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Skill Builder

CommunityPopular
yusufkaraaslan
skill-builder

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.

Overview

Publisheryusufkaraaslan
RepositorySkill_Seekers
Skill nameskill-builder
Stars
15K
Forks
1.5K
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by yusufkaraaslan on GitHub. Read the source before you install it.

Installation

Install the Skill Builder AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yusufkaraaslan/Skill_Seekers.git /tmp/Skill_Seekers
mkdir -p .claude/skills
cp -r /tmp/Skill_Seekers/distribution/claude-plugin/skills/skill-builder .claude/skills/skill-builder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Builder in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Builder on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Builder is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Skill Builder

This skill uses the Skill Seekers MCP server, which provides 40 tools for converting knowledge sources into AI-ready skills. If the MCP tools are not available, use the CLI fallback at the bottom of this file instead — do not stop.

Prerequisites

The MCP tools below only work when the Skill Seekers MCP server is connected:

  1. Install the package: pip install "skill-seekers[mcp]"
  2. Connect the server:
    • Installed as the Skill Seekers plugin? Nothing to do — the plugin's bundled .mcp.json starts the server automatically (it still needs step 1).
    • Installed standalone (e.g. copied into ~/.claude/skills/)? Register the server once: claude mcp add skill-seekers -- python -m skill_seekers.mcp.server_fastmcp

If tools like scrape_docs or package_skill are not in your tool list, the server is not connected. Tell the user about the two steps above, and use the CLI fallback in the meantime.

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 PatternSource TypeTool to Use
https://... (not GitHub/YouTube)Documentationscrape_docs
owner/repo or github.com/...GitHubscrape_github
*.pdfPDFscrape_pdf
YouTube/Vimeo URL or video fileVideoscrape_video
Local directory pathCodebasescrape_codebase
*.ipynb, *.html, *.yaml (OpenAPI), *.adoc, *.pptx, *.rss, *.1-.8Variousscrape_generic
JSON config fileUnifiedUse 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

CLI Fallback (MCP server not connected)

The same pipeline is available from the command line (requires pip install skill-seekers). Run it with the Bash tool:

bash
skill-seekers create <source>                      # auto-detects: URL, owner/repo, ./path, file.pdf, video URL, ...
skill-seekers package <skill_dir> --target claude  # or gemini/openai/langchain/chroma/...

create covers detection, scraping, and building in one step; add --enhance-level 0 to skip AI enhancement. After it finishes, read the generated SKILL.md and summarize what was created.

Frequently asked questions

What does the Skill Builder AI skill do?

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.

Why use Skill Builder on TypingMind?

Because you install it once and use it with any model. Skill Builder is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Builder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yusufkaraaslan/Skill_Seekers/tree/development/distribution/claude-plugin/skills/skill-builder. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Skill Builder?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Builder?

As many as you like. As long as a model supports skills, you can use Skill Builder with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Builder AI skill free?

Yes. It is published on GitHub by yusufkaraaslan under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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