feat: add distribution files for Smithery, GitHub Action, and Claude Code Plugin
- Add Claude Code Plugin: plugin.json, .mcp.json, 3 slash commands, skill-builder agent skill - Add GitHub Action: composite action.yml with 6 inputs/2 outputs, comprehensive README - Add Smithery: publishing guide with namespace yusufkaraaslan/skill-seekers created - Add render-mcp.yaml for MCP server deployment on Render - Fix Dockerfile.mcp: --transport flag (nonexistent) → --http, add dynamic PORT support - Update AGENTS.md to v3.3.0 with corrected test count and expanded CI section - Allow distribution/claude-plugin/.mcp.json in .gitignore
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11
distribution/claude-plugin/.claude-plugin/plugin.json
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distribution/claude-plugin/.claude-plugin/plugin.json
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{
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"name": "skill-seekers",
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"description": "Transform 17 source types (docs, GitHub, PDFs, videos, Jupyter, Confluence, Notion, Slack, and more) into AI-ready skills and RAG knowledge for 16+ LLM platforms.",
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"version": "3.3.0",
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"author": {
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"name": "Yusuf Karaaslan"
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},
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"homepage": "https://github.com/yusufkaraaslan/Skill_Seekers",
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"repository": "https://github.com/yusufkaraaslan/Skill_Seekers",
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"license": "MIT"
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}
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distribution/claude-plugin/.mcp.json
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distribution/claude-plugin/.mcp.json
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{
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"skill-seekers": {
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"command": "python",
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"args": ["-m", "skill_seekers.mcp.server_fastmcp"]
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}
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}
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93
distribution/claude-plugin/README.md
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distribution/claude-plugin/README.md
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# Skill Seekers — Claude Code Plugin
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Transform 17 source types into AI-ready skills and RAG knowledge, directly from Claude Code.
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## Installation
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### From the Official Plugin Directory
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```
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/plugin install skill-seekers@claude-plugin-directory
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```
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Or browse for it in `/plugin > Discover`.
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### Local Installation (for development)
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```bash
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claude --plugin-dir ./path/to/skill-seekers-plugin
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```
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### Prerequisites
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The plugin requires `skill-seekers` to be installed:
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```bash
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pip install skill-seekers[mcp]
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```
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## What's Included
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### MCP Server (35 tools)
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The plugin bundles the Skill Seekers MCP server providing tools for:
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- Scraping documentation, GitHub repos, PDFs, videos, and 13 other source types
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- Packaging skills for 16+ LLM platforms
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- Exporting to vector databases (Weaviate, Chroma, FAISS, Qdrant)
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- Managing configs, workflows, and sources
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### Slash Commands
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| Command | Description |
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|---------|-------------|
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| `/skill-seekers:create-skill <source>` | Create a skill from any source (auto-detects type) |
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| `/skill-seekers:sync-config <config>` | Sync config URLs against live docs |
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| `/skill-seekers:install-skill <source>` | End-to-end: fetch, scrape, enhance, package, install |
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### Agent Skill
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The **skill-builder** skill is automatically available to Claude. It detects source types and uses the appropriate MCP tools to build skills autonomously.
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## Usage Examples
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```
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# Create a skill from a documentation site
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/skill-seekers:create-skill https://react.dev
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# Create from a GitHub repo, targeting LangChain
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/skill-seekers:create-skill pallets/flask --target langchain
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# Full install workflow with AI enhancement
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/skill-seekers:install-skill https://fastapi.tiangolo.com --enhance
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# Sync an existing config
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/skill-seekers:sync-config react
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```
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Or just ask Claude naturally:
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> "Create an AI skill from the React documentation"
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> "Scrape the Flask GitHub repo and package it for OpenAI"
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> "Export my skill to a Chroma vector database"
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The skill-builder agent skill will automatically detect the intent and use the right tools.
