baoyu-skills

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Skills shared by Baoyu for improving daily work efficiency with AI Agents (Claude Code, Codex, etc.).

• Node.js environment installed
• Ability to run npx bun commands

Tip: This repository contains 20+ skills. Install only the ones you actually need — bulk-installing every skill adds unnecessary context overhead for your AI agent on every run.

npx skills add jimliu/baoyu-skills

If you only need a subset of skills in one project, you do not need to install the full plugin. Codex scans .agents/skills inside a project, so copy or symlink each needed skill as a full directory:

<project>/.agents/skills/baoyu-cover-image/SKILL.md
<project>/.agents/skills/baoyu-article-illustrator/SKILL.md
<project>/.agents/skills/baoyu-post-to-wechat/SKILL.md

For a WeChat Official Account article workflow, the usual minimal set is:

• baoyu-cover-image
• baoyu-article-illustrator
• baoyu-post-to-wechat

You do not need to install baoyu-markdown-to-html separately. baoyu-post-to-wechat already includes the Markdown to WeChat-ready HTML conversion flow. Install baoyu-format-markdown only if you need to first turn raw text or drafts into structured Markdown articles with titles, summaries, headings, bold text, lists, and similar formatting.

Place WeChat API credentials according to the scope you want:

• User-level: ~/.baoyu-skills/.env
• Project-level: <project>/.baoyu-skills/.env

Project-level .env files are useful when credentials should apply only to the current project. Do not commit them to Git.

This repository now supports publishing each skills/baoyu-* directory as an individual ClawHub skill.

# Preview what would be published
./scripts/sync-clawhub.sh --dry-run

# Publish all changed skills from ./skills
./scripts/sync-clawhub.sh --all

ClawHub installs skills individually, not as one marketplace bundle. After publishing, users can install specific skills such as:

clawhub install baoyu-image-gen
clawhub install baoyu-markdown-to-html

Publishing to ClawHub releases the published skill under MIT-0, per ClawHub's registry rules.

Run the following command in the Agent:

/plugin marketplace add JimLiu/baoyu-skills

Option 1: Via Browse UI

1. Select Browse and install plugins
2. Select baoyu-skills
3. Select the baoyu-skills plugin
4. Select Install now

Option 2: Direct Install

# Install the marketplace's single plugin
/plugin install baoyu-skills@baoyu-skills

Option 3: Ask the Agent

Simply tell the Agent:

Please install Skills from github.com/JimLiu/baoyu-skills

The marketplace now exposes a single plugin so each skill is registered exactly once.

To update skills to the latest version:

1. Run /plugin in the Agent
2. Switch to Marketplaces tab (use arrow keys or Tab)
3. Select baoyu-skills
4. Choose Update marketplace

You can also Enable auto-update to get the latest versions automatically.

Skills are organized into three categories:

If you want a design-focused Agent Skill, check out JimLiu/baoyu-design. It is a separate project that runs Claude Design locally in Cursor, Claude Code, Codex, Claude Desktop, or any file-capable coding agent, producing polished UI mockups, interactive prototypes, wireframes, landing pages, dashboards, mobile apps, and slide decks as self-contained HTML.

npx skills add JimLiu/baoyu-design

Content generation and publishing skills.

Xiaohongshu image card series generator. Breaks down content into 1-10 cartoon-style image cards with Style × Layout system and optional palette override.

# Auto-select style and layout
/baoyu-xhs-images posts/ai-future/article.md

# Specify style
/baoyu-xhs-images posts/ai-future/article.md --style notion

# Specify layout
/baoyu-xhs-images posts/ai-future/article.md --layout dense

# Combine style and layout
/baoyu-xhs-images posts/ai-future/article.md --style notion --layout list

# Override palette
/baoyu-xhs-images posts/ai-future/article.md --style notion --palette macaron

# Direct content input
/baoyu-xhs-images 今日星座运势

# Non-interactive (skip all confirmations, for scheduled tasks)
/baoyu-xhs-images posts/ai-future/article.md --yes
/baoyu-xhs-images posts/ai-future/article.md --yes --preset knowledge-card

Styles (visual aesthetics): cute (default), fresh, warm, bold, minimal, retro, pop, notion, chalkboard, study-notes, screen-print, sketch-notes

Palettes (optional color override): macaron, warm, neon

Style Previews:

cute	fresh	warm
bold	minimal	retro
pop	notion	chalkboard

Layouts (information density):

Layout Previews:

sparse	balanced	dense
list	comparison	flow

Generate professional infographics with 21 layout types and 21 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics.

