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Building Python Communities

Community
wdm0006
building-python-communities

Builds and manages open source Python library communities including CONTRIBUTING.md, CODE_OF_CONDUCT.md, issue/PR templates, contributor recognition, and GitHub automation. Use when setting up community infrastructure, improving contributor experience, or managing project governance.

Overview

Publisherwdm0006
Repositorypython-skills
Skill namebuilding-python-communities
Stars
111
Forks
17
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

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

  • Open source

    Published by wdm0006 on GitHub. Read the source before you install it.

Installation

Install the Building Python Communities 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/wdm0006/python-skills/tree/main/skills/python/community
  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/wdm0006/python-skills.git /tmp/python-skills
mkdir -p .claude/skills
cp -r /tmp/python-skills/skills/python/community .claude/skills/building-python-communities
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Building Python Communities 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 Building Python Communities 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 Building Python Communities 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 Community Management

Essential Files

CONTRIBUTING.md

markdown
# Contributing

## Development Setup

git clone https://github.com/user/package.git
cd package
uv sync --extra dev
pre-commit install
pytest

## Making Changes

1. Create a branch: `git checkout -b feature/name`
2. Make changes, add tests
3. Run: `make test && make lint`
4. Commit and open a PR

## Commit Messages

- `Add:` new feature
- `Fix:` bug fix
- `Update:` enhancement
- `Docs:` documentation

CODE_OF_CONDUCT.md

Use Contributor Covenant - the standard for open source.

Issue Templates

.github/ISSUE_TEMPLATE/bug_report.md:

markdown
---
name: Bug Report
labels: 'bug'
---
## Description
## To Reproduce
## Expected vs Actual Behavior
## Environment (OS, Python version, package version)
## Minimal Reproducible Example

.github/ISSUE_TEMPLATE/feature_request.md:

markdown
---
name: Feature Request
labels: 'enhancement'
---
## Problem Statement
## Proposed Solution
## Example Usage

PR Template

.github/PULL_REQUEST_TEMPLATE.md:

markdown
## Description
## Related Issue (Fixes #)
## Checklist
- [ ] Tests added
- [ ] Documentation updated
- [ ] CHANGELOG entry added

GitHub Actions Automation

yaml
# .github/workflows/welcome.yml
on:
  pull_request_target:
    types: [opened]
jobs:
  welcome:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/first-interaction@v1
        with:
          pr-message: "Thanks for your first PR! 🎉"

Labels

  • good first issue - Newcomer-friendly
  • help wanted - Extra attention needed
  • bug, enhancement, documentation

For detailed templates, see:

Checklist

Initial Setup:
- [ ] CONTRIBUTING.md
- [ ] CODE_OF_CONDUCT.md
- [ ] Issue templates
- [ ] PR template
- [ ] Labels defined

Ongoing:
- [ ] Respond to issues within 48h
- [ ] Review PRs within 1 week
- [ ] Maintain good first issues
- [ ] Recognize contributors

Learn More

This skill is based on the Maintenance section of the Guide to Developing High-Quality Python Libraries by Will McGinnis. See these posts for deeper coverage:

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 Building Python Communities AI skill do?

Builds and manages open source Python library communities including CONTRIBUTING.md, CODE_OF_CONDUCT.md, issue/PR templates, contributor recognition, and GitHub automation. Use when setting up community infrastructure, improving contributor experience, or managing project governance.

Why use Building Python Communities on TypingMind?

Because you install it once and use it with any model. Building Python Communities 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 Building Python Communities in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wdm0006/python-skills/tree/main/skills/python/community. 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 Building Python Communities?

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 Building Python Communities?

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

Is the Building Python Communities AI skill free?

Yes. It is published on GitHub by wdm0006 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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