini-3-pro-image-preview, gemini-3-flash-preview, or gemini-3.1-flash-image-preview.",
    );
  }

@@ -0,0 +1,203 @@
+import path from "node:path";
+import { readFile } from "node:fs/promises";
+import type { CliArgs } from "../types";
+
+const DEFAULT_MODEL = "google/nano-banana-pro";
+const SYNC_WAIT_SECONDS = 60;
+const POLL_INTERVAL_MS = 2000;
+const MAX_POLL_MS = 300_000;
+
+export function getDefaultModel(): string {
+  return process.env.REPLICATE_IMAGE_MODEL || DEFAULT_MODEL;
+}
+
+function getApiToken(): string | null {
+  return process.env.REPLICATE_API_TOKEN || null;
+}
+
+function getBaseUrl(): string {
+  const base = process.env.REPLICATE_BASE_URL || "https://api.replicate.com";
+  return base.replace(/\/+$/g, "");
+}
+
+function parseModelId(model: string): { owner: string; name: string; version: string | null } {
+  const [ownerName, version] = model.split(":");
+  const parts = ownerName!.split("/");
+  if (parts.length !== 2 || !parts[0] || !parts[1]) {
+    throw new Error(
+      `Invalid Replicate model format: "${model}". Expected "owner/name" or "owner/name:version".`
+    );
+  }
+  return { owner: parts[0], name: parts[1], version: version || null };
+}
+
+function buildInput(prompt: string, args: CliArgs, referenceImages: string[]): Record<string, unknown> {
+  const input: Record<string, unknown> = { prompt };
+
+  if (args.aspectRatio) {
+    input.aspect_ratio = args.aspectRatio;
+  }
+
+  if (args.n > 1) {
+    input.number_of_images = args.n;
+  }
+
+  input.output_format = "png";
+
+  if (referenceImages.length > 0) {
+    if (referenceImages.length === 1) {
+      input.image = referenceImages[0];
+    } else {
+      for (let i = 0; i < referenceImages.length; i++) {
+        input[`image${i > 0 ? i + 1 : ""}`] = referenceImages[i];
+      }
+    }
+  }
+
+  return input;
+}
+
+async function readImageAsDataUrl(p: string): Promise<string> {
+  const buf = await readFile(p);
+  const ext = path.extname(p).toLowerCase();
+  let mimeType = "image/png";
+  if (ext === ".jpg" || ext === ".jpeg") mimeType = "image/jpeg";
+  else if (ext === ".gif") mimeType = "image/gif";
+  else if (ext === ".webp") mimeType = "image/webp";
+  return `data:${mimeType};base64,${buf.toString("base64")}`;
+}
+
+type PredictionResponse = {
+  id: string;
+  status: string;
+  output: unknown;
+  error: string | null;
+  urls?: { get?: string };
+};
+
+async function createPrediction(
+  apiToken: string,
+  model: { owner: string; name: string; version: string | null },
+  input: Record<string, unknown>,
+  sync: boolean
+): Promise<PredictionResponse> {
+  const baseUrl = getBaseUrl();
+
+  let url: string;
+  const body: Record<string, unknown> = { input };
+
+  if (model.version) {
+    url = `${baseUrl}/v1/predictions`;
+    body.version = model.version;
+  } else {
+    url = `${baseUrl}/v1/models/${model.owner}/${model.name}/predictions`;
+  }
+
+  const headers: Record<string, string> = {
+    Authorization: `Bearer ${apiToken}`,
+    "Content-Type": "application/json",
+  };
+
+  if (sync) {
+    headers["Prefer"] = `wait=${SYNC_WAIT_SECONDS}`;
+  }
+
+  const res = await fetch(url, {
+    method: "POST",
+    headers,
+    body: JSON.stringify(body),
+  });
+
+  if (!res.ok) {
+    const err = await res.text();
+    throw new Error(`Replicate API error (${res.status}): ${err}`);
+  }
+
+  return (await res.json()) as PredictionResponse;
+}
+
+async function pollPrediction(apiToken: string, getUrl: string): Promise<PredictionResponse> {
+  const start = Date.now();
+
+  while (Date.now() - start < MAX_POLL_MS) {
+    const res = await fetch(getUrl, {
+      headers: { Authorization: `Bearer ${apiToken}` },
+    });
+
+    if (!res.ok) {
+      const err = await res.text();
+      throw new Error(`Replicate poll error (${res.status}): ${err}`);
+    }
+
+    const prediction = (await res.json()) as PredictionResponse;
+
+    if (prediction.status === "succeeded") return prediction;
+    if (prediction.status === "failed" || prediction.status === "canceled") {
+      throw new Error(`Replicate prediction ${prediction.status}: ${prediction.error || "unknown error"}`);
+    }
+
+    await new Promise((r) => setTimeout(r, POLL_INTERVAL_MS));
+  }
+
+  throw new Error(`Replicate prediction timed out after ${MAX_POLL_MS / 1000}s`);
+}
+
+function extractOutputUrl(prediction: PredictionResponse): string {
+  const output = prediction.output;
+
+  if (typeof output === "string") return output;
+
+  if (Array.isArray(output)) {
+    const first = output[0];
+    if (typeof first === "string") return first;
+  }
+
+  if (output && typeof output === "object" && "url" in output) {
+    const url = (output as Record<string, unknown>).url;
+    if (typeof url === "string") return url;
+  }
+
+  throw new Error(`Unexpected Replicate output format: ${JSON.stringify(output)}`);
+}
+
+async function downloadImage(url: string): Promise<Uint8Array> {
+  const res = await fetch(url);
+  if (!res.ok) throw new Error(`Failed to download image from Replicate: ${res.status}`);
+  const buf = await res.arrayBuffer();
+  return new Uint8Array(buf);
+}
+
+export async function generateImage(
+  prompt: string,
+  model: string,
+  args: CliArgs
+): Promise<Uint8Array> {
+  const apiToken = getApiToken();
+  if (!apiToken) throw new Error("REPLICATE_API_TOKEN is required. Get one at https://replicate.com/account/api-tokens");
+
+  const parsedModel = parseModelId(model);
+
+  const refDataUrls: string[] = [];
+  for (const refPath of args.referenceImages) {
+    refDataUrls.push(await readImageAsDataUrl(refPath));
+  }
+
+  const input = buildInput(prompt, args, refDataUrls);
+
+  console.log(`Generating image with Replicate (${model})...`);
+
+  let prediction = await createPrediction(apiToken, parsedModel, input, true);
+
+  if (prediction.status !== "succeeded") {
+    if (!prediction.urls?.get) {
+      throw new Error("Replicate prediction did not return a poll URL");
+    }
+    console.log("Waiting for prediction to complete...");
+    prediction = await pollPrediction(apiToken, prediction.urls.get);
+  }
+
+  console.log("Generation completed.");
+
+  const outputUrl = extractOutputUrl(prediction);
+  return downloadImage(outputUrl);
+}
@@ -1,4 +1,4 @@
-export type Provider = "google" | "openai" | "dashscope";
+export type Provider = "google" | "openai" | "dashscope" | "replicate";
 export type Quality = "normal" | "2k";

 export type CliArgs = {
@@ -27,5 +27,6 @@ export type ExtendConfig = {
    google: string | null;
    openai: string | null;
    dashscope: string | null;
+    replicate: string | null;
  };
 };
@@ -1,6 +1,6 @@
 ---
 name: baoyu-infographic
-description: Generates professional infographics with 20 layout types and 17 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", "visual summary", or "可视化".
+description: Generates professional infographics with 21 layout types and 20 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", "visual summary", "可视化", or "高密度信息大图".
 ---

 # Infographic Generator
@@ -20,8 +20,8 @@ Two dimensions: **layout** (information structure) × **style** (visual aestheti

 | Option | Values |
 |--------|--------|
-| `--layout` | 20 options (see Layout Gallery), default: bento-grid |
-| `--style` | 17 options (see Style Gallery), default: craft-handmade |
+| `--layout` | 21 options (see Layout Gallery), default: bento-grid |
+| `--style` | 20 options (see Style Gallery), default: craft-handmade |
 | `--aspect` | landscape (16:9), portrait (9:16), square (1:1) |
 | `--lang` | en, zh, ja, etc. |

@@ -49,6 +49,7 @@ Two dimensions: **layout** (information structure) × **style** (visual aestheti
 | `venn-diagram` | Overlapping concepts |
 | `winding-roadmap` | Journey, milestones |
 | `circular-flow` | Cycles, recurring processes |
+| `dense-modules` | High-density modules, data-rich guides |

 Full definitions: `references/layouts/<layout>.md`

@@ -73,6 +74,9 @@ Full definitions: `references/layouts/<layout>.md`
 | `ikea-manual` | Minimal line art |
 | `knolling` | Organized flat-lay |
 | `lego-brick` | Toy brick construction |
+| `pop-laboratory` | Blueprint grid, coordinate markers, lab precision |
+| `morandi-journal` | Hand-drawn doodle, warm Morandi tones |
+| `retro-pop-grid` | 1970s retro pop art, Swiss grid, thick outlines |