# Auto-recommend combinations based on content
/baoyu-infographic path/to/content.md

# Specify layout
/baoyu-infographic path/to/content.md --layout pyramid

# Specify style (default: craft-handmade)
/baoyu-infographic path/to/content.md --style technical-schematic

# Specify both
/baoyu-infographic path/to/content.md --layout funnel --style corporate-memphis

# With aspect ratio (named preset or custom W:H)
/baoyu-infographic path/to/content.md --aspect portrait
/baoyu-infographic path/to/content.md --aspect 3:4

Options:

Layouts (information structure):

Layout Previews:

bridge	circular-flow	comparison-table
do-dont	equation	feature-list
fishbone	funnel	grid-cards
iceberg	journey-path	layers-stack
mind-map	nested-circles	priority-quadrants
pyramid	scale-balance	timeline-horizontal
tree-hierarchy	venn

Styles (visual aesthetics):

Style Previews:

craft-handmade	claymation	kawaii
storybook-watercolor	chalkboard	cyberpunk-neon
bold-graphic	aged-academia	corporate-memphis
technical-schematic	origami	pixel-art
ui-wireframe	subway-map	ikea-manual
knolling	lego-brick

Generate publication-ready SVG diagrams from source material — flowcharts, sequence/protocol diagrams, structural/architecture diagrams, and illustrative intuition diagrams. Analyzes input material to recommend diagram type(s) and splitting strategy, confirms the plan once, then generates all diagrams. Claude writes real SVG code directly following a cohesive design system. Output is self-contained .svg files with embedded styles and auto dark-mode.

# Topic string — skill analyzes and proposes a plan
/baoyu-diagram "how JWT authentication works"
/baoyu-diagram "Kubernetes architecture" --type structural
/baoyu-diagram "OAuth 2.0 flow"          --type sequence

# File path — skill reads, analyzes, and proposes a plan
/baoyu-diagram path/to/article.md

# Language and output path
/baoyu-diagram "微服务架构" --lang zh
/baoyu-diagram "build pipeline" --out docs/build-pipeline.svg

Options:

Diagram types:

Not an image-generation skill — no LLM image model is called. Claude writes the SVG by hand with hand-computed layout math, so every diagram honors the design system. Embedded <style> block with @media (prefers-color-scheme: dark) means the same file renders correctly in both light and dark mode anywhere it's embedded.

Generate cover images for articles with 5 dimensions: Type × Palette × Rendering × Text × Mood. Combines 11 color palettes with 7 rendering styles for 77 unique combinations.

# Auto-select all dimensions based on content
/baoyu-cover-image path/to/article.md

# Quick mode: skip confirmation, use auto-selection
/baoyu-cover-image path/to/article.md --quick

# Specify dimensions (5D system)
/baoyu-cover-image path/to/article.md --type conceptual --palette cool --rendering digital
/baoyu-cover-image path/to/article.md --text title-subtitle --mood bold

# Style presets (backward-compatible shorthand)
/baoyu-cover-image path/to/article.md --style blueprint

# Specify aspect ratio (default: 16:9)
/baoyu-cover-image path/to/article.md --aspect 2.35:1

# Visual only (no title text)
/baoyu-cover-image path/to/article.md --no-title

Five Dimensions:

• Type: hero, conceptual, typography, metaphor, scene, minimal
• Palette: warm, elegant, cool, dark, earth, vivid, pastel, mono, retro, duotone, macaron
• Rendering: flat-vector, hand-drawn, painterly, digital, pixel, chalk, screen-print
• Text: none, title-only (default), title-subtitle, text-rich
• Mood: subtle, balanced (default), bold

Generate professional slide deck images from content. Creates comprehensive outlines with style instructions, then generates individual slide images.

