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
This commit is contained in:
yusyus
2026-03-16 23:29:50 +03:00
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{
"name": "skill-seekers",
"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.",
"version": "3.3.0",
"author": {
"name": "Yusuf Karaaslan"
},
"homepage": "https://github.com/yusufkaraaslan/Skill_Seekers",
"repository": "https://github.com/yusufkaraaslan/Skill_Seekers",
"license": "MIT"
}

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{
"skill-seekers": {
"command": "python",
"args": ["-m", "skill_seekers.mcp.server_fastmcp"]
}
}

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# Skill Seekers — Claude Code Plugin
Transform 17 source types into AI-ready skills and RAG knowledge, directly from Claude Code.
## Installation
### From the Official Plugin Directory
```
/plugin install skill-seekers@claude-plugin-directory
```
Or browse for it in `/plugin > Discover`.
### Local Installation (for development)
```bash
claude --plugin-dir ./path/to/skill-seekers-plugin
```
### Prerequisites
The plugin requires `skill-seekers` to be installed:
```bash
pip install skill-seekers[mcp]
```
## What's Included
### MCP Server (35 tools)
The plugin bundles the Skill Seekers MCP server providing tools for:
- Scraping documentation, GitHub repos, PDFs, videos, and 13 other source types
- Packaging skills for 16+ LLM platforms
- Exporting to vector databases (Weaviate, Chroma, FAISS, Qdrant)
- Managing configs, workflows, and sources
### Slash Commands
| Command | Description |
|---------|-------------|
| `/skill-seekers:create-skill <source>` | Create a skill from any source (auto-detects type) |
| `/skill-seekers:sync-config <config>` | Sync config URLs against live docs |
| `/skill-seekers:install-skill <source>` | End-to-end: fetch, scrape, enhance, package, install |
### Agent Skill
The **skill-builder** skill is automatically available to Claude. It detects source types and uses the appropriate MCP tools to build skills autonomously.
## Usage Examples
```
# Create a skill from a documentation site
/skill-seekers:create-skill https://react.dev
# Create from a GitHub repo, targeting LangChain
/skill-seekers:create-skill pallets/flask --target langchain
# Full install workflow with AI enhancement
/skill-seekers:install-skill https://fastapi.tiangolo.com --enhance
# Sync an existing config
/skill-seekers:sync-config react
```
Or just ask Claude naturally:
> "Create an AI skill from the React documentation"
> "Scrape the Flask GitHub repo and package it for OpenAI"
> "Export my skill to a Chroma vector database"
The skill-builder agent skill will automatically detect the intent and use the right tools.
## Remote MCP Alternative
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`:
```json
{
"skill-seekers": {
"type": "http",
"url": "https://your-hosted-server.com/mcp"
}
}
```
## Supported Source Types
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.
## License
MIT — https://github.com/yusufkaraaslan/Skill_Seekers

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---
description: Create an AI skill from any source (URL, repo, PDF, video, notebook, etc.)
---
# Create Skill
Create an AI-ready skill from a source. The source type is auto-detected.
## Usage
```
/skill-seekers:create-skill <source> [--target <platform>] [--output <dir>]
```
## Instructions
When the user provides a source via `$ARGUMENTS`, run the `skill-seekers create` command to generate a skill.
1. Parse the arguments: extract the source (first argument) and any flags.
2. If no `--target` is specified, default to `claude`.
3. If no `--output` is specified, default to `./output`.
4. Run the command:
```bash
skill-seekers create "$SOURCE" --target "$TARGET" --output "$OUTPUT"
```
5. After completion, read the generated `SKILL.md` and summarize what was created.
## Source Types (auto-detected)
- **URL** (https://...) → Documentation scraping
- **owner/repo** or github.com URL → GitHub repo analysis
- **file.pdf** → PDF extraction
- **file.ipynb** → Jupyter notebook
- **file.docx** → Word document
- **file.epub** → EPUB book
- **YouTube/Vimeo URL** → Video transcript
- **./directory** → Local codebase analysis
- **file.yaml** with OpenAPI → API spec
- **file.pptx** → PowerPoint
- **file.adoc** → AsciiDoc
- **file.html** → HTML page
- **file.rss** → RSS/Atom feed
- **cmd.1** → Man page
## Examples
```
/skill-seekers:create-skill https://react.dev
/skill-seekers:create-skill pallets/flask --target langchain
/skill-seekers:create-skill ./docs/api.pdf --target openai
/skill-seekers:create-skill https://youtube.com/watch?v=abc123
```