 Full definitions: `references/styles/<style>.md`

@@ -92,9 +96,23 @@ Full definitions: `references/styles/<style>.md`
 | Educational | `bento-grid` + `chalkboard` |
 | Journey | `winding-roadmap` + `storybook-watercolor` |
 | Categories | `periodic-table` + `bold-graphic` |
+| Product Guide | `dense-modules` + `morandi-journal` |
+| Technical Guide | `dense-modules` + `pop-laboratory` |
+| Trendy Guide | `dense-modules` + `retro-pop-grid` |

 Default: `bento-grid` + `craft-handmade`

+## Keyword Shortcuts
+
+When user input contains these keywords, **auto-select** the associated layout and offer associated styles as top recommendations in Step 3. Skip content-based layout inference for matched keywords.
+
+If a shortcut has **Prompt Notes**, append them to the generated prompt (Step 5) as additional style instructions.
+
+| User Keyword | Layout | Recommended Styles | Default Aspect | Prompt Notes |
+|--------------|--------|--------------------|----------------|--------------|
+| 高密度信息大图 / high-density-info | `dense-modules` | `morandi-journal`, `pop-laboratory`, `retro-pop-grid` | portrait | — |
+| 信息图 / infographic | `bento-grid` | `craft-handmade` | landscape | Minimalist: clean canvas, ample whitespace, no complex background textures. Simple cartoon elements and icons only. |
+
 ## Output Structure

 ```
@@ -176,7 +194,9 @@ See `references/structured-content-template.md` for detailed format.

 ### Step 3: Recommend Combinations

-Recommend 3-5 layout×style combinations based on:
+**3.1 Check Keyword Shortcuts first**: If user input matches a keyword from the **Keyword Shortcuts** table, auto-select the associated layout and prioritize associated styles as top recommendations. Skip content-based layout inference.
+
+**3.2 Otherwise**, recommend 3-5 layout×style combinations based on:
 - Data structure → matching layout
 - Content tone → matching style
 - Audience expectations
@@ -222,8 +242,8 @@ Report: topic, layout, style, aspect, language, output path, files created.
 - `references/analysis-framework.md` - Analysis methodology
 - `references/structured-content-template.md` - Content format
 - `references/base-prompt.md` - Prompt template
- `references/layouts/<layout>.md` - 20 layout definitions
- `references/styles/<style>.md` - 17 style definitions
+- `references/layouts/<layout>.md` - 21 layout definitions
+- `references/styles/<style>.md` - 20 style definitions

 ## Extension Support

@@ -38,7 +38,8 @@ Approach content analysis as a **world-class instructional designer**:
 | **Cycle/Loop** | Recurring processes, feedback loops | circular-flow | craft-handmade, technical-schematic |
 | **System/Structure** | Components, architecture, anatomy | structural-breakdown, bento-grid | technical-schematic, ikea-manual |
 | **Journey/Narrative** | Stories, user flows, milestones | winding-roadmap, story-mountain | storybook-watercolor, comic-strip |
-| **Overview/Summary** | Multiple topics, feature highlights | bento-grid, periodic-table | chalkboard, bold-graphic |
+| **Overview/Summary** | Multiple topics, feature highlights | bento-grid, periodic-table, dense-modules | chalkboard, bold-graphic |
+| **Product/Buying Guide** | Multi-dimension comparisons, specs, pitfalls | dense-modules | morandi-journal, pop-laboratory, retro-pop-grid |

 ### 2. Learning Objective Identification

@@ -0,0 +1,72 @@
+# dense-modules
+
+High-density modular layout with 6-7 typed information modules packed with concrete data.
+
+## Structure
+
+- 6-7 distinct modules per image, each serving a specific information function
+- Every module contains concrete data: brand names, numbers, percentages, parameters
+- Minimal whitespace—compact spacing prioritized over breathing room
+- Smaller text acceptable to maximize information density
+- Each module identified by coordinate label or section marker (e.g., MOD-1, SEC-A)
+
+## Module Archetypes
+
+| Module | Purpose | Content Requirements |
+|--------|---------|---------------------|
+| **Brand/Selection Array** | Grid of options with recommendations | 4-8 items with icons, names, brief descriptions; highlight "best choice" |
+| **Specification Scale** | Quality/measurement gauge | 3-5 levels with precise numerical increments, quality indicators (emoji faces, checkmarks) |
+| **Deep Dive/Detail** | Technical breakdown of key item | Zoom-in callouts, internal components, cross-section or exploded view |
+| **Scenario Comparison** | Side-by-side use cases | 3-6 scenarios with specific recommendations and data per scenario |
+| **Identification Tips** | How-to checklist | 3-5 inspection methods: look/test/check/ask format |
+| **Warning/Pitfall Zone** | Critical mistakes to avoid | 3-5 pitfalls with consequences, 1-2 correct approaches; high visual contrast |
+| **Quick Reference** | Compact summary | Dense table, one-line summaries, decision flowchart, or key takeaways |
+
+## Variants
+
+| Variant | Focus | Visual Emphasis |
+|---------|-------|-----------------|
+| **Coordinate-labeled** | Precision and systematicity | Each module has alphanumeric coordinate (A-01, B-05, C-12), ruler/axis markers |
+| **Grid-cell** | Order and structure | Modules in strict rectangular cells divided by thick lines, Swiss grid feel |
+| **Free-flowing** | Organic density | Magazine-style layout with dotted frames, varying module sizes, connected by arrows |
+
+## Best For
+
+- Product selection guides and buying guides
+- Multi-dimensional comparison content
+- Data-rich educational materials
+- "Avoid pitfalls" / "complete guide" formats
+- Content targeting platforms like Xiaohongshu with high-density visual requirements
+
+## Visual Elements
+
+- Module boundary markers (thick lines, dotted frames, or coordinate grids)
+- Quality indicators per module (emoji faces, checkmarks, crosses, crowns)
+- Data callout boxes with highlighted numbers
+- Comparison arrows and progression indicators
+- Warning/alert visual markers for pitfall modules
+- Metadata in corners (page numbers, timestamps, small barcodes)
+
+## Text Placement
+
+- Main title at top, prominent and impactful
+- Subtitle with module count ("X大维度全面解析...")
+- Module headers inside colored badges or labeled frames
+- Body text compact, multiple columns within modules
+- Numbers highlighted with accent colors, slightly larger than body text
+
+## Information Density Rules
+
+- Every corner should contain useful information or metadata
+- No decorative-only empty space
+- Text size may be reduced to fit more content—information over font size
+- Each module must have specific data points, not generic descriptions
+- Balance between density and readability: dense but organized
+
+## Recommended Pairings
+
+- `pop-laboratory`: Technical precision with coordinate markers and blueprint grid
+- `morandi-journal`: Hand-drawn warmth with doodle illustrations and organic frames
+- `retro-pop-grid`: 1970s pop art with strict grid cells and bold contrast
+- `corporate-memphis`: Clean business feel for product comparisons
+- `technical-schematic`: Engineering precision for technical product guides
@@ -0,0 +1,60 @@
+# morandi-journal
+
+Hand-drawn doodle illustration with warm Morandi color tones and cozy bullet journal aesthetic.
+
+## Color Palette
+
+- Background: Warm cream/beige with subtle paper texture (#F5F0E6)
+- Primary: Muted teal/sage green (#7BA3A8) for headers and frames
+- Secondary: Warm terracotta/orange (#D4956A) for highlights and numbers
+- Line art: Dark charcoal brown (#4A4540)
+- Soft highlights: Pale yellow (#F5E6C8)
+
+## Visual Elements
+
+- Hand-drawn doodle illustrations with organic, slightly imperfect ink lines
+- Washi tape strip decorations (diagonal stripes pattern, beige and brown)
+- Rounded card containers for brand/option items
+- Hand-drawn rulers, scales, and progress bars with emoji quality indicators
+- Smiley/frowny faces as quality markers (😊✓ 😐 ☹️✗)
+- Dotted line frames around sections
+- Connecting arrows and dotted lines between modules
+- Corner decorations: tiny houses, stars, sparkles, clouds
+- Wavy line dividers between sections
+- Callout bubbles for tips
+- Magnifying glass icons for identification tips
+- Thumbs up/down icons (hand-drawn style)
+
+## Variants
+
+| Variant | Focus | Visual Emphasis |
+|---------|-------|-----------------|
+| **Cozy journal** | Maximum warmth | More washi tape, stickers, decorative doodles |
+| **Clean sketch** | Readability | Cleaner lines, less decoration, more structured |
+
+## Typography
+
+- Main title: Bold hand-lettered calligraphy style with decorative flourishes
+- Module headers: Clean handwritten text in white on dark teal rounded badge (#6B9080)
+- Body text: Neat handwritten print style, easy to read
+- Numbers: Highlighted in terracotta (#D4956A), slightly larger than body
+
+## Style Enforcement
+
+- All imagery must maintain hand-drawn/doodle aesthetic—no digital precision
+- Organic, slightly imperfect shapes throughout
+- Sketch-like quality with visible line weight variations
+- Warm and cozy journal feel, not clinical or corporate
+
+## Avoid
+
+- Flat vector icons or emoji
+- Clean geometric shapes
+- Stock illustration style
+- Strict grid layout
+- Pure white background
+- Digital/corporate look
+
+## Best For
+
+Product selection guides, lifestyle content, educational overviews, consumer-facing comparison content, Xiaohongshu-style posts
@@ -0,0 +1,48 @@
+# pop-laboratory
+
+Lab manual precision meets pop art color impact—coordinate systems, technical diagrams, and fluorescent accents on blueprint grid.
+
+## Color Palette
+
+- Background: Professional grayish-white with faint blueprint grid texture (#F2F2F2)
+- Primary: Muted teal/sage green (#B8D8BE) for major functional blocks and data zones
+- High-alert accent: Vibrant fluorescent pink (#E91E63) strictly for warnings, critical data, or "winner" highlights
+- Marker highlights: Vivid lemon yellow (#FFF200) as translucent highlighter effect for keywords
+- Line art: Ultra-fine charcoal brown (#2D2926) for technical grids, coordinates, and hairlines
+
+## Visual Elements
+
+- Coordinate-style labels on every module (e.g., R-20, G-02, SEC-08)
+- Technical diagrams: exploded views, cross-sections with anchor points, architectural skeletal lines
+- Vertical/horizontal rulers with precise markers (0.5mm, 1.8mm, 45°)
+- "Marker-over-print" effect: color blocks slightly offset from text, postmodern print feel
+- Cross-hair targets, mathematical symbols (Σ, Δ, ∞), directional arrows (X/Y axis)
+- Microscopic detail annotations alongside macroscopic bold headers
+- Corner metadata: tiny barcodes, timestamps, technical parameters
+- High contrast between massive bold headers and tiny 8pt-style annotations
+
+## Typography
+
+- Headers: Bold brutalist characters, high visual impact
+- Body: Professional sans-serif or crisp technical print
+- Numbers: Large, highlighted with yellow or blue to stand out
+- Annotations: Ultra-crisp, small technical labels
+
+## Style Enforcement
+
+- Strictly systematic color usage: only teal, pink, yellow, charcoal—no rainbow palette
+- Sufficient fine grid lines and coordinate annotations throughout
+- Maintain tension between large impactful headers and small precise parameters
+- Lab manual aesthetic: mix of microscopic details and macroscopic data
+
+## Avoid
+
+- Cute or cartoonish doodles
+- Soft pastels or generic textures
+- Empty white space
+- Flat vector stock icons
+- Organic or hand-drawn imperfections
+
+## Best For
+
+Technical product guides, specification comparisons, precision-focused data visualization, engineering-adjacent content
@@ -0,0 +1,47 @@
+# retro-pop-grid
+
+1970s retro pop art with strict Swiss international grid, thick black outlines, and flat color blocks.
+
+## Color Palette
+
+- Background: Warm vintage cream/beige (#F5F0E6)
+- Flat accents: Salmon pink, sky blue, mustard yellow, mint green—all muted retro tones
+- Contrast blocks: Solid pure black (#000000) and solid pure white (#FFFFFF) used strategically for extreme contrast
+- Line art and outlines: Solid thick black
+
+## Visual Elements
+
+- Uniform thick black outlines on all illustrations, text boxes, and grid dividers
+- Pure 2D flat vector aesthetic with subtle screen print texture
+- Strict Swiss international grid: poster divided into square and rectangular cells by thick black lines
+- Black-background cells with white text for warnings or key categories (inverted contrast)
+- Geometric fill patterns in empty cells: checkerboards, diagonal lines, dots
+- Flat abstract symbols, warning signs, keyholes, stars, arrows
+- Vintage comic-style smiley/frowny faces for quality indicators
+- Colored cells used for breathing room—some with minimal/no content
+
+## Typography
+
+- Headers: Bold brutalist or retro thick display fonts, high legibility
+- Body: Clean sans-serif, structured typographic alignment
+- Decorative English text acceptable for stylistic labels ("WARNING", "INFO", "BEST")
+- All content text in specified language
+
+## Style Enforcement
+
+- Absolutely no gradients, shading, drop shadows, or 3D effects
+- Everything anchored in grid cells—no floating or unorganized elements
+- Maintain 1970s retro pop art and underground comic illustration feel
+- Visual density balanced with rhythmic grid—some cells intentionally sparse for contrast
+
+## Avoid
+
+- 3D rendering, realistic details, gradients, soft shadows
+- Soft, thin, or sketch-like pencil lines
+- Free-flowing, unorganized, or floating layouts (everything must be grid-anchored)
+- Pure white background canvas
+- Organic or hand-drawn imperfections
+
+## Best For
+
+Trendy product guides, design-conscious content, visually striking comparisons, content targeting design-savvy audiences, bold social media posts
@@ -68,9 +68,24 @@ Use `AskUserQuestion` to ask whether to format first. Formatting can fix:

 **If user declines**: Continue with original file.

-### Step 1: Confirm Theme
+### Step 1: Determine Theme

-Before converting, use AskUserQuestion to confirm the theme (unless user already specified):
+**Theme resolution order** (first match wins):
+1. User explicitly specified theme (CLI `--theme` or conversation)
+2. EXTEND.md `default_theme` (this skill's own EXTEND.md, checked in Step 0)
+3. `baoyu-post-to-wechat` EXTEND.md `default_theme` (cross-skill fallback)
+4. If none found → use AskUserQuestion to confirm
+
+**Cross-skill EXTEND.md check** (only if this skill's EXTEND.md has no `default_theme`):
+
+```bash
+# Check baoyu-post-to-wechat EXTEND.md for default_theme
+test -f "$HOME/.baoyu-skills/baoyu-post-to-wechat/EXTEND.md" && grep -o 'default_theme:.*' "$HOME/.baoyu-skills/baoyu-post-to-wechat/EXTEND.md"
+```
+
+**If theme is resolved from EXTEND.md**: Use it directly, do NOT ask the user.
+
+**If no default found**: Use AskUserQuestion to confirm:

 | Theme | Description |
 |-------|-------------|
@@ -196,20 +196,19 @@ B) Continue - provide HTML file manually

 **Skip if**: Input is `.html` file

-1. **Ask theme preference** (unless specified in EXTEND.md or CLI):
+1. **Resolve theme** (first match wins, do NOT ask user if resolved):
+   - CLI `--theme` argument
+   - EXTEND.md `default_theme` (loaded in Step 0)
+   - Fallback: `default`

-| Theme | Description |
-|-------|-------------|
-| `default` | 经典主题 - 传统排版，标题居中带底边，二级标题白字彩底 |
-| `grace` | 优雅主题 - 文字阴影，圆角卡片，精致引用块 |
-| `simple` | 简洁主题 - 现代极简风，不对称圆角，清爽留白 |
-
-2. **Execute conversion** (using the discovered skill):
+2. **Execute conversion** (using the discovered skill), **always pass `--theme`**:

