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Python Lib Analyzer

Community
shibing624
python-lib-analyzer

Analyze any Python library structure, explore modules, classes, and functions with signatures and documentation.

Overview

Publishershibing624
Repositoryagentica
Skill namepython-lib-analyzer
Stars
357
Forks
48
Bundled files
1
LicenseApache-2.0
Links
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by shibing624 on GitHub. Read the source before you install it.

Installation

Install the Python Lib Analyzer 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.
    https://github.com/shibing624/agentica/tree/main/examples/data/skills/python-lib-analyzer
  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/shibing624/agentica.git /tmp/agentica
mkdir -p .claude/skills
cp -r /tmp/agentica/examples/data/skills/python-lib-analyzer .claude/skills/python-lib-analyzer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Python Lib Analyzer 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 Python Lib Analyzer 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 Python Lib Analyzer 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.

Python Library Analyzer

A skill for exploring and analyzing any Python library's structure, including modules, classes, functions, and their documentation.

When to Use

Use this skill when you need to:

  • Explore an unfamiliar Python library's structure
  • Find available classes and functions in a module
  • Get function/method signatures and documentation
  • Understand library architecture before using it

Quick Start

1. View Top-Level Modules

bash
python view_python_module.py --module <library_name>

Example:

bash
python view_python_module.py --module requests
python view_python_module.py --module numpy
python view_python_module.py --module pandas

2. Explore Submodules

bash
python view_python_module.py --module <library>.<submodule>

Example:

bash
python view_python_module.py --module requests.api
python view_python_module.py --module numpy.linalg
python view_python_module.py --module pandas.DataFrame

3. Get Class/Function Details

bash
python view_python_module.py --module <library>.<Class>
python view_python_module.py --module <library>.<function>

Script Location

The view_python_module.py script is located in the same directory as this SKILL.md file.

Workflow

  1. Check if library is installed:

    bash
    pip list | grep <library_name>
  2. Install if needed (ask user permission first):

    bash
    pip install <library_name>
  3. Start exploration from top level:

    bash
    python view_python_module.py --module <library_name>
  4. Drill down into specific modules/classes:

    bash
    python view_python_module.py --module <library>.<module>.<Class>

Example Session

bash
# Explore requests library
$ python view_python_module.py --module requests
Available submodules in 'requests':
- requests.api: Convenience functions (get, post, put, delete, etc.)
- requests.models: Request and Response classes
- requests.sessions: Session management
- requests.auth: Authentication handlers
...

# Get details on the get function
$ python view_python_module.py --module requests.get
def get(url, params=None, **kwargs):
    """Sends a GET request.

    Args:
        url: URL for the request.
        params: Dictionary of query parameters.
        **kwargs: Optional arguments for request.

    Returns:
        Response object
    """

Tips

  • Start with the library name to see the overall structure
  • Use tab completion in shell for module paths
  • For large libraries, explore section by section
  • Check __all__ exports for public API

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Python Lib Analyzer AI skill do?

Analyze any Python library structure, explore modules, classes, and functions with signatures and documentation.

Why use Python Lib Analyzer on TypingMind?

Because you install it once and use it with any model. Python Lib Analyzer 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 Python Lib Analyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shibing624/agentica/tree/main/examples/data/skills/python-lib-analyzer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Python Lib Analyzer?

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 Python Lib Analyzer?

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

Is the Python Lib Analyzer AI skill free?

Yes. It is published on GitHub by shibing624 under the Apache-2.0 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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