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## Remote MCP Alternative
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By default, the plugin runs the MCP server locally via `python -m skill_seekers.mcp.server_fastmcp`. To use a remote server instead, edit `.mcp.json`:
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```json
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{
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"skill-seekers": {
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"type": "http",
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"url": "https://your-hosted-server.com/mcp"
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}
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}
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```
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## Supported Source Types
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Documentation (web), GitHub repos, PDFs, Word docs, EPUBs, videos, local codebases, Jupyter notebooks, HTML files, OpenAPI specs, AsciiDoc, PowerPoint, RSS/Atom feeds, man pages, Confluence, Notion, Slack/Discord exports.
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## License
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MIT — https://github.com/yusufkaraaslan/Skill_Seekers
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52
distribution/claude-plugin/commands/create-skill.md
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distribution/claude-plugin/commands/create-skill.md
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---
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description: Create an AI skill from any source (URL, repo, PDF, video, notebook, etc.)
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---
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# Create Skill
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Create an AI-ready skill from a source. The source type is auto-detected.
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## Usage
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```
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/skill-seekers:create-skill <source> [--target <platform>] [--output <dir>]
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```
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## Instructions
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When the user provides a source via `$ARGUMENTS`, run the `skill-seekers create` command to generate a skill.
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1. Parse the arguments: extract the source (first argument) and any flags.
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2. If no `--target` is specified, default to `claude`.
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3. If no `--output` is specified, default to `./output`.
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4. Run the command:
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```bash
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skill-seekers create "$SOURCE" --target "$TARGET" --output "$OUTPUT"
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```
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5. After completion, read the generated `SKILL.md` and summarize what was created.
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## Source Types (auto-detected)
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- **URL** (https://...) → Documentation scraping
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- **owner/repo** or github.com URL → GitHub repo analysis
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- **file.pdf** → PDF extraction
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- **file.ipynb** → Jupyter notebook
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- **file.docx** → Word document
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- **file.epub** → EPUB book
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- **YouTube/Vimeo URL** → Video transcript
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- **./directory** → Local codebase analysis
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- **file.yaml** with OpenAPI → API spec
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- **file.pptx** → PowerPoint
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- **file.adoc** → AsciiDoc
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- **file.html** → HTML page
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- **file.rss** → RSS/Atom feed
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- **cmd.1** → Man page
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## Examples
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```
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/skill-seekers:create-skill https://react.dev
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/skill-seekers:create-skill pallets/flask --target langchain
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/skill-seekers:create-skill ./docs/api.pdf --target openai
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/skill-seekers:create-skill https://youtube.com/watch?v=abc123
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```
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44
distribution/claude-plugin/commands/install-skill.md
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distribution/claude-plugin/commands/install-skill.md
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---
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description: One-command skill installation — fetch config, scrape, enhance, package, and install
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---
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# Install Skill
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Complete end-to-end workflow: fetch a config (from preset or URL), scrape the source, optionally enhance with AI, package for the target platform, and install.
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## Usage
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```
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/skill-seekers:install-skill <config-or-source> [--target <platform>] [--enhance]
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```
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## Instructions
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When the user provides a source or config via `$ARGUMENTS`:
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1. Determine if the argument is a config preset name, config file path, or a direct source.
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2. Use the `install_skill` MCP tool if available, or run the equivalent CLI commands:
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```bash
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# For preset configs
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skill-seekers install --config "$CONFIG" --target "$TARGET"
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# For direct sources
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skill-seekers create "$SOURCE" --target "$TARGET"
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```
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3. If `--enhance` is specified, run enhancement after initial scraping:
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```bash
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skill-seekers enhance "$SKILL_DIR" --target "$TARGET"
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```
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4. Report the final skill location and how to use it.
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## Target Platforms
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`claude`, `openai`, `gemini`, `langchain`, `llamaindex`, `haystack`, `cursor`, `windsurf`, `continue`, `cline`, `markdown`
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## Examples
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```
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/skill-seekers:install-skill react --target claude
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/skill-seekers:install-skill https://fastapi.tiangolo.com --target langchain --enhance
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/skill-seekers:install-skill pallets/flask
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```
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distribution/claude-plugin/commands/sync-config.md
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distribution/claude-plugin/commands/sync-config.md
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---
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description: Sync a scraping config's URLs against the live documentation site
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---
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# Sync Config
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Synchronize a Skill Seekers config file with the current state of a documentation site. Detects new pages, removed pages, and URL changes.