 ```bash
 npx -y bun ${MD_TO_HTML_SKILL_DIR}/scripts/main.ts <markdown_file> --theme <theme>
 ```

+**CRITICAL**: Always include `--theme` parameter. Never omit it, even if using `default`.
+
 3. **Parse JSON output** to get: `htmlPath`, `title`, `author`, `summary`, `contentImages`

 ### Step 4: Validate Metadata
@@ -570,10 +570,7 @@ export async function postToWeChat(options: WeChatBrowserOptions): Promise<void>
    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 });
-        `,
+        expression: `JSON.stringify({ uploaded: document.querySelectorAll('.weui-desktop-upload__thumb, .pic_item, [class*=upload_thumb]').length })`,
        returnByValue: true,
      }, { sessionId });
      const status = JSON.parse(uploadCheck.result.value);
@@ -56,7 +56,7 @@ test -f "$HOME/.baoyu-skills/baoyu-post-to-x/EXTEND.md" && echo "user"
 │ Not found │ Use defaults                                                              │
 └───────────┴───────────────────────────────────────────────────────────────────────────┘

-**EXTEND.md Supports**: Default Chrome profile | Auto-submit preference
+**EXTEND.md Supports**: Default Chrome profile

 ## Prerequisites

@@ -98,8 +98,7 @@ Checks: Chrome, profile isolation, Bun, Accessibility, clipboard, paste keystrok
 Text + up to 4 images.

