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Guide · Open source

How to use Skill_Seekers: create and package Claude skills

Updated · written with AI from the project's own documentation and checked against our catalogue data

Skill Seekers is an open-source Python command-line tool that collects content from documentation websites, GitHub repositories and PDFs and organizes it into a skill an AI assistant such as Claude can use. This guide is for people comfortable running Python command-line tools who want an assistant to know a specific library's documentation or internal reference material. By the end you will know how to install it, create a skill from a source, and package the result for an AI platform.

Skill Seekersyusufkaraaslan/Skill_Seekers · ★ 15.3k · MIT

Quick start

  1. 1Check prerequisites. Confirm Python 3.10 or newer and Git are installed on your machine.
  2. 2Install the package. Run pip install skill-seekers to install the core tool.
  3. 3Choose a source. Pick a documentation site, GitHub repository, or PDF you want the AI assistant to know.
  4. 4Create the skill. Run skill-seekers create with your source to build the skill output folder.
  5. 5Package the skill. Run skill-seekers package with the output folder and --target claude to produce a zip.
  6. 6Use the zip with your AI platform. Load the packaged skill into your AI platform account following that platform's own instructions.

What you need before you install Skill Seekers

Skill Seekers is a Python package. The README lists Python 3.10+ and Git as prerequisites, so check both are installed before you start.

You also need an AI platform to use the output with. Packaging targets AI platforms, so the tool does not work as a standalone reader on its own.

  • Python 3.10 or newer
  • Git
  • An AI platform account such as Claude, for using the packaged skill

Install Skill Seekers with pip

The core package installs with pip. The README describes it as covering scraping, GitHub, PDF and packaging.

Optional extras add support for more LLM platforms, the MCP server, video, Jupyter, PowerPoint, Confluence, Notion and other source types. Install only the extras you need.

  • Core: scraping, GitHub, PDF, packaging
  • skill-seekers[all-llms] adds every LLM platform
  • skill-seekers[mcp] adds the MCP server
  • skill-seekers[all] installs everything
pip install skill-seekers

Create a skill from a source

The create command builds a skill from a source. The README's example uses a documentation site, but the same command accepts a GitHub repository or a PDF file.

You can preview how a source will be detected without creating anything by adding the detect command with --json.

  • Documentation site: skill-seekers create https://docs.djangoproject.com/
  • GitHub repository: skill-seekers create facebook/react
  • PDF: skill-seekers create manual.pdf
skill-seekers create https://docs.djangoproject.com/ # Optional: preview detection without creating anything skill-seekers detect https://docs.djangoproject.com/ --json

Package the skill for your AI platform

The package command produces a zip file ready for an AI platform. The README's example packages the Django output for Claude, which produces output/django-claude.zip.

Packaging is the step that prepares the skill for use. Pass the output folder and the target platform.

skill-seekers package output/django --target claude

Other source types and the scan command

Beyond documentation sites, the README lists sources including local codebases, Word, EPUB, Jupyter notebooks, OpenAPI files, PowerPoint, AsciiDoc, local HTML, RSS/Atom feeds and man pages. Some sources, such as video and Confluence, need an extra install.

The scan command points an AI agent at a project to produce one config per detected framework. The README notes the AI agent can be changed with --agent, and the default is claude.

  • Local codebase, PDF, Word, EPUB and other file types use create with the file path
  • Video needs skill-seekers[video]
  • Full command list is in the CLI Reference
skill-seekers scan ./my-react-app --out ./configs/scanned/ skill-seekers create ./configs/scanned/react.json

What people use it for

  • Giving Claude the documentation of a specific library so it can answer questions about that library
  • Packaging internal team documents or PDFs as reference material for an AI assistant
  • Turning a documentation website into structured files for later use

Frequently asked questions

Is Skill Seekers free to use?

Skill Seekers is released under the MIT licence, which is an open-source licence. The source does not state pricing for any hosted service, so check the project homepage for details on anything beyond the open-source tool.

What do I need to install Skill Seekers?

The README lists Python 3.10+ and Git as prerequisites. Install the package with pip install skill-seekers.

How do I install Skill Seekers?

Run pip install skill-seekers. Optional extras such as skill-seekers[all] are available if you need more source types or platforms.

Does Skill Seekers have a graphical interface?

The README shows only command-line usage. If you need a point-and-click app, this tool is not a match.

What is the difference between create and package?

Create builds a skill from a source such as a documentation site, GitHub repository or PDF. Package produces a zip file ready for an AI platform, such as output/django-claude.zip from the README example.

Are there alternatives or comparable projects?

The item's analysis lists no comparable projects. Skill Seekers' README describes integrations with RAG and IDE tools, so you can compare its documented outputs against your own needs.

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Our verdict

Skill Seekers suits developers and teams who are comfortable with Python command-line tools and want to turn documentation, repositories or PDFs into material an AI assistant like Claude can use. It is a poor fit if you need a point-and-click app, do not have Python 3.10+, or do not use an AI platform, since packaging targets those platforms.

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