# From markdown file
/baoyu-slide-deck path/to/article.md

# With style and audience
/baoyu-slide-deck path/to/article.md --style corporate
/baoyu-slide-deck path/to/article.md --audience executives

# Target slide count
/baoyu-slide-deck path/to/article.md --slides 15

# Outline only (no image generation)
/baoyu-slide-deck path/to/article.md --outline-only

# With language
/baoyu-slide-deck path/to/article.md --lang zh

Options:

Style System:

Styles are built from 4 dimensions: Texture × Mood × Typography × Density

Presets (pre-configured dimension combinations):

Style Previews:

blueprint	chalkboard	bold-editorial
corporate	dark-atmospheric	editorial-infographic
fantasy-animation	intuition-machine	minimal
notion	pixel-art	scientific
sketch-notes	vector-illustration	vintage
watercolor

After generation, slides are automatically merged into .pptx and .pdf files for easy sharing.

Knowledge comic creator with flexible art style × tone combinations. Creates original educational comics with detailed panel layouts and sequential image generation.

# From source material (auto-selects art + tone)
/baoyu-comic posts/turing-story/source.md

# Specify art style and tone
/baoyu-comic posts/turing-story/source.md --art manga --tone warm
/baoyu-comic posts/turing-story/source.md --art ink-brush --tone dramatic

# Use preset (includes special rules)
/baoyu-comic posts/turing-story/source.md --style ohmsha
/baoyu-comic posts/turing-story/source.md --style wuxia

# Specify layout and aspect ratio
/baoyu-comic posts/turing-story/source.md --layout cinematic
/baoyu-comic posts/turing-story/source.md --aspect 16:9

# Specify language
/baoyu-comic posts/turing-story/source.md --lang zh

# Direct content input
/baoyu-comic "The story of Alan Turing and the birth of computer science"

Options:

Art Styles (rendering technique):

Tones (mood/atmosphere):

Presets (art + tone + special rules):

Layouts (panel arrangement):

Layout Previews:

standard	cinematic	dense
splash	mixed	webtoon

Smart article illustration skill with Type × Style × Palette three-dimension approach. Analyzes article structure, identifies positions requiring visual aids, and generates illustrations.

# Auto-select type and style based on content
/baoyu-article-illustrator path/to/article.md

# Specify type and style
/baoyu-article-illustrator path/to/article.md --type flowchart --style notion

# With palette override
/baoyu-article-illustrator path/to/article.md --style vector-illustration --palette macaron

Types (information structure):

Styles (rendering approach):

Palettes (optional color override):

Style Previews:

notion	elegant	warm
minimal	blueprint	watercolor
editorial	scientific

Post content and articles to X (Twitter). Supports regular posts with images and X Articles (long-form Markdown). Uses real Chrome with CDP to bypass anti-automation.

Plain text input is treated as a regular post. Markdown files are treated as X Articles. Scripts fill content into the browser, and the user reviews and publishes manually.

# Post with text
/baoyu-post-to-x "Hello from AI Agent!"

# Post with images
/baoyu-post-to-x "Check this out" --image photo.png

# Post X Article
/baoyu-post-to-x --article path/to/article.md

Post content to WeChat Official Account (微信公众号). Two modes available:

Image-Text (贴图) - Multiple images with short title/content:

/baoyu-post-to-wechat 贴图 --markdown article.md --images ./photos/
/baoyu-post-to-wechat 贴图 --markdown article.md --image img1.png --image img2.png --image img3.png
/baoyu-post-to-wechat 贴图 --title "标题" --content "内容" --image img1.png --submit

Article (文章) - Full markdown/HTML with rich formatting:

/baoyu-post-to-wechat 文章 --markdown article.md
/baoyu-post-to-wechat 文章 --markdown article.md --theme grace
/baoyu-post-to-wechat 文章 --html article.html

Publishing Methods:

API Configuration (for faster publishing):

# Add to .baoyu-skills/.env (project-level) or ~/.baoyu-skills/.env (user-level)
WECHAT_APP_ID=your_app_id
WECHAT_APP_SECRET=your_app_secret

To obtain credentials:

1. Visit https://developers.weixin.qq.com/platform/
2. Go to: 我的业务 → 公众号 → 开发密钥
3. Create development key and copy AppID/AppSecret
4. Add your machine's IP to the whitelist

Browser Method (no API setup needed): Requires Google Chrome. First run opens browser for QR code login (session preserved).