 ```bash
-npx -y bun ${SKILL_DIR}/scripts/x-browser.ts "Hello!" --image ./photo.png          # Preview
-npx -y bun ${SKILL_DIR}/scripts/x-browser.ts "Hello!" --image ./photo.png --submit  # Post
+npx -y bun ${SKILL_DIR}/scripts/x-browser.ts "Hello!" --image ./photo.png
 ```

 **Parameters**:
@@ -107,9 +106,10 @@ npx -y bun ${SKILL_DIR}/scripts/x-browser.ts "Hello!" --image ./photo.png --subm
 |-----------|-------------|
 | `<text>` | Post content (positional) |
 | `--image <path>` | Image file (repeatable, max 4) |
-| `--submit` | Post (default: preview) |
 | `--profile <dir>` | Custom Chrome profile |

+**Note**: Script opens browser with content filled in. User reviews and publishes manually.
+
 ---

 ## Video Posts
@@ -117,8 +117,7 @@ npx -y bun ${SKILL_DIR}/scripts/x-browser.ts "Hello!" --image ./photo.png --subm
 Text + video file.

 ```bash
-npx -y bun ${SKILL_DIR}/scripts/x-video.ts "Check this out!" --video ./clip.mp4          # Preview
-npx -y bun ${SKILL_DIR}/scripts/x-video.ts "Amazing content" --video ./demo.mp4 --submit  # Post
+npx -y bun ${SKILL_DIR}/scripts/x-video.ts "Check this out!" --video ./clip.mp4
 ```

 **Parameters**:
@@ -126,9 +125,10 @@ npx -y bun ${SKILL_DIR}/scripts/x-video.ts "Amazing content" --video ./demo.mp4
 |-----------|-------------|
 | `<text>` | Post content (positional) |
 | `--video <path>` | Video file (MP4, MOV, WebM) |
-| `--submit` | Post (default: preview) |
 | `--profile <dir>` | Custom Chrome profile |

+**Note**: Script opens browser with content filled in. User reviews and publishes manually.
+
 **Limits**: Regular 140s max, Premium 60min. Processing: 30-60s.

 ---
@@ -138,8 +138,7 @@ npx -y bun ${SKILL_DIR}/scripts/x-video.ts "Amazing content" --video ./demo.mp4
 Quote an existing tweet with comment.

 ```bash
-npx -y bun ${SKILL_DIR}/scripts/x-quote.ts https://x.com/user/status/123 "Great insight!"          # Preview
-npx -y bun ${SKILL_DIR}/scripts/x-quote.ts https://x.com/user/status/123 "I agree!" --submit       # Post
+npx -y bun ${SKILL_DIR}/scripts/x-quote.ts https://x.com/user/status/123 "Great insight!"
 ```

 **Parameters**:
@@ -147,9 +146,10 @@ npx -y bun ${SKILL_DIR}/scripts/x-quote.ts https://x.com/user/status/123 "I agre
 |-----------|-------------|
 | `<tweet-url>` | URL to quote (positional) |
 | `<comment>` | Comment text (positional, optional) |
-| `--submit` | Post (default: preview) |
 | `--profile <dir>` | Custom Chrome profile |

+**Note**: Script opens browser with content filled in. User reviews and publishes manually.
+
 ---

 ## X Articles
@@ -157,9 +157,8 @@ npx -y bun ${SKILL_DIR}/scripts/x-quote.ts https://x.com/user/status/123 "I agre
 Long-form Markdown articles (requires X Premium).

