Python Code Format

Community

zhuangwenhui

python-code-format

Use when writing, editing, reviewing, or comparing Python code and task-local style decisions matter, especially for formatting, naming, docstrings, logging, resource handling, or Python 3.12-specific syntax choices.

Overview

Publisher	zhuangwenhui
Repository	`CodingSkills`
Skill name	`python-code-format`
Stars	83
Forks	0
Bundled files	2
License	MIT
Links	Skill source Repository

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 zhuangwenhui on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/zhuangwenhui/CodingSkills/tree/main/python-code-format
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.

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/zhuangwenhui/CodingSkills.git /tmp/CodingSkills
mkdir -p .claude/skills
cp -r /tmp/CodingSkills/python-code-format .claude/skills/python-code-format

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Python Code Format 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 Code Format 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 Code Format 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 Code Format

When to Use

Use this skill when the task involves Python code authoring, modification, or review and local style choices need to be made consistently.

Trigger it when the work touches:

line wrapping, indentation, blank lines, or spacing
naming
comments or docstrings
logging messages or user-facing error messages
file, socket, or similar resource handling
Python 3.12-specific style decisions

Do not use it for repository-wide Python version governance, CI, linter or formatter rollout, pre-commit setup, or broad refactors unrelated to the current task.

Baseline

Within this skill and its related reference documents, Python 3.12 is the language and style baseline.

This baseline applies only to the python-code-format skill system and its documents. It does not by itself declare a repository-wide Python upgrade or revise historical version statements elsewhere.

Workflow

Confirm that the task is a Python writing, editing, or review task rather than unrelated repository policy work.
Follow direct user instructions and any narrower task-local constraints first.
Keep changes minimal and stay close to the surrounding code unless the task explicitly asks for a style correction.
Apply the priority order below when multiple acceptable choices exist.
Read references/python-code-format-research.md whenever a specific rule, ambiguity, or edge case needs to be resolved.
Prefer the option that both matches the reference and preserves local consistency with nearby code.

Priority Order

Format and layout
Naming
Comments and docstrings
Logging and runtime messages
Python 3.12-specific style details

Boundaries

This skill does not:

declare a repository-wide Python 3.12 migration
revise historical version statements in unrelated documents
introduce CI, linters, formatters, pre-commit hooks, or other automation
justify unrelated bulk formatting or broad style-only refactors

Reference Guide

Use references/python-code-format-research.md as the detailed rule source.

Consult the relevant sections there for:

line length, indentation, blank lines, and spaces
shebang and string rules
files, sockets, getters, and setters
naming
comments and docstrings
Python 3.12 additions from PEP 701, PEP 695, and PEP 698

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 Code Format AI skill do?

Why use Python Code Format on TypingMind?

Because you install it once and use it with any model. Python Code Format 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 Code Format in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhuangwenhui/CodingSkills/tree/main/python-code-format. 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 Code Format?

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 Code Format?

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

Is the Python Code Format AI skill free?

Yes. It is published on GitHub by zhuangwenhui 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Python Code Format

When to Use

Baseline

Workflow

Priority Order

Boundaries

Reference Guide

Bundled files

Frequently asked questions

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