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## Usage
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```
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/skill-seekers:sync-config <config-path-or-name>
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```
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## Instructions
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When the user provides a config path or preset name via `$ARGUMENTS`:
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1. If it's a preset name (e.g., `react`, `godot`), look for it in the `configs/` directory or fetch from the API.
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2. Run the sync command:
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```bash
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skill-seekers sync-config "$CONFIG"
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```
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3. Report what changed: new URLs found, removed URLs, and any conflicts.
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4. Ask the user if they want to update the config and re-scrape.
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## Examples
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```
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/skill-seekers:sync-config configs/react.json
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/skill-seekers:sync-config react
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```
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distribution/claude-plugin/skills/skill-builder/SKILL.md
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distribution/claude-plugin/skills/skill-builder/SKILL.md
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---
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name: skill-builder
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description: Automatically detect source types and build AI skills using Skill Seekers. Use when the user wants to create skills from documentation, repos, PDFs, videos, or other knowledge sources.
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---
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# Skill Builder
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You have access to the Skill Seekers MCP server which provides 35 tools for converting knowledge sources into AI-ready skills.
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## When to Use This Skill
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Use this skill when the user:
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- Wants to create an AI skill from a documentation site, GitHub repo, PDF, video, or other source
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- Needs to convert documentation into a format suitable for LLM consumption
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- Wants to update or sync existing skills with their source documentation
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- Needs to export skills to vector databases (Weaviate, Chroma, FAISS, Qdrant)
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- Asks about scraping, converting, or packaging documentation for AI
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## Source Type Detection
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Automatically detect the source type from user input:
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| Input Pattern | Source Type | Tool to Use |
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|---------------|-------------|-------------|
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| `https://...` (not GitHub/YouTube) | Documentation | `scrape_docs` |
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| `owner/repo` or `github.com/...` | GitHub | `scrape_github` |
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| `*.pdf` | PDF | `scrape_pdf` |
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| YouTube/Vimeo URL or video file | Video | `scrape_video` |
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| Local directory path | Codebase | `scrape_codebase` |
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| `*.ipynb`, `*.html`, `*.yaml` (OpenAPI), `*.adoc`, `*.pptx`, `*.rss`, `*.1`-`.8` | Various | `scrape_generic` |
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| JSON config file | Unified | Use config with `scrape_docs` |
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## Recommended Workflow
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1. **Detect source type** from the user's input
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2. **Generate or fetch config** using `generate_config` or `fetch_config` if needed
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3. **Estimate scope** with `estimate_pages` for documentation sites
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4. **Scrape the source** using the appropriate scraping tool
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5. **Enhance** with `enhance_skill` if the user wants AI-powered improvements
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6. **Package** with `package_skill` for the target platform
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7. **Export to vector DB** if requested using `export_to_*` tools
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## Available MCP Tools
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### Config Management
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- `generate_config` — Generate a scraping config from a URL
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- `list_configs` — List available preset configs
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- `validate_config` — Validate a config file
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### Scraping (use based on source type)
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- `scrape_docs` — Documentation sites
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- `scrape_github` — GitHub repositories
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- `scrape_pdf` — PDF files
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- `scrape_video` — Video transcripts
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- `scrape_codebase` — Local code analysis
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- `scrape_generic` — Jupyter, HTML, OpenAPI, AsciiDoc, PPTX, RSS, manpage, Confluence, Notion, chat
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### Post-processing
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- `enhance_skill` — AI-powered skill enhancement
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- `package_skill` — Package for target platform
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- `upload_skill` — Upload to platform API
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- `install_skill` — End-to-end install workflow
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### Advanced
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- `detect_patterns` — Design pattern detection in code
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- `extract_test_examples` — Extract usage examples from tests
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- `build_how_to_guides` — Generate how-to guides from tests
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- `split_config` — Split large configs into focused skills
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- `export_to_weaviate`, `export_to_chroma`, `export_to_faiss`, `export_to_qdrant` — Vector DB export
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