Remote API Method (for when WeChat's IP allowlist excludes your local machine): tunnels WeChat API calls through an SSH SOCKS5 dynamic port forward to a server whose IP is on the allowlist. No files are written to the remote host and AppSecret never leaves the local process. Add to your EXTEND.md:

# Optional: only set when WeChat's IP allowlist excludes your local machine
remote_publish_host: server.example.com
remote_publish_user: deploy
remote_publish_identity_file: ~/.ssh/id_ed25519

Then publish with --remote (or set default_publish_method: remote-api). Authentication is SSH key only; only the typed remote_publish_* keys are honored.

Multi-Account Support: Manage multiple WeChat Official Accounts via EXTEND.md:

mkdir -p .baoyu-skills/baoyu-post-to-wechat

Create .baoyu-skills/baoyu-post-to-wechat/EXTEND.md:

# Global settings (shared across all accounts)
default_theme: default
default_color: blue

# Account list
accounts:
  - name: My Tech Blog
    alias: tech-blog
    default: false
    default_publish_method: api
    default_author: Author Name
    need_open_comment: 1
    only_fans_can_comment: 0
    app_id: your_wechat_app_id
    app_secret: your_wechat_app_secret
  - name: AI Newsletter
    alias: ai-news
    default_publish_method: browser
    default_author: AI Newsletter
    need_open_comment: 1
    only_fans_can_comment: 0

Each account gets an isolated Chrome profile for independent login sessions (browser method). API credentials can be set inline in EXTEND.md or via .env with alias-prefixed keys (e.g., WECHAT_TECH_BLOG_APP_ID).

Post content to Weibo (微博). Supports regular posts with text, images, and videos, and headline articles (头条文章) with Markdown input. Uses real Chrome with CDP to bypass anti-automation.

Regular Posts - Text + images/videos (max 18 files):

# Post with text
/baoyu-post-to-weibo "Hello Weibo!"

# Post with images
/baoyu-post-to-weibo "Check this out" --image photo.png

# Post with video
/baoyu-post-to-weibo "Watch this" --video clip.mp4

Headline Articles (头条文章) - Long-form Markdown:

# Publish article
/baoyu-post-to-weibo --article article.md

# With cover image
/baoyu-post-to-weibo --article article.md --cover cover.jpg

Article Options:

Note: Scripts fill content into the browser. User reviews and publishes manually. First run requires manual Weibo login (session persists).

AI-powered generation backends.

AI SDK-based image generation using OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope (Aliyun Tongyi Wanxiang), MiniMax, Jimeng (即梦), Seedream (豆包), and Replicate APIs. Supports text-to-image, reference images, aspect ratios, custom sizes, batch generation, and quality presets.

# Basic generation (auto-detect provider)
/baoyu-image-gen --prompt "A cute cat" --image cat.png

# With aspect ratio
/baoyu-image-gen --prompt "A landscape" --image landscape.png --ar 16:9

# High quality (2k)
/baoyu-image-gen --prompt "A banner" --image banner.png --quality 2k

# Specific provider
/baoyu-image-gen --prompt "A cat" --image cat.png --provider openai --model gpt-image-2

# Azure OpenAI (model = deployment name)
/baoyu-image-gen --prompt "A cat" --image cat.png --provider azure --model gpt-image-2

# OpenRouter
/baoyu-image-gen --prompt "A cat" --image cat.png --provider openrouter

# OpenRouter with reference images
/baoyu-image-gen --prompt "Make it blue" --image out.png --provider openrouter --model google/gemini-3.1-flash-image --ref source.png

