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144 lines
4.7 KiB
Markdown
144 lines
4.7 KiB
Markdown
# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Project Overview
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Claude Code marketplace plugin providing AI-powered content generation skills. Skills use Gemini Web API (reverse-engineered) for text/image generation and Chrome CDP for browser automation.
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## Architecture
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```
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skills/
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├── baoyu-gemini-web/ # Core: Gemini API wrapper (text + image gen)
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├── baoyu-xhs-images/ # Xiaohongshu infographic series (1-10 images)
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├── baoyu-cover-image/ # Article cover images (2.35:1 aspect)
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├── baoyu-slide-deck/ # Presentation slides with outlines
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├── baoyu-article-illustrator/ # Smart illustration placement
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├── baoyu-post-to-x/ # X/Twitter posting automation
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└── baoyu-post-to-wechat/ # WeChat Official Account posting
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```
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Each skill contains:
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- `SKILL.md` - YAML front matter (name, description) + documentation
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- `scripts/` - TypeScript implementations
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- `prompts/system.md` - AI generation guidelines (optional)
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## Running Skills
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All scripts run via Bun (no build step):
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```bash
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npx -y bun skills/<skill>/scripts/main.ts [options]
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```
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Examples:
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```bash
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# Text generation
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npx -y bun skills/baoyu-gemini-web/scripts/main.ts "Hello"
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# Image generation
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npx -y bun skills/baoyu-gemini-web/scripts/main.ts --prompt "A cat" --image cat.png
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# From prompt files
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npx -y bun skills/baoyu-gemini-web/scripts/main.ts --promptfiles system.md content.md --image out.png
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```
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## Key Dependencies
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- **Bun**: TypeScript runtime (via `npx -y bun`)
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- **Chrome**: Required for `baoyu-gemini-web` auth and `baoyu-post-to-x` automation
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- **No npm packages**: Self-contained TypeScript, no external dependencies
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## Authentication
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`baoyu-gemini-web` uses browser cookies for Google auth:
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- First run opens Chrome for login
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- Cookies cached in data directory
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- Force refresh: `--login` flag
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## Plugin Configuration
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`.claude-plugin/marketplace.json` defines plugin metadata and skill paths. Version follows semver.
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## Adding New Skills
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**IMPORTANT**: All skills MUST use `baoyu-` prefix to avoid conflicts when users import this plugin.
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1. Create `skills/baoyu-<name>/SKILL.md` with YAML front matter
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- Directory name: `baoyu-<name>`
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- SKILL.md `name` field: `baoyu-<name>`
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2. Add TypeScript in `skills/baoyu-<name>/scripts/`
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3. Add prompt templates in `skills/baoyu-<name>/prompts/` if needed
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4. Register in `marketplace.json` plugins[0].skills array as `./skills/baoyu-<name>`
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5. **Add Script Directory section** to SKILL.md (see template below)
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### Script Directory Template
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Every SKILL.md with scripts MUST include this section after Usage:
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```markdown
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## Script Directory
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**Important**: All scripts are located in the `scripts/` subdirectory of this skill.
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**Agent Execution Instructions**:
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1. Determine this SKILL.md file's directory path as `SKILL_DIR`
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2. Script path = `${SKILL_DIR}/scripts/<script-name>.ts`
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3. Replace all `${SKILL_DIR}` in this document with the actual path
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**Script Reference**:
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| Script | Purpose |
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|--------|---------|
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| `scripts/main.ts` | Main entry point |
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| `scripts/other.ts` | Other functionality |
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```
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When referencing scripts in workflow sections, use `${SKILL_DIR}/scripts/<name>.ts` so agents can resolve the correct path.
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## Code Style
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- TypeScript throughout, no comments
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- Async/await patterns
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- Short variable names
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- Type-safe interfaces
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## Image Generation Guidelines
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Skills that require image generation MUST delegate to available image generation skills rather than implementing their own.
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### Image Generation Skill Selection
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1. Check available image generation skills in `skills/` directory
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2. Read each skill's SKILL.md to understand parameters and capabilities
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3. If multiple image generation skills available, ask user to choose preferred skill
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### Generation Flow Template
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Use this template when implementing image generation in skills:
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```markdown
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### Step N: Generate Images
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**Skill Selection**:
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1. Check available image generation skills (e.g., `baoyu-gemini-web`)
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2. Read selected skill's SKILL.md for parameter reference
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3. If multiple skills available, ask user to choose
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**Generation Flow**:
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1. Call selected image generation skill with:
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- Prompt file path (or inline prompt)
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- Output image path
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- Any skill-specific parameters (refer to skill's SKILL.md)
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2. Generate images sequentially (one at a time)
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3. After each image, output progress: "Generated X/N"
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4. On failure, auto-retry once before reporting error
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```
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### Best Practices
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- Always read the image generation skill's SKILL.md before calling
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- Pass parameters exactly as documented in the skill
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- Handle failures gracefully with retry logic
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- Provide clear progress feedback to user
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