 ```bash
-npx -y bun ${SKILL_DIR}/scripts/x-article.ts article.md                        # Preview
-npx -y bun ${SKILL_DIR}/scripts/x-article.ts article.md --cover ./cover.jpg    # With cover
-npx -y bun ${SKILL_DIR}/scripts/x-article.ts article.md --submit               # Publish
+npx -y bun ${SKILL_DIR}/scripts/x-article.ts article.md
+npx -y bun ${SKILL_DIR}/scripts/x-article.ts article.md --cover ./cover.jpg
 ```

 **Parameters**:
@@ -168,10 +167,11 @@ npx -y bun ${SKILL_DIR}/scripts/x-article.ts article.md --submit               #
 | `<markdown>` | Markdown file (positional) |
 | `--cover <path>` | Cover image |
 | `--title <text>` | Override title |
-| `--submit` | Publish (default: preview) |

 **Frontmatter**: `title`, `cover_image` supported in YAML front matter.

+**Note**: Script opens browser with article filled in. User reviews and publishes manually.
+
 ---

 ## Troubleshooting
@@ -189,7 +189,7 @@ pkill -f "Chrome.*remote-debugging-port" 2>/dev/null; pkill -f "Chromium.*remote
 ## Notes

 - First run: manual login required (session persists)
- Always preview before `--submit`
+- All scripts only fill content into the browser, user must review and publish manually
 - Cross-platform: macOS, Linux, Windows

 ## Extension Support
@@ -0,0 +1,140 @@
+{
+  "lockfileVersion": 1,
+  "workspaces": {
+    "": {
+      "name": "baoyu-post-to-x-scripts",
+      "dependencies": {
+        "front-matter": "^4.0.2",
+        "highlight.js": "^11.11.1",
+        "marked": "^15.0.6",
+        "remark-cjk-friendly": "^1.1.0",
+        "remark-parse": "^11.0.0",
+        "remark-stringify": "^11.0.0",
+        "unified": "^11.0.5",
+      },
+    },
+  },
+  "packages": {
+    "@types/debug": ["@types/debug@4.1.12", "", { "dependencies": { "@types/ms": "*" } }, "sha512-vIChWdVG3LG1SMxEvI/AK+FWJthlrqlTu7fbrlywTkkaONwk/UAGaULXRlf8vkzFBLVm0zkMdCquhL5aOjhXPQ=="],
+
+    "@types/mdast": ["@types/mdast@4.0.4", "", { "dependencies": { "@types/unist": "*" } }, "sha512-kGaNbPh1k7AFzgpud/gMdvIm5xuECykRR+JnWKQno9TAXVa6WIVCGTPvYGekIDL4uwCZQSYbUxNBSb1aUo79oA=="],
+
+    "@types/ms": ["@types/ms@2.1.0", "", {}, "sha512-GsCCIZDE/p3i96vtEqx+7dBUGXrc7zeSK3wwPHIaRThS+9OhWIXRqzs4d6k1SVU8g91DrNRWxWUGhp5KXQb2VA=="],
+
+    "@types/unist": ["@types/unist@3.0.3", "", {}, "sha512-ko/gIFJRv177XgZsZcBwnqJN5x/Gien8qNOn0D5bQU/zAzVf9Zt3BlcUiLqhV9y4ARk0GbT3tnUiPNgnTXzc/Q=="],
+
+    "argparse": ["argparse@1.0.10", "", { "dependencies": { "sprintf-js": "~1.0.2" } }, "sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg=="],
+
+    "bail": ["bail@2.0.2", "", {}, "sha512-0xO6mYd7JB2YesxDKplafRpsiOzPt9V02ddPCLbY1xYGPOX24NTyN50qnUxgCPcSoYMhKpAuBTjQoRZCAkUDRw=="],
+
+    "character-entities": ["character-entities@2.0.2", "", {}, "sha512-shx7oQ0Awen/BRIdkjkvz54PnEEI/EjwXDSIZp86/KKdbafHh1Df/RYGBhn4hbe2+uKC9FnT5UCEdyPz3ai9hQ=="],
+
+    "debug": ["debug@4.4.3", "", { "dependencies": { "ms": "^2.1.3" } }, "sha512-RGwwWnwQvkVfavKVt22FGLw+xYSdzARwm0ru6DhTVA3umU5hZc28V3kO4stgYryrTlLpuvgI9GiijltAjNbcqA=="],
+
+    "decode-named-character-reference": ["decode-named-character-reference@1.3.0", "", { "dependencies": { "character-entities": "^2.0.0" } }, "sha512-GtpQYB283KrPp6nRw50q3U9/VfOutZOe103qlN7BPP6Ad27xYnOIWv4lPzo8HCAL+mMZofJ9KEy30fq6MfaK6Q=="],
+
+    "dequal": ["dequal@2.0.3", "", {}, "sha512-0je+qPKHEMohvfRTCEo3CrPG6cAzAYgmzKyxRiYSSDkS6eGJdyVJm7WaYA5ECaAD9wLB2T4EEeymA5aFVcYXCA=="],
+
+    "devlop": ["devlop@1.1.0", "", { "dependencies": { "dequal": "^2.0.0" } }, "sha512-RWmIqhcFf1lRYBvNmr7qTNuyCt/7/ns2jbpp1+PalgE/rDQcBT0fioSMUpJ93irlUhC5hrg4cYqe6U+0ImW0rA=="],
+
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+    "micromark-core-commonmark": ["micromark-core-commonmark@2.0.3", "", { "dependencies": { "decode-named-character-reference": "^1.0.0", "devlop": "^1.0.0", "micromark-factory-destination": "^2.0.0", "micromark-factory-label": "^2.0.0", "micromark-factory-space": "^2.0.0", "micromark-factory-title": "^2.0.0", "micromark-factory-whitespace": "^2.0.0", "micromark-util-character": "^2.0.0", "micromark-util-chunked": "^2.0.0", "micromark-util-classify-character": "^2.0.0", "micromark-util-html-tag-name": "^2.0.0", "micromark-util-normalize-identifier": "^2.0.0", "micromark-util-resolve-all": "^2.0.0", "micromark-util-subtokenize": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-RDBrHEMSxVFLg6xvnXmb1Ayr2WzLAWjeSATAoxwKYJV94TeNavgoIdA0a9ytzDSVzBy2YKFK+emCPOEibLeCrg=="],
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+    "micromark-extension-cjk-friendly-util": ["micromark-extension-cjk-friendly-util@2.1.1", "", { "dependencies": { "get-east-asian-width": "^1.3.0", "micromark-util-character": "^2.1.1", "micromark-util-symbol": "^2.0.1" } }, "sha512-egs6+12JU2yutskHY55FyR48ZiEcFOJFyk9rsiyIhcJ6IvWB6ABBqVrBw8IobqJTDZ/wdSr9eoXDPb5S2nW1bg=="],
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+    "micromark-factory-label": ["micromark-factory-label@2.0.1", "", { "dependencies": { "devlop": "^1.0.0", "micromark-util-character": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-VFMekyQExqIW7xIChcXn4ok29YE3rnuyveW3wZQWWqF4Nv9Wk5rgJ99KzPvHjkmPXF93FXIbBp6YdW3t71/7Vg=="],
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+    "micromark-factory-title": ["micromark-factory-title@2.0.1", "", { "dependencies": { "micromark-factory-space": "^2.0.0", "micromark-util-character": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-5bZ+3CjhAd9eChYTHsjy6TGxpOFSKgKKJPJxr293jTbfry2KDoWkhBb6TcPVB4NmzaPhMs1Frm9AZH7OD4Cjzw=="],
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+    "micromark-factory-whitespace": ["micromark-factory-whitespace@2.0.1", "", { "dependencies": { "micromark-factory-space": "^2.0.0", "micromark-util-character": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-Ob0nuZ3PKt/n0hORHyvoD9uZhr+Za8sFoP+OnMcnWK5lngSzALgQYKMr9RJVOWLqQYuyn6ulqGWSXdwf6F80lQ=="],
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+    "micromark-util-combine-extensions": ["micromark-util-combine-extensions@2.0.1", "", { "dependencies": { "micromark-util-chunked": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-OnAnH8Ujmy59JcyZw8JSbK9cGpdVY44NKgSM7E9Eh7DiLS2E9RNQf0dONaGDzEG9yjEl5hcqeIsj4hfRkLH/Bg=="],
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+    "micromark-util-decode-numeric-character-reference": ["micromark-util-decode-numeric-character-reference@2.0.2", "", { "dependencies": { "micromark-util-symbol": "^2.0.0" } }, "sha512-ccUbYk6CwVdkmCQMyr64dXz42EfHGkPQlBj5p7YVGzq8I7CtjXZJrubAYezf7Rp+bjPseiROqe7G6foFd+lEuw=="],
+
+    "micromark-util-decode-string": ["micromark-util-decode-string@2.0.1", "", { "dependencies": { "decode-named-character-reference": "^1.0.0", "micromark-util-character": "^2.0.0", "micromark-util-decode-numeric-character-reference": "^2.0.0", "micromark-util-symbol": "^2.0.0" } }, "sha512-nDV/77Fj6eH1ynwscYTOsbK7rR//Uj0bZXBwJZRfaLEJ1iGBR6kIfNmlNqaqJf649EP0F3NWNdeJi03elllNUQ=="],
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+    "micromark-util-encode": ["micromark-util-encode@2.0.1", "", {}, "sha512-c3cVx2y4KqUnwopcO9b/SCdo2O67LwJJ/UyqGfbigahfegL9myoEFoDYZgkT7f36T0bLrM9hZTAaAyH+PCAXjw=="],
+
+    "micromark-util-html-tag-name": ["micromark-util-html-tag-name@2.0.1", "", {}, "sha512-2cNEiYDhCWKI+Gs9T0Tiysk136SnR13hhO8yW6BGNyhOC4qYFnwF1nKfD3HFAIXA5c45RrIG1ub11GiXeYd1xA=="],
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+    "micromark-util-normalize-identifier": ["micromark-util-normalize-identifier@2.0.1", "", { "dependencies": { "micromark-util-symbol": "^2.0.0" } }, "sha512-sxPqmo70LyARJs0w2UclACPUUEqltCkJ6PhKdMIDuJ3gSf/Q+/GIe3WKl0Ijb/GyH9lOpUkRAO2wp0GVkLvS9Q=="],
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+    "micromark-util-sanitize-uri": ["micromark-util-sanitize-uri@2.0.1", "", { "dependencies": { "micromark-util-character": "^2.0.0", "micromark-util-encode": "^2.0.0", "micromark-util-symbol": "^2.0.0" } }, "sha512-9N9IomZ/YuGGZZmQec1MbgxtlgougxTodVwDzzEouPKo3qFWvymFHWcnDi2vzV1ff6kas9ucW+o3yzJK9YB1AQ=="],
+
+    "micromark-util-subtokenize": ["micromark-util-subtokenize@2.1.0", "", { "dependencies": { "devlop": "^1.0.0", "micromark-util-chunked": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-XQLu552iSctvnEcgXw6+Sx75GflAPNED1qx7eBJ+wydBb2KCbRZe+NwvIEEMM83uml1+2WSXpBAcp9IUCgCYWA=="],
+
+    "micromark-util-symbol": ["micromark-util-symbol@2.0.1", "", {}, "sha512-vs5t8Apaud9N28kgCrRUdEed4UJ+wWNvicHLPxCa9ENlYuAY31M0ETy5y1vA33YoNPDFTghEbnh6efaE8h4x0Q=="],
+