# DashScope (Aliyun Tongyi Wanxiang)
/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider dashscope

# DashScope with custom size
/baoyu-image-gen --prompt "为咖啡品牌设计一张 21:9 横幅海报，包含清晰中文标题" --image banner.png --provider dashscope --model qwen-image-2.0-pro --size 2048x872

# Z.AI GLM-Image
/baoyu-image-gen --prompt "一张带清晰中文标题的科技海报" --image out.png --provider zai

# MiniMax
/baoyu-image-gen --prompt "A fashion editorial portrait by a bright studio window" --image out.jpg --provider minimax

# MiniMax with subject reference
/baoyu-image-gen --prompt "A girl stands by the library window, cinematic lighting" --image out.jpg --provider minimax --model image-01 --ref portrait.png --ar 16:9

# Replicate (default: google/nano-banana-2)
/baoyu-image-gen --prompt "A cat" --image cat.png --provider replicate

# Replicate Seedream 4.5
/baoyu-image-gen --prompt "A studio portrait" --image portrait.png --provider replicate --model bytedance/seedream-4.5 --ar 3:2

# Replicate Wan 2.7 Image Pro
/baoyu-image-gen --prompt "A concept frame" --image frame.png --provider replicate --model wan-video/wan-2.7-image-pro --size 2048x1152

# Jimeng (即梦)
/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider jimeng

# Seedream (豆包)
/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider seedream

# With reference images (Google, OpenAI, Azure OpenAI, OpenRouter, Replicate, MiniMax, or Seedream 5.0/4.5/4.0)
/baoyu-image-gen --prompt "Make it blue" --image out.png --ref source.png

# Batch mode
/baoyu-image-gen --batchfile batch.json --jobs 4 --json

Options:

Environment Variables (see Environment Configuration for setup):

Provider Notes:

• Azure OpenAI: --model means Azure deployment name, not the underlying model family.
• DashScope: qwen-image-2.0-pro is the recommended default for custom --size, 21:9, and strong Chinese/English text rendering.
• Z.AI: glm-image is recommended for posters, diagrams, and text-heavy Chinese/English images. Reference images are not supported.
• MiniMax: image-01 supports documented custom width / height; image-01-live is lower latency and works best with --ar.
• MiniMax reference images are sent as subject_reference; the current API is specialized toward character / portrait consistency.
• Jimeng does not support reference images.
• Seedream reference images are supported by Seedream 5.0 / 4.5 / 4.0, not Seedream 3.0.
• Replicate defaults to google/nano-banana-2. baoyu-image-gen only enables Replicate advanced options for google/nano-banana*, bytedance/seedream-4.5, bytedance/seedream-5-lite, wan-video/wan-2.7-image, and wan-video/wan-2.7-image-pro.
• Replicate currently saves exactly one output image per request. --n > 1 is blocked locally instead of silently dropping extra results.
• Replicate model behavior is family-specific: nano-banana uses --quality / --ar, Seedream uses validated --size / --ar, and Wan uses validated --size (with --ar converted locally to a concrete size).

Provider Auto-Selection:

1. If --provider is specified → use it
2. If --ref is provided and no provider is specified → try Google, then OpenAI, Azure, OpenRouter, Replicate, Seedream, MiniMax, and finally Agnes
3. If only one API key is available → use that provider
4. If multiple providers are available → default to Google, then OpenAI, Azure, OpenRouter, DashScope, Z.AI, MiniMax, Replicate, Jimeng, Seedream, Agnes

Interacts with Gemini Web to generate text and images.

Text Generation:

/baoyu-danger-gemini-web "Hello, Gemini"
/baoyu-danger-gemini-web --prompt "Explain quantum computing"

Image Generation:

/baoyu-danger-gemini-web --prompt "A cute cat" --image cat.png
/baoyu-danger-gemini-web --promptfiles system.md content.md --image out.png

Utility tools for content processing.

Download YouTube video transcripts/subtitles and cover images. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting.

