chore: release v1.35.0

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>

.claude-plugin/marketplace.json

@@ -6,7 +6,7 @@
   },
   "metadata": {
     "description": "Skills shared by Baoyu for improving daily work efficiency",
-    "version": "1.33.0"
+    "version": "1.35.0"
   },
   "plugins": [
     {

CHANGELOG.md

@@ -2,6 +2,42 @@
 
 English | [中文](./CHANGELOG.zh.md)
 
+## 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

CHANGELOG.zh.md

@@ -2,6 +2,42 @@
 
 [English](./CHANGELOG.md) | 中文
 
+## 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

skills/baoyu-article-illustrator/SKILL.md

@@ -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)
+⛔ **BLOCKING: Prompt files MUST be saved before ANY image generation.**
-2. Select generation skill from available skills
+
-3. Process references (`direct`/`style`/`palette`)
+1. For each illustration, create a prompt file per [references/prompt-construction.md](references/prompt-construction.md)
-4. Apply watermark if EXTEND.md enabled
+2. Save to `prompts/NN-{type}-{slug}.md` with YAML frontmatter
-5. Generate sequentially, retry once on failure
+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)
 

skills/baoyu-article-illustrator/references/workflow.md

@@ -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`.
+**Every illustration MUST have a saved prompt file before generation begins. DO NOT skip this step.**
-- **Backup rule**: If prompt file exists, rename to `prompts/illustration-{slug}-backup-YYYYMMDD-HHMMSS.md`
+
+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

skills/baoyu-image-gen/SKILL.md

@@ -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
 
@@ -71,6 +71,12 @@ 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
@@ -80,7 +86,7 @@ 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) |
+| `--provider google\|openai\|dashscope\|replicate` | Force provider (default: google) |
 | `--model <id>`, `-m` | Model ID (`--ref` with OpenAI requires GPT Image model, e.g. `gpt-image-1.5`) |
 | `--ar <ratio>` | Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) |
 | `--size <WxH>` | Size (e.g., `1024x1024`) |
@@ -97,19 +103,46 @@ 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
+1. `--ref` provided + no `--provider` → auto-select Google first, then OpenAI, then Replicate
-2. `--provider` specified → use it (if `--ref`, must be `google` or `openai`)
+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
 

skills/baoyu-image-gen/references/config/preferences-schema.md

@@ -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)
 
@@ -23,6 +23,7 @@ default_model:
   google: null              # e.g., "gemini-3-pro-image-preview"
   openai: null              # e.g., "gpt-image-1.5"
   dashscope: null           # e.g., "z-image-turbo"
+  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"
 ---
 ```

skills/baoyu-image-gen/scripts/main.ts

@@ -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();
 

skills/baoyu-image-gen/scripts/providers/replicate.ts

@@ -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);
+}

skills/baoyu-image-gen/scripts/types.ts

@@ -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;
   };
 };

skills/baoyu-infographic/SKILL.md

@@ -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 |
+| `--layout` | 21 options (see Layout Gallery), default: bento-grid |
-| `--style` | 17 options (see Style Gallery), default: craft-handmade |
+| `--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/layouts/<layout>.md` - 21 layout definitions
-- `references/styles/<style>.md` - 17 style definitions
+- `references/styles/<style>.md` - 20 style definitions
 
 ## Extension Support
 

skills/baoyu-infographic/references/analysis-framework.md

@@ -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
 

skills/baoyu-infographic/references/layouts/dense-modules.md

@@ -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

skills/baoyu-infographic/references/styles/morandi-journal.md

@@ -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

skills/baoyu-infographic/references/styles/pop-laboratory.md

@@ -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

skills/baoyu-infographic/references/styles/retro-pop-grid.md

@@ -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

skills/baoyu-markdown-to-html/SKILL.md

@@ -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 |
 |-------|-------------|

skills/baoyu-post-to-wechat/SKILL.md

@@ -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 |
+2. **Execute conversion** (using the discovered skill), **always pass `--theme`**:
-|-------|-------------|
-| `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):
 