+    "micromark-util-types": ["micromark-util-types@2.0.2", "", {}, "sha512-Yw0ECSpJoViF1qTU4DC6NwtC4aWGt1EkzaQB8KPPyCRR8z9TWeV0HbEFGTO+ZY1wB22zmxnJqhPyTpOVCpeHTA=="],
+
+    "ms": ["ms@2.1.3", "", {}, "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="],
+
+    "remark-cjk-friendly": ["remark-cjk-friendly@1.2.3", "", { "dependencies": { "micromark-extension-cjk-friendly": "1.2.3" }, "peerDependencies": { "@types/mdast": "^4.0.0", "unified": "^11.0.0" }, "optionalPeers": ["@types/mdast"] }, "sha512-UvAgxwlNk+l9Oqgl/9MWK2eWRS7zgBW/nXX9AthV7nd/3lNejF138E7Xbmk9Zs4WjTJGs721r7fAEc7tNFoH7g=="],
+
+    "remark-parse": ["remark-parse@11.0.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "mdast-util-from-markdown": "^2.0.0", "micromark-util-types": "^2.0.0", "unified": "^11.0.0" } }, "sha512-FCxlKLNGknS5ba/1lmpYijMUzX2esxW5xQqjWxw2eHFfS2MSdaHVINFmhjo+qN1WhZhNimq0dZATN9pH0IDrpA=="],
+
+    "remark-stringify": ["remark-stringify@11.0.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "mdast-util-to-markdown": "^2.0.0", "unified": "^11.0.0" } }, "sha512-1OSmLd3awB/t8qdoEOMazZkNsfVTeY4fTsgzcQFdXNq8ToTN4ZGwrMnlda4K6smTFKD+GRV6O48i6Z4iKgPPpw=="],
+
+    "sprintf-js": ["sprintf-js@1.0.3", "", {}, "sha512-D9cPgkvLlV3t3IzL0D0YLvGA9Ahk4PcvVwUbN0dSGr1aP0Nrt4AEnTUbuGvquEC0mA64Gqt1fzirlRs5ibXx8g=="],
+
+    "trough": ["trough@2.2.0", "", {}, "sha512-tmMpK00BjZiUyVyvrBK7knerNgmgvcV/KLVyuma/SC+TQN167GrMRciANTz09+k3zW8L8t60jWO1GpfkZdjTaw=="],
+
+    "unified": ["unified@11.0.5", "", { "dependencies": { "@types/unist": "^3.0.0", "bail": "^2.0.0", "devlop": "^1.0.0", "extend": "^3.0.0", "is-plain-obj": "^4.0.0", "trough": "^2.0.0", "vfile": "^6.0.0" } }, "sha512-xKvGhPWw3k84Qjh8bI3ZeJjqnyadK+GEFtazSfZv/rKeTkTjOJho6mFqh2SM96iIcZokxiOpg78GazTSg8+KHA=="],
+
+    "unist-util-is": ["unist-util-is@6.0.1", "", { "dependencies": { "@types/unist": "^3.0.0" } }, "sha512-LsiILbtBETkDz8I9p1dQ0uyRUWuaQzd/cuEeS1hoRSyW5E5XGmTzlwY1OrNzzakGowI9Dr/I8HVaw4hTtnxy8g=="],
+
+    "unist-util-stringify-position": ["unist-util-stringify-position@4.0.0", "", { "dependencies": { "@types/unist": "^3.0.0" } }, "sha512-0ASV06AAoKCDkS2+xw5RXJywruurpbC4JZSm7nr7MOt1ojAzvyyaO+UxZf18j8FCF6kmzCZKcAgN/yu2gm2XgQ=="],
+
+    "unist-util-visit": ["unist-util-visit@5.1.0", "", { "dependencies": { "@types/unist": "^3.0.0", "unist-util-is": "^6.0.0", "unist-util-visit-parents": "^6.0.0" } }, "sha512-m+vIdyeCOpdr/QeQCu2EzxX/ohgS8KbnPDgFni4dQsfSCtpz8UqDyY5GjRru8PDKuYn7Fq19j1CQ+nJSsGKOzg=="],
+
+    "unist-util-visit-parents": ["unist-util-visit-parents@6.0.2", "", { "dependencies": { "@types/unist": "^3.0.0", "unist-util-is": "^6.0.0" } }, "sha512-goh1s1TBrqSqukSc8wrjwWhL0hiJxgA8m4kFxGlQ+8FYQ3C/m11FcTs4YYem7V664AhHVvgoQLk890Ssdsr2IQ=="],
+
+    "vfile": ["vfile@6.0.3", "", { "dependencies": { "@types/unist": "^3.0.0", "vfile-message": "^4.0.0" } }, "sha512-KzIbH/9tXat2u30jf+smMwFCsno4wHVdNmzFyL+T/L3UGqqk6JKfVqOFOZEpZSHADH1k40ab6NUIXZq422ov3Q=="],
+
+    "vfile-message": ["vfile-message@4.0.3", "", { "dependencies": { "@types/unist": "^3.0.0", "unist-util-stringify-position": "^4.0.0" } }, "sha512-QTHzsGd1EhbZs4AsQ20JX1rC3cOlt/IWJruk893DfLRr57lcnOeMaWG4K0JrRta4mIJZKth2Au3mM3u03/JWKw=="],
+
+    "zwitch": ["zwitch@2.0.4", "", {}, "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A=="],
+  }
+}
@@ -7,6 +7,14 @@ import path from 'node:path';
 import process from 'node:process';
 import { createHash } from 'node:crypto';

+import frontMatter from 'front-matter';
+import hljs from 'highlight.js/lib/common';
+import { Lexer, Marked, type RendererObject, type Tokens } from 'marked';
+import { unified } from 'unified';
+import remarkCjkFriendly from 'remark-cjk-friendly';
+import remarkParse from 'remark-parse';
+import remarkStringify from 'remark-stringify';
+
 interface ImageInfo {
  placeholder: string;
  localPath: string;
@@ -22,25 +30,80 @@ interface ParsedMarkdown {
  totalBlocks: number;
 }

-function parseFrontmatter(content: string): { frontmatter: Record<string, string>; body: string } {
-  const match = content.match(/^---\r?\n([\s\S]*?)\r?\n---\r?\n([\s\S]*)$/);
-  if (!match) return { frontmatter: {}, body: content };
+type FrontmatterFields = Record<string, unknown>;

-  const frontmatter: Record<string, string> = {};
-  const lines = match[1]!.split('\n');
-  for (const line of lines) {
-    const colonIdx = line.indexOf(':');
-    if (colonIdx > 0) {
-      const key = line.slice(0, colonIdx).trim();
-      let value = line.slice(colonIdx + 1).trim();
-      if ((value.startsWith('"') && value.endsWith('"')) || (value.startsWith("'") && value.endsWith("'"))) {
-        value = value.slice(1, -1);
+function parseFrontmatter(content: string): { frontmatter: FrontmatterFields; body: string } {
+  try {
+    const parsed = frontMatter<FrontmatterFields>(content);
+    return {
+      frontmatter: parsed.attributes ?? {},
+      body: parsed.body,
+    };
+  } catch {
+    return { frontmatter: {}, body: content };
+  }
+}
+
+function stripWrappingQuotes(value: string): string {
+  if (!value) return value;
+  const doubleQuoted = value.startsWith('"') && value.endsWith('"');
+  const singleQuoted = value.startsWith("'") && value.endsWith("'");
+  const cjkDoubleQuoted = value.startsWith('\u201c') && value.endsWith('\u201d');
+  const cjkSingleQuoted = value.startsWith('\u2018') && value.endsWith('\u2019');
+  if (doubleQuoted || singleQuoted || cjkDoubleQuoted || cjkSingleQuoted) {
+    return value.slice(1, -1).trim();
+  }
+  return value.trim();
+}
+
+function toFrontmatterString(value: unknown): string | undefined {
+  if (typeof value === 'string') {
+    return stripWrappingQuotes(value);
+  }
+  if (typeof value === 'number' || typeof value === 'boolean') {
+    return String(value);
+  }
+  return undefined;
+}
+
+function pickFirstString(frontmatter: FrontmatterFields, keys: string[]): string | undefined {
+  for (const key of keys) {
+    const value = toFrontmatterString(frontmatter[key]);
+    if (value) return value;
+  }
+  return undefined;
+}
+
+function findCoverImageNearMarkdown(baseDir: string): string | null {
+  const candidateDirs = [baseDir, path.join(baseDir, 'imgs')];
+  const coverPattern = /^cover\.(png|jpe?g|webp)$/i;
+
+  for (const dir of candidateDirs) {
+    try {
+      if (!fs.existsSync(dir) || !fs.statSync(dir).isDirectory()) {
+        continue;
      }
-      frontmatter[key] = value;
+
+      const match = fs.readdirSync(dir).find((entry) => coverPattern.test(entry));
+      if (match) {
+        return path.join(dir, match);
+      }
+    } catch {
+      continue;
    }
  }

-  return { frontmatter, body: match[2]! };
+  return null;
+}
+
+function extractTitleFromMarkdown(markdown: string): string {
+  const tokens = Lexer.lex(markdown, { gfm: true, breaks: true });
+  for (const token of tokens) {
+    if (token.type === 'heading' && token.depth === 1) {
+      return stripWrappingQuotes(token.text);
+    }
+  }
+  return '';
 }

 function downloadFile(url: string, destPath: string): Promise<void> {
@@ -116,141 +179,99 @@ function escapeHtml(text: string): string {
    .replace(/&/g, '&amp;')
    .replace(/</g, '&lt;')
    .replace(/>/g, '&gt;')
-    .replace(/"/g, '&quot;');
+    .replace(/"/g, '&quot;')
+    .replace(/'/g, '&#39;');
+}
+
+function highlightCode(code: string, lang: string): string {
+  try {
+    if (lang && hljs.getLanguage(lang)) {
+      return hljs.highlight(code, { language: lang, ignoreIllegals: true }).value;
+    }
+    return hljs.highlightAuto(code).value;
+  } catch {
+    return escapeHtml(code);
+  }
+}
+
+function preprocessCjkMarkdown(markdown: string): string {
+  try {
+    const processor = unified()
+      .use(remarkParse)
+      .use(remarkCjkFriendly)
+      .use(remarkStringify);
+
+    const result = String(processor.processSync(markdown));
+    return result.replace(/&#x([0-9A-Fa-f]+);/g, (_, hex: string) => String.fromCodePoint(parseInt(hex, 16)));
+  } catch {
+    return markdown;
+  }
 }

 function convertMarkdownToHtml(markdown: string, imageCallback: (src: string, alt: string) => string): { html: string; totalBlocks: number } {
-  const lines = markdown.split('\n');
-  const blocks: string[] = [];
-  let inCodeBlock = false;
-  let codeBlockContent: string[] = [];
-  let inList = false;
-  let listItems: string[] = [];
-  let listType: 'ul' | 'ol' = 'ul';
+  const preprocessedMarkdown = preprocessCjkMarkdown(markdown);
+  const blockTokens = Lexer.lex(preprocessedMarkdown, { gfm: true, breaks: true });

-  const flushList = () => {