# Default: markdown with timestamps
/baoyu-youtube-transcript https://www.youtube.com/watch?v=VIDEO_ID

# Specify languages (priority order)
/baoyu-youtube-transcript https://youtu.be/VIDEO_ID --languages zh,en,ja

# With chapters and speaker identification
/baoyu-youtube-transcript https://youtu.be/VIDEO_ID --chapters --speakers

# SRT subtitle format
/baoyu-youtube-transcript https://youtu.be/VIDEO_ID --format srt

# List available transcripts
/baoyu-youtube-transcript https://youtu.be/VIDEO_ID --list

Options:

Fetch any URL via Chrome CDP and convert to clean markdown. Saves rendered HTML snapshot alongside the markdown, and automatically falls back to a legacy extractor when Defuddle fails.

# Auto mode (default) - capture when page loads
/baoyu-url-to-markdown https://example.com/article

# Wait mode - for login-required pages
/baoyu-url-to-markdown https://example.com/private --wait

# Save to specific file
/baoyu-url-to-markdown https://example.com/article -o output.md

Capture Modes:

Options:

Converts X (Twitter) content to markdown format. Supports tweet threads and X Articles.

# Convert tweet to markdown
/baoyu-danger-x-to-markdown https://x.com/username/status/123456

# Save to specific file
/baoyu-danger-x-to-markdown https://x.com/username/status/123456 -o output.md

# JSON output
/baoyu-danger-x-to-markdown https://x.com/username/status/123456 --json

# Download media (images/videos) to local files
/baoyu-danger-x-to-markdown https://x.com/username/status/123456 --download-media

Supported URLs:

• https://x.com/<user>/status/<id>
• https://twitter.com/<user>/status/<id>
• https://x.com/i/article/<id>

Authentication: Uses environment variables (X_AUTH_TOKEN, X_CT0) or Chrome login for cookie-based auth.

Compress images to reduce file size while maintaining quality.

/baoyu-compress-image path/to/image.png
/baoyu-compress-image path/to/images/ --quality 80

Format plain text or markdown files with proper frontmatter, titles, summaries, headings, bold, lists, and code blocks.

# Format a markdown file
/baoyu-format-markdown path/to/article.md

# Format with specific output
/baoyu-format-markdown path/to/draft.md

Workflow:

1. Read source file and analyze content structure
2. Check/create YAML frontmatter (title, slug, summary, coverImage)
3. Handle title: use existing, extract from H1, or generate candidates
4. Apply formatting: headings, bold, lists, code blocks, quotes
5. Save to {filename}-formatted.md
6. Run typography script: ASCII→fullwidth quotes, CJK spacing, autocorrect

Frontmatter Fields:

Formatting Rules:

Convert markdown files into styled HTML with WeChat-compatible themes, syntax highlighting, and optional bottom citations for external links.

# Basic conversion
/baoyu-markdown-to-html article.md

# Theme + color
/baoyu-markdown-to-html article.md --theme grace --color red

# Convert ordinary external links to bottom citations
/baoyu-markdown-to-html article.md --cite

Translate articles and documents between languages with three modes: quick (direct), normal (analysis-informed), and refined (full publication-quality workflow with review and polish).

# Normal mode (default) - analyze then translate
/translate article.md --to zh-CN

# Quick mode - direct translation
/translate article.md --mode quick --to ja

# Refined mode - full workflow with review and polish
/translate article.md --mode refined --to zh-CN

# Translate a URL
/translate https://example.com/article --to zh-CN

# Specify audience
/translate article.md --to zh-CN --audience technical

# Specify style
/translate article.md --to zh-CN --style humorous

# With additional glossary
/translate article.md --to zh-CN --glossary my-terms.md

Options:

Modes:

After normal mode completes, you can reply "继续润色" or "refine" to continue with review and polish steps.

Audience Presets:

Custom audience descriptions are also accepted, e.g., --audience "AI-interested general readers".

Style Presets:

Custom style descriptions are also accepted, e.g., --style "poetic and lyrical".