 ```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

skills/baoyu-post-to-wechat/scripts/wechat-browser.ts

@@ -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: `
+        expression: `JSON.stringify({ uploaded: document.querySelectorAll('.weui-desktop-upload__thumb, .pic_item, [class*=upload_thumb]').length })`,
-          const thumbs = document.querySelectorAll('.weui-desktop-upload__thumb, .pic_item, [class*=upload_thumb]');
-          JSON.stringify({ uploaded: thumbs.length });
-        `,
         returnByValue: true,
       }, { sessionId });
       const status = JSON.parse(uploadCheck.result.value);

skills/baoyu-post-to-x/SKILL.md

@@ -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
-npx -y bun ${SKILL_DIR}/scripts/x-browser.ts "Hello!" --image ./photo.png --submit  # Post
 ```
 
 **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 "Check this out!" --video ./clip.mp4
-npx -y bun ${SKILL_DIR}/scripts/x-video.ts "Amazing content" --video ./demo.mp4 --submit  # Post
 ```
 
 **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 "Great insight!"
-npx -y bun ${SKILL_DIR}/scripts/x-quote.ts https://x.com/user/status/123 "I agree!" --submit       # Post
 ```
 
 **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
-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 --cover ./cover.jpg
-npx -y bun ${SKILL_DIR}/scripts/x-article.ts article.md --submit               # Publish
 ```
 
 **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

skills/baoyu-post-to-x/scripts/bun.lock

@@ -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": {
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+
+    "@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=="],
+
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+
+    "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=="],
+
+    "esprima": ["esprima@4.0.1", "", { "bin": { "esparse": "./bin/esparse.js", "esvalidate": "./bin/esvalidate.js" } }, "sha512-eGuFFw7Upda+g4p+QHvnW0RyTX/SVeJBDM/gCtMARO0cLuT2HcEKnTPvhjV6aGeqrCB/sbNop0Kszm0jsaWU4A=="],
+
+    "extend": ["extend@3.0.2", "", {}, "sha512-fjquC59cD7CyW6urNXK0FBufkZcoiGG80wTuPujX590cB5Ttln20E2UB4S/WARVqhXffZl2LNgS+gQdPIIim/g=="],
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+    "js-yaml": ["js-yaml@3.14.2", "", { "dependencies": { "argparse": "^1.0.7", "esprima": "^4.0.0" }, "bin": { "js-yaml": "bin/js-yaml.js" } }, "sha512-PMSmkqxr106Xa156c2M265Z+FTrPl+oxd/rgOQy2tijQeK5TxQ43psO1ZCwhVOSdnn+RzkzlRz/eY4BgJBYVpg=="],
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+    "mdast-util-phrasing": ["mdast-util-phrasing@4.1.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "unist-util-is": "^6.0.0" } }, "sha512-TqICwyvJJpBwvGAMZjj4J2n0X8QWp21b9l0o7eXyVJ25YNWYbJDVIyD1bZXE6WtV6RmKJVYmQAKWa0zWOABz2w=="],
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+    "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=="],
+  }
+}

skills/baoyu-post-to-x/scripts/md-to-html.ts

@@ -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 } {
+type FrontmatterFields = Record<string, unknown>;
-  const match = content.match(/^---\r?\n([\s\S]*?)\r?\n---\r?\n([\s\S]*)$/);
-  if (!match) return { frontmatter: {}, body: content };
 
-  const frontmatter: Record<string, string> = {};
+function parseFrontmatter(content: string): { frontmatter: FrontmatterFields; body: string } {
-  const lines = match[1]!.split('\n');
+  try {
-  for (const line of lines) {
+    const parsed = frontMatter<FrontmatterFields>(content);
-    const colonIdx = line.indexOf(':');
+    return {
-    if (colonIdx > 0) {
+      frontmatter: parsed.attributes ?? {},
-      const key = line.slice(0, colonIdx).trim();
+      body: parsed.body,
-      let value = line.slice(colonIdx + 1).trim();
+    };
-      if ((value.startsWith('"') && value.endsWith('"')) || (value.startsWith("'") && value.endsWith("'"))) {
+  } catch {
-        value = value.slice(1, -1);
+    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 preprocessedMarkdown = preprocessCjkMarkdown(markdown);
-  const blocks: string[] = [];
+  const blockTokens = Lexer.lex(preprocessedMarkdown, { gfm: true, breaks: true });
-  let inCodeBlock = false;
-  let codeBlockContent: string[] = [];
-  let inList = false;
-  let listItems: string[] = [];
-  let listType: 'ul' | 'ol' = 'ul';
 