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---
description: One-command skill installation — fetch config, scrape, enhance, package, and install
---
# Install Skill
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.
## Usage
```
/skill-seekers:install-skill <config-or-source> [--target <platform>] [--enhance]
```
## Instructions
When the user provides a source or config via `$ARGUMENTS`:
1. Determine if the argument is a config preset name, config file path, or a direct source.
2. Use the `install_skill` MCP tool if available, or run the equivalent CLI commands:
```bash
# For preset configs
skill-seekers install --config "$CONFIG" --target "$TARGET"
# For direct sources
skill-seekers create "$SOURCE" --target "$TARGET"
```
3. If `--enhance` is specified, run enhancement after initial scraping:
```bash
skill-seekers enhance "$SKILL_DIR" --target "$TARGET"
```
4. Report the final skill location and how to use it.
## Target Platforms
`claude`, `openai`, `gemini`, `langchain`, `llamaindex`, `haystack`, `cursor`, `windsurf`, `continue`, `cline`, `markdown`
## Examples
```
/skill-seekers:install-skill react --target claude
/skill-seekers:install-skill https://fastapi.tiangolo.com --target langchain --enhance
/skill-seekers:install-skill pallets/flask
```

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---
description: Sync a scraping config's URLs against the live documentation site
---
# Sync Config
Synchronize a Skill Seekers config file with the current state of a documentation site. Detects new pages, removed pages, and URL changes.
## Usage
```
/skill-seekers:sync-config <config-path-or-name>
```
## Instructions
When the user provides a config path or preset name via `$ARGUMENTS`:
1. If it's a preset name (e.g., `react`, `godot`), look for it in the `configs/` directory or fetch from the API.
2. Run the sync command:
```bash
skill-seekers sync-config "$CONFIG"
```
3. Report what changed: new URLs found, removed URLs, and any conflicts.
4. Ask the user if they want to update the config and re-scrape.
## Examples
```
/skill-seekers:sync-config configs/react.json
/skill-seekers:sync-config react
```

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---
name: skill-builder
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.
---
# Skill Builder
You have access to the Skill Seekers MCP server which provides 35 tools for converting knowledge sources into AI-ready skills.
## When to Use This Skill
Use this skill when the user:
- Wants to create an AI skill from a documentation site, GitHub repo, PDF, video, or other source
- Needs to convert documentation into a format suitable for LLM consumption
- Wants to update or sync existing skills with their source documentation
- Needs to export skills to vector databases (Weaviate, Chroma, FAISS, Qdrant)
- Asks about scraping, converting, or packaging documentation for AI
## Source Type Detection
Automatically detect the source type from user input:
| Input Pattern | Source Type | Tool to Use |
|---------------|-------------|-------------|
| `https://...` (not GitHub/YouTube) | Documentation | `scrape_docs` |
| `owner/repo` or `github.com/...` | GitHub | `scrape_github` |
| `*.pdf` | PDF | `scrape_pdf` |
| YouTube/Vimeo URL or video file | Video | `scrape_video` |
| Local directory path | Codebase | `scrape_codebase` |
| `*.ipynb`, `*.html`, `*.yaml` (OpenAPI), `*.adoc`, `*.pptx`, `*.rss`, `*.1`-`.8` | Various | `scrape_generic` |
| JSON config file | Unified | Use config with `scrape_docs` |
## Recommended Workflow
1. **Detect source type** from the user's input
2. **Generate or fetch config** using `generate_config` or `fetch_config` if needed
3. **Estimate scope** with `estimate_pages` for documentation sites
4. **Scrape the source** using the appropriate scraping tool
5. **Enhance** with `enhance_skill` if the user wants AI-powered improvements
6. **Package** with `package_skill` for the target platform
7. **Export to vector DB** if requested using `export_to_*` tools
## Available MCP Tools
### Config Management
- `generate_config` — Generate a scraping config from a URL
- `list_configs` — List available preset configs
- `validate_config` — Validate a config file
### Scraping (use based on source type)
- `scrape_docs` — Documentation sites
- `scrape_github` — GitHub repositories
- `scrape_pdf` — PDF files
- `scrape_video` — Video transcripts
- `scrape_codebase` — Local code analysis
- `scrape_generic` — Jupyter, HTML, OpenAPI, AsciiDoc, PPTX, RSS, manpage, Confluence, Notion, chat
### Post-processing
- `enhance_skill` — AI-powered skill enhancement
- `package_skill` — Package for target platform
- `upload_skill` — Upload to platform API
- `install_skill` — End-to-end install workflow
### Advanced
- `detect_patterns` — Design pattern detection in code
- `extract_test_examples` — Extract usage examples from tests
- `build_how_to_guides` — Generate how-to guides from tests
- `split_config` — Split large configs into focused skills
- `export_to_weaviate`, `export_to_chroma`, `export_to_faiss`, `export_to_qdrant` — Vector DB export