Features:

• Custom glossaries via EXTEND.md with built-in EN→ZH glossary
• Audience-aware translation with adjustable annotation depth
• Automatic chunking for long documents (4000+ words) with parallel subagent translation
• Figurative language interpreted by meaning, not word-for-word
• Translator's notes for cultural/domain-specific references
• Output directory with all intermediate files preserved

Summarize WeChat group chat highlights into a structured digest. Extracts topics, quotes, and stats from group messages using wx-cli. Maintains per-group history, per-user profiles, and per-group fact memory across runs. Supports normal and roast (毒舌) versions, and answers @bot questions raised in the chat.

# Summarize a group's recent messages
/baoyu-wechat-summary 相亲相爱一家人 最近 1 天

# Weekly summary
/baoyu-wechat-summary AI 技术群 最近 7 天

# Incremental (since last digest)
/baoyu-wechat-summary 相亲相爱一家人

# Roast version
/baoyu-wechat-summary 相亲相爱一家人 最近 3 天 毒舌版

Requirements:

• wx-cli installed (npm install -g @jackwener/wx-cli)
• WeChat 4.x running and logged in on macOS

Features:

• Topic extraction with attribution and quotes
• Message leaderboard and per-user profiles
• Per-group fact memory: corrections confirmed in chat persist across digests (with injection guardrails)
• Incremental mode (picks up where last digest left off)
• Multi-day range splitting for large batches
• Normal and roast (毒舌) digest versions
• Profile backfill from historical digests

Extract resources and JavaScript from any installed Electron app's app.asar. When .js.map files embed sourcesContent, restores the original source tree (TypeScript/JSX included); otherwise formats the minified JS/CSS with Prettier in place. Always skips node_modules. Works on macOS and Windows; pass --asar <path> on other platforms.

# Extract by app name (default output: ~/Downloads/Codex-electron-extract/)
/baoyu-electron-extract Codex

# Extract by absolute path (.app bundle, install dir, or .asar file)
/baoyu-electron-extract "/Applications/Visual Studio Code.app"
/baoyu-electron-extract --asar /Applications/Codex.app/Contents/Resources/app.asar Codex

# Custom output directory
/baoyu-electron-extract Codex --output ~/work/codex-source

# Preview discovery without writing anything
/baoyu-electron-extract Codex --dry-run

# Overwrite an existing output directory
/baoyu-electron-extract Codex --force

Options:

Output layout: extract-report.json (counts, warnings, paths), extracted/ (raw asar, formatted in place when no map), extracted.unpacked/ (native modules if present), and restored/ (rebuilt source tree from .js.map files).

Some skills require API keys or custom configuration. Environment variables can be set in .env files:

Load Priority (higher priority overrides lower):

1. CLI environment variables (e.g., OPENAI_API_KEY=xxx /baoyu-image-gen ...)
2. process.env (system environment)
3. <cwd>/.baoyu-skills/.env (project-level)
4. ~/.baoyu-skills/.env (user-level)

Setup:

# Create user-level config directory
mkdir -p ~/.baoyu-skills

# Create .env file
cat > ~/.baoyu-skills/.env << 'EOF'
# OpenAI
OPENAI_API_KEY=sk-xxx
OPENAI_IMAGE_MODEL=gpt-image-2
# OPENAI_BASE_URL=https://api.openai.com/v1
# OPENAI_IMAGE_USE_CHAT=false

# Azure OpenAI
AZURE_OPENAI_API_KEY=xxx
AZURE_OPENAI_BASE_URL=https://your-resource.openai.azure.com
AZURE_OPENAI_DEPLOYMENT=gpt-image-2
# AZURE_API_VERSION=2025-04-01-preview

# OpenRouter
OPENROUTER_API_KEY=sk-or-xxx
OPENROUTER_IMAGE_MODEL=google/gemini-3.1-flash-image
# OPENROUTER_BASE_URL=https://openrouter.ai/api/v1
# OPENROUTER_HTTP_REFERER=https://your-app.example.com
# OPENROUTER_TITLE=Your App Name

# Google
GOOGLE_API_KEY=xxx
GOOGLE_IMAGE_MODEL=gemini-3-pro-image
# GOOGLE_BASE_URL=https://generativelanguage.googleapis.com/v1beta