-  const flushList = () => {
+  const renderer: RendererObject = {
-    if (listItems.length > 0) {
+    heading({ depth, tokens }: Tokens.Heading): string {
-      const tag = listType === 'ol' ? 'ol' : 'ul';
+      if (depth === 1) {
-      blocks.push(`<${tag}>${listItems.map((item) => `<li>${item}</li>`).join('')}</${tag}>`);
+        return '';
-      listItems = [];
+      }
-      inList = false;
+      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 => {
+  const parser = new Marked({
-    // Bold
+    gfm: true,
-    text = text.replace(/\*\*(.+?)\*\*/g, '<strong>$1</strong>');
+    breaks: true,
-    text = text.replace(/__(.+?)__/g, '<strong>$1</strong>');
+  });
+  parser.use({ renderer });
 
-    // Italic
+  const rendered = parser.parse(preprocessedMarkdown);
-    text = text.replace(/\*(.+?)\*/g, '<em>$1</em>');
+  if (typeof rendered !== 'string') {
-    text = text.replace(/_(.+?)_/g, '<em>$1</em>');
+    throw new Error('Unexpected async markdown parse result');
-
-    // 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>`);
   }
 
-  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'),
+    html: rendered,
-    totalBlocks: blocks.length,
+    totalBlocks,
   };
 }
 
@@ -266,59 +287,58 @@ export async function parseMarkdown(
 
   const { frontmatter, body } = parseFrontmatter(content);
 
-  // Extract title from frontmatter, option, or first H1
+  let title = stripWrappingQuotes(options?.title ?? '') || pickFirstString(frontmatter, ['title']) || '';
-  let title = options?.title ?? frontmatter.title ?? '';
   if (!title) {
-    const h1Match = body.match(/^#\s+(.+)$/m);
+    title = extractTitleFromMarkdown(body);
-    if (h1Match) title = h1Match[1]!;
+  }
+  if (!title) {
+    title = path.basename(markdownPath, path.extname(markdownPath));
   }
 
-  // Extract cover image from frontmatter or option
+  let coverImagePath = stripWrappingQuotes(options?.coverImage ?? '') || pickFirstString(frontmatter, [
-  let coverImagePath = options?.coverImage ?? frontmatter.cover_image ?? frontmatter.coverImage ?? frontmatter.cover ?? frontmatter.image ?? frontmatter.featureImage ?? frontmatter.feature_image ?? null;
+    '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 });
-
-    images.push({ src, alt, blockIndex: -1 }); // blockIndex set later
     return placeholder;
   });
 
-  // Update block indices by finding placeholders in HTML
   const htmlLines = html.split('\n');
-  let blockIdx = 0;
+  for (let i = 0; i < images.length; i++) {
-  for (const line of htmlLines) {
+    const placeholder = `XIMGPH_${i + 1}`;
-    for (let i = 0; i < images.length; i++) {
+    for (let lineIndex = 0; lineIndex < htmlLines.length; lineIndex++) {
-      const placeholder = `XIMGPH_${i + 1}`;
+      const regex = new RegExp(`\\b${placeholder}\\b`);
-      if (line.includes(placeholder)) {
+      if (regex.test(htmlLines[lineIndex]!)) {
-        images[i]!.blockIndex = blockIdx;
+        images[i]!.blockIndex = lineIndex;
+        break;
       }
     }
-    blockIdx++;
   }
 
-  // Resolve image paths (download remote, resolve relative)
   const contentImages: ImageInfo[] = [];
-  let isFirstImage = true;
+  let firstImageAsCover: string | null = null;
-  let coverPlaceholder: 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 (i === 0 && !coverImagePath) {
-    if (isFirstImage && !coverImagePath) {
+      firstImageAsCover = localPath;
-      coverImagePath = localPath;
-      coverPlaceholder = `XIMGPH_${i + 1}`;
-      isFirstImage = false;
-      // Don't add to contentImages, it's the cover
-      continue;
     }
 
-    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
+  const finalHtml = html.replace(/\n{3,}/g, '\n\n').trim();
-  let finalHtml = html;
-  if (coverPlaceholder) {
-    // Remove the placeholder and its containing <p> tag
-    finalHtml = finalHtml.replace(new RegExp(`<p>${coverPlaceholder}</p>\\n?`, 'g'), '');
-  }
 
-  // Resolve cover image path
   let resolvedCoverImage: string | null = null;
   if (coverImagePath) {
     resolvedCoverImage = await resolveImagePath(coverImagePath, baseDir, tempDir);
+  } else if (firstImageAsCover) {
+    resolvedCoverImage = firstImageAsCover;
   }
 
   return {

skills/baoyu-post-to-x/scripts/package.json

@@ -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"
+  }
+}

skills/baoyu-xhs-images/SKILL.md

@@ -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
 

skills/baoyu-xhs-images/references/workflows/prompt-assembly.md

@@ -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.