-    if (listItems.length > 0) {
-      const tag = listType === 'ol' ? 'ol' : 'ul';
-      blocks.push(`<${tag}>${listItems.map((item) => `<li>${item}</li>`).join('')}</${tag}>`);
-      listItems = [];
-      inList = false;
-    }
+  const renderer: RendererObject = {
+    heading({ depth, tokens }: Tokens.Heading): string {
+      if (depth === 1) {
+        return '';
+      }
+      return `<h2>${this.parser.parseInline(tokens)}</h2>`;
+    },
+
+    paragraph({ tokens }: Tokens.Paragraph): string {
+      const text = this.parser.parseInline(tokens).trim();
+      if (!text) return '';
+      return `<p>${text}</p>`;
+    },
+
+    blockquote({ tokens }: Tokens.Blockquote): string {
+      return `<blockquote>${this.parser.parse(tokens)}</blockquote>`;
+    },
+
+    code({ text, lang = '' }: Tokens.Code): string {
+      const language = lang.split(/\s+/)[0]!.toLowerCase();
+      const source = text.replace(/\n$/, '');
+      const highlighted = highlightCode(source, language).replace(/\n/g, '<br>');
+      const label = language ? `<strong>[${escapeHtml(language)}]</strong><br>` : '';
+      return `<blockquote>${label}${highlighted}</blockquote>`;
+    },
+
+    image({ href, text }: Tokens.Image): string {
+      if (!href) return '';
+      return imageCallback(href, text ?? '');
+    },
+
+    link({ href, title, tokens, text }: Tokens.Link): string {
+      const label = tokens?.length ? this.parser.parseInline(tokens) : escapeHtml(text || href || '');
+      if (!href) return label;
+
+      const titleAttr = title ? ` title="${escapeHtml(title)}"` : '';
+      return `<a href="${escapeHtml(href)}"${titleAttr} rel="noopener noreferrer nofollow">${label}</a>`;
+    },
  };

-  const processInline = (text: string): string => {
-    // Bold
-    text = text.replace(/\*\*(.+?)\*\*/g, '<strong>$1</strong>');
-    text = text.replace(/__(.+?)__/g, '<strong>$1</strong>');
+  const parser = new Marked({
+    gfm: true,
+    breaks: true,
+  });
+  parser.use({ renderer });

-    // Italic
-    text = text.replace(/\*(.+?)\*/g, '<em>$1</em>');
-    text = text.replace(/_(.+?)_/g, '<em>$1</em>');
-
-    // Links
-    text = text.replace(/\[([^\]]+)\]\(([^)]+)\)/g, '<a href="$2">$1</a>');
-
-    // Inline code
-    text = text.replace(/`([^`]+)`/g, '<code>$1</code>');
-
-    return text;
-  };
-
-  for (let i = 0; i < lines.length; i++) {
-    const line = lines[i]!;
-
-    // Code block
-    if (line.startsWith('```')) {
-      if (inCodeBlock) {
-        // X doesn't support <pre><code>, convert to blockquote
-        const codeContent = codeBlockContent.map((l) => escapeHtml(l)).join('<br>');
-        blocks.push(`<blockquote>${codeContent}</blockquote>`);
-        codeBlockContent = [];
-        inCodeBlock = false;
-      } else {
-        flushList();
-        inCodeBlock = true;
-      }
-      continue;
-    }
-
-    if (inCodeBlock) {
-      codeBlockContent.push(line);
-      continue;
-    }
-
-    // Empty line
-    if (line.trim() === '') {
-      flushList();
-      continue;
-    }
-
-    // Image
-    const imgMatch = line.match(/^!\[([^\]]*)\]\(([^)]+)\)\s*$/);
-    if (imgMatch) {
-      flushList();
-      const placeholder = imageCallback(imgMatch[2]!, imgMatch[1]!);
-      blocks.push(`<p>${placeholder}</p>`);
-      continue;
-    }
-
-    // Heading (H1 is title, skip it; H2-H6 become H2)
-    const headingMatch = line.match(/^(#{1,6})\s+(.+)$/);
-    if (headingMatch) {
-      flushList();
-      const level = headingMatch[1]!.length;
-      if (level === 1) continue; // Skip H1, it's the title
-      blocks.push(`<h2>${processInline(headingMatch[2]!)}</h2>`);
-      continue;
-    }
-
-    // Blockquote
-    if (line.startsWith('> ')) {
-      flushList();
-      blocks.push(`<blockquote>${processInline(line.slice(2))}</blockquote>`);
-      continue;
-    }
-
-    // Unordered list
-    const ulMatch = line.match(/^[-*]\s+(.+)$/);
-    if (ulMatch) {
-      if (!inList || listType !== 'ul') {
-        flushList();
-        inList = true;
-        listType = 'ul';
-      }
-      listItems.push(processInline(ulMatch[1]!));
-      continue;
-    }
-
-    // Ordered list
-    const olMatch = line.match(/^\d+\.\s+(.+)$/);
-    if (olMatch) {
-      if (!inList || listType !== 'ol') {
-        flushList();
-        inList = true;
-        listType = 'ol';
-      }
-      listItems.push(processInline(olMatch[1]!));
-      continue;
-    }
-
-    // Horizontal rule
-    if (/^[-*_]{3,}\s*$/.test(line)) {
-      flushList();
-      blocks.push('<hr>');
-      continue;
-    }
-
-    // Regular paragraph
-    flushList();
-    blocks.push(`<p>${processInline(line)}</p>`);
+  const rendered = parser.parse(preprocessedMarkdown);
+  if (typeof rendered !== 'string') {
+    throw new Error('Unexpected async markdown parse result');
  }

-  flushList();
+  const totalBlocks = blockTokens.filter((token) => {
+    if (token.type === 'space') return false;
+    if (token.type === 'heading' && token.depth === 1) return false;
+    return true;
+  }).length;

  return {
-    html: blocks.join('\n'),
-    totalBlocks: blocks.length,
+    html: rendered,
+    totalBlocks,
  };
 }

@@ -266,59 +287,58 @@ export async function parseMarkdown(

  const { frontmatter, body } = parseFrontmatter(content);

-  // Extract title from frontmatter, option, or first H1
-  let title = options?.title ?? frontmatter.title ?? '';
+  let title = stripWrappingQuotes(options?.title ?? '') || pickFirstString(frontmatter, ['title']) || '';
  if (!title) {
-    const h1Match = body.match(/^#\s+(.+)$/m);
-    if (h1Match) title = h1Match[1]!;
+    title = extractTitleFromMarkdown(body);
+  }
+  if (!title) {
+    title = path.basename(markdownPath, path.extname(markdownPath));
  }

-  // Extract cover image from frontmatter or option
-  let coverImagePath = options?.coverImage ?? frontmatter.cover_image ?? frontmatter.coverImage ?? frontmatter.cover ?? frontmatter.image ?? frontmatter.featureImage ?? frontmatter.feature_image ?? null;
+  let coverImagePath = stripWrappingQuotes(options?.coverImage ?? '') || pickFirstString(frontmatter, [
+    'cover_image',
+    'coverImage',
+    'cover',
+    'image',
+    'featureImage',
+    'feature_image',
+  ]) || null;
+  if (!coverImagePath) {
+    coverImagePath = findCoverImageNearMarkdown(baseDir);
+  }

  const images: Array<{ src: string; alt: string; blockIndex: number }> = [];
  let imageCounter = 0;

  const { html, totalBlocks } = convertMarkdownToHtml(body, (src, alt) => {
    const placeholder = `XIMGPH_${++imageCounter}`;
-    const currentBlockIndex = images.length; // Will be set properly after HTML generation
-
-    images.push({ src, alt, blockIndex: -1 }); // blockIndex set later
+    images.push({ src, alt, blockIndex: -1 });
    return placeholder;
  });

-  // Update block indices by finding placeholders in HTML
  const htmlLines = html.split('\n');
-  let blockIdx = 0;
-  for (const line of htmlLines) {
-    for (let i = 0; i < images.length; i++) {
-      const placeholder = `XIMGPH_${i + 1}`;
-      if (line.includes(placeholder)) {
-        images[i]!.blockIndex = blockIdx;
+  for (let i = 0; i < images.length; i++) {
+    const placeholder = `XIMGPH_${i + 1}`;
+    for (let lineIndex = 0; lineIndex < htmlLines.length; lineIndex++) {
+      const regex = new RegExp(`\\b${placeholder}\\b`);
+      if (regex.test(htmlLines[lineIndex]!)) {
+        images[i]!.blockIndex = lineIndex;
+        break;
      }
    }
-    blockIdx++;
  }

-  // Resolve image paths (download remote, resolve relative)
  const contentImages: ImageInfo[] = [];
-  let isFirstImage = true;
-  let coverPlaceholder: string | null = null;
+  let firstImageAsCover: string | null = null;

  for (let i = 0; i < images.length; i++) {
    const img = images[i]!;
    const localPath = await resolveImagePath(img.src, baseDir, tempDir);

-    // First image becomes cover if no cover specified
-    if (isFirstImage && !coverImagePath) {
-      coverImagePath = localPath;
-      coverPlaceholder = `XIMGPH_${i + 1}`;
-      isFirstImage = false;
-      // Don't add to contentImages, it's the cover
-      continue;
+    if (i === 0 && !coverImagePath) {
+      firstImageAsCover = localPath;
    }

-    isFirstImage = false;
    contentImages.push({
      placeholder: `XIMGPH_${i + 1}`,
      localPath,
@@ -327,17 +347,13 @@ export async function parseMarkdown(
    });
  }

-  // Remove cover placeholder from HTML if first image was used as cover