# DashScope (Aliyun Tongyi Wanxiang)
DASHSCOPE_API_KEY=sk-xxx
DASHSCOPE_IMAGE_MODEL=qwen-image-2.0-pro
# DASHSCOPE_BASE_URL=https://dashscope.aliyuncs.com/api/v1

# Z.AI
ZAI_API_KEY=xxx
ZAI_IMAGE_MODEL=glm-image
# ZAI_BASE_URL=https://api.z.ai/api/paas/v4

# MiniMax
MINIMAX_API_KEY=xxx
MINIMAX_IMAGE_MODEL=image-01
# MINIMAX_BASE_URL=https://api.minimaxi.com

# Replicate
REPLICATE_API_TOKEN=r8_xxx
REPLICATE_IMAGE_MODEL=google/nano-banana-2
# REPLICATE_BASE_URL=https://api.replicate.com

# Jimeng (即梦)
JIMENG_ACCESS_KEY_ID=xxx
JIMENG_SECRET_ACCESS_KEY=xxx
JIMENG_IMAGE_MODEL=jimeng_t2i_v40
# JIMENG_BASE_URL=https://visual.volcengineapi.com
# JIMENG_REGION=cn-north-1

# Seedream (豆包)
ARK_API_KEY=xxx
SEEDREAM_IMAGE_MODEL=doubao-seedream-5-0-260128
# SEEDREAM_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
EOF

Project-level config (for team sharing):

mkdir -p .baoyu-skills
# Add .baoyu-skills/.env to .gitignore to avoid committing secrets
echo ".baoyu-skills/.env" >> .gitignore

All skills support customization via EXTEND.md files. Create an extension file to override default styles, add custom configurations, or define your own presets.

Extension paths (checked in priority order):

1. .baoyu-skills/<skill-name>/EXTEND.md - Project-level (for team/project-specific settings)
2. ~/.baoyu-skills/<skill-name>/EXTEND.md - User-level (for personal preferences)

Example: To customize baoyu-cover-image with your brand colors:

mkdir -p .baoyu-skills/baoyu-cover-image

Then create .baoyu-skills/baoyu-cover-image/EXTEND.md:

## Custom Palettes

### corporate-tech
- Primary colors: #1a73e8, #4A90D9
- Background: #F5F7FA
- Accent colors: #00B4D8, #48CAE4
- Decorative hints: Clean lines, subtle gradients
- Best for: SaaS, enterprise, technical

The extension content will be loaded before skill execution and override defaults.

This skill uses the Gemini Web API (reverse-engineered).

Warning: This project uses unofficial API access via browser cookies. Use at your own risk.

• First run opens a browser to authenticate with Google
• Cookies are cached for subsequent runs
• No guarantees on API stability or availability

Supported browsers (auto-detected): Google Chrome, Chrome Canary/Beta, Chromium, Microsoft Edge

Proxy configuration: If you need a proxy to access Google services (e.g., in China), set environment variables inline:

HTTP_PROXY=http://127.0.0.1:7890 HTTPS_PROXY=http://127.0.0.1:7890 /baoyu-danger-gemini-web "Hello"

This skill uses a reverse-engineered X (Twitter) API.

Warning: This is NOT an official API. Use at your own risk.

• May break without notice if X changes their API
• Account restrictions possible if API usage detected
• First use requires consent acknowledgment
• Authentication via environment variables or Chrome login

This project was inspired by and builds upon the following open source projects:

• x-article-publisher-skill by @wshuyi — Inspiration for the X article publishing skill
• doocs/md by @doocs — Core implementation logic for Markdown to HTML conversion
• High-density Infographic Prompt by AJ@WaytoAGI — Inspiration for the infographic skill
• qiaomu-mondo-poster-design by @joeseesun（乔木） — Inspiration for the Mondo style
• architecture-diagram-generator by @Cocoon-AI — Inspiration for the diagram skill's design system

Unless otherwise noted, this repository is licensed under the MIT License.

Published ClawHub skills follow ClawHub registry rules and are distributed under MIT-0. Third-party code and assets retain their original licenses where noted.