-  let finalHtml = html;
-  if (coverPlaceholder) {
-    // Remove the placeholder and its containing <p> tag
-    finalHtml = finalHtml.replace(new RegExp(`<p>${coverPlaceholder}</p>\\n?`, 'g'), '');
-  }
+  const finalHtml = html.replace(/\n{3,}/g, '\n\n').trim();

-  // Resolve cover image path
  let resolvedCoverImage: string | null = null;
  if (coverImagePath) {
    resolvedCoverImage = await resolveImagePath(coverImagePath, baseDir, tempDir);
+  } else if (firstImageAsCover) {
+    resolvedCoverImage = firstImageAsCover;
  }

  return {
@@ -0,0 +1,14 @@
+{
+  "name": "baoyu-post-to-x-scripts",
+  "private": true,
+  "type": "module",
+  "dependencies": {
+    "front-matter": "^4.0.2",
+    "highlight.js": "^11.11.1",
+    "marked": "^15.0.6",
+    "remark-cjk-friendly": "^1.1.0",
+    "remark-parse": "^11.0.0",
+    "remark-stringify": "^11.0.0",
+    "unified": "^11.0.5"
+  }
+}
@@ -368,10 +368,21 @@ Display the selected style's default elements from preset, then ask:

 With confirmed outline + style + layout:

+**Visual Consistency — Reference Image Chain**:
+To ensure character/style consistency across all images in a series:
+1. **Generate image 1 (cover) FIRST** — without `--ref`
+2. **Use image 1 as `--ref` for ALL remaining images** (2, 3, ..., N)
+   - This anchors the character design, color rendering, and illustration style
+   - Command pattern: `--ref <path-to-image-01.png>` added to every subsequent generation
+
+This is critical for styles that use recurring characters, mascots, or illustration elements. Image 1 becomes the visual anchor for the entire series.
+
 **For each image (cover + content + ending)**:
 1. Save prompt to `prompts/NN-{type}-[slug].md` (in user's preferred language)
   - **Backup rule**: If prompt file exists, rename to `prompts/NN-{type}-[slug]-backup-YYYYMMDD-HHMMSS.md`
-2. Generate image using confirmed style and layout
+2. Generate image:
+   - **Image 1**: Generate without `--ref` (this establishes the visual anchor)
+   - **Images 2+**: Generate with `--ref <image-01-path>` for consistency
   - **Backup rule**: If image file exists, rename to `NN-{type}-[slug]-backup-YYYYMMDD-HHMMSS.png`
 3. Report progress after each generation

@@ -391,7 +402,7 @@ Reference: `references/config/watermark-guide.md`
 If image generation skill supports `--sessionId`:
 1. Generate unique session ID: `xhs-{topic-slug}-{timestamp}`
 2. Use same session ID for all images
-3. Ensures visual consistency across generated images
+3. Combined with reference image chain, ensures maximum visual consistency

 ### Step 6: Completion Report

@@ -160,7 +160,21 @@ From outline entry, format:
 If preferences include watermark:
 - Add watermark section with content, position, opacity

-### Step 5: Combine
+### Step 5: Visual Consistency — Reference Image Chain
+
+When generating multiple images in a series:
+
+1. **Image 1 (cover)**: Generate without `--ref` — this establishes the visual anchor
+2. **Images 2+**: Always pass image 1 as `--ref` to the image generation skill:
+   ```bash
+   npx -y bun ${SKILL_DIR}/scripts/main.ts \
+     --promptfiles prompts/02-content-xxx.md \
+     --ref path/to/01-cover-xxx.png \
+     --image 02-content-xxx.png --ar 3:4 --quality 2k
+   ```
+   This ensures the AI maintains the same character design, illustration style, and color rendering across the series.
+
+### Step 6: Combine

 Assemble all sections into final prompt following base structure.
Author	SHA1	Message	Date
Jim Liu 宝玉	08cee885d3	chore: release v1.36.0	2026-02-27 10:13:27 -06:00
Jim Liu 宝玉	3bd5fdeb1b	feat(baoyu-image-gen): add gemini-3.1-flash-image-preview model and improve first-time setup - Add gemini-3.1-flash-image-preview to supported Google multimodal models - Improve preferences loading with blocking first-time setup flow - Add first-time-setup.md reference for guided configuration - Update model references in SKILL.md and preferences schema	2026-02-27 10:12:52 -06:00
Jim Liu 宝玉	e5912018f3	Merge pull request #55 from liye71023326/fix/google-proxy-support fix(baoyu-image-gen): use curl fallback when HTTP proxy is detected	2026-02-26 14:33:55 -06:00
李野	b1f568d03d	fix(baoyu-image-gen): use curl fallback for Google API when HTTP proxy is detected Bun's fetch implementation has a known issue where long-lived connections through HTTP proxies (e.g., Clash, V2Ray) get their sockets closed unexpectedly, causing Google image generation requests to fail with "The socket connection was closed unexpectedly". This change adds automatic proxy detection and falls back to curl as the HTTP client when a proxy is configured (via https_proxy, http_proxy, HTTPS_PROXY, HTTP_PROXY, or ALL_PROXY environment variables). When no proxy is detected, the original fetch-based implementation is used. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-26 17:16:15 +08:00
Jim Liu 宝玉	e736707628	chore: release v1.35.0	2026-02-24 22:15:29 -06:00
Jim Liu 宝玉	d863f11f61	feat(baoyu-infographic): add dense-modules layout and 3 new styles for high-density infographics Add dense-modules layout for data-rich guides and 3 new styles: morandi-journal, pop-laboratory, retro-pop-grid. Add keyword shortcuts for 高密度信息大图 auto-selection. Prompt credit: AJ (https://waytoagi.feishu.cn/wiki/YG0zwalijihRREkgmPzcWRInnUg) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-24 22:13:47 -06:00
Jim Liu 宝玉	2ce873c65c	Merge pull request #47 from justnode/feature/add-baoyu-image-gen-provider Feature/add baoyu image gen provider	2026-02-24 21:53:19 -06:00
Jim Liu 宝玉	964cf1e045	chore: release v1.34.2	2026-02-24 18:51:36 -06:00
Jim Liu 宝玉	eded9a98bb	docs(baoyu-post-to-wechat): enforce explicit theme passing for markdown conversion	2026-02-24 18:51:10 -06:00
Jim Liu 宝玉	a64fdbd23f	docs(baoyu-markdown-to-html): clarify theme resolution with EXTEND.md fallbacks	2026-02-24 18:51:04 -06:00
justnodejs	36b9c5e197	docs(baoyu-image-gen): add replicate model configuration documentation	2026-02-24 23:25:38 +08:00
justnodejs	851497abbd	refactor(baoyu-image-gen): update replicate default model to nano-banana-pro	2026-02-24 20:26:47 +08:00
justnodejs	65a561e654	feat(baoyu-image-gen): add replicate provider	2026-02-24 19:12:36 +08:00
Jim Liu 宝玉	7b2c02a007	chore: release v1.34.1	2026-02-20 03:00:26 -06:00
Jim Liu 宝玉	98f49eae96	Merge pull request #45 from LyInfi/fix/wechat-browser-upload-progress-reeval fix(wechat-browser): fix upload progress check crashing on second iteration	2026-02-19 18:41:51 -06:00
LyInfi	1bdf44df9e	fix(wechat-browser): fix upload progress check crashing on second iteration Runtime.evaluate reuses the same JS execution context across calls in a session. The previous expression used `const thumbs = ...` which throws "Identifier 'thumbs' has already been declared" on the second loop iteration, causing result.value to be undefined and JSON.parse to throw "JSON Parse error: Unexpected identifier 'undefined'". Fix by inlining the querySelector into a single expression with no variable declaration, eliminating the re-declaration error. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-02-19 12:12:26 +08:00
Jim Liu 宝玉	d59ecf22c1	chore: release v1.34.0	2026-02-17 13:32:50 -06:00
Jim Liu 宝玉	22fa1a62fc	refactor(baoyu-article-illustrator): enforce prompt file creation before image generation	2026-02-17 13:30:34 -06:00
Jim Liu 宝玉	3d48eed33a	Merge pull request #44 from jeffrey94/feat/ref-image-chain feat(baoyu-xhs-images): add reference image chain for visual consistency	2026-02-17 13:19:34 -06:00
Jim Liu 宝玉	8f1c4a65dd	chore: release v1.33.1	2026-02-14 14:52:51 -06:00
Jim Liu 宝玉	9b97720f16	docs(baoyu-post-to-x): remove --submit flag and clarify manual publish workflow	2026-02-14 14:48:18 -06:00
Jim Liu 宝玉	145e1d2d04	refactor(baoyu-post-to-x): replace hand-rolled markdown parser with marked ecosystem Switch md-to-html from manual line-by-line parsing to marked + front-matter + highlight.js + remark-cjk-friendly for robust markdown conversion with syntax highlighting, proper CJK handling, and standard frontmatter parsing. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-14 14:37:14 -06:00
jeffrey94	49403b6fab	feat(baoyu-xhs-images): add reference image chain for visual consistency When generating multi-image series, use image 1 as --ref for all subsequent images. This anchors character design, color rendering, and illustration style across the entire series — critical for styles with recurring characters or mascots. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-15 00:49:09 +08:00