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Clean Comments

Community
ertugrul-dmr
clean-comments

Use when writing, fixing, editing, or reviewing Python comments and docstrings. Enforces Clean Code principles—no metadata, no redundancy, no commented-out code.

Overview

Publisherertugrul-dmr
Repositoryclean-code-skills
Skill nameclean-comments
Stars
203
Forks
35
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

    Published by ertugrul-dmr on GitHub. Read the source before you install it.

Installation

Install the Clean Comments 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/ertugrul-dmr/clean-code-skills/tree/main/skills/python/clean-comments
  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/ertugrul-dmr/clean-code-skills.git /tmp/clean-code-skills
mkdir -p .claude/skills
cp -r /tmp/clean-code-skills/skills/python/clean-comments .claude/skills/clean-comments
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clean Comments 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 Clean Comments 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 Clean Comments 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.

Clean Comments

C1: No Inappropriate Information

Comments shouldn't hold metadata. Use Git for author names, change history, ticket numbers, and dates. Comments are for technical notes about code only.

C2: Delete Obsolete Comments

If a comment describes code that no longer exists or works differently, delete it immediately. Stale comments become "floating islands of irrelevance and misdirection."

C3: No Redundant Comments

python
# Bad - the code already says this
i += 1  # increment i
user.save()  # save the user

# Good - explains WHY, not WHAT
i += 1  # compensate for zero-indexing in display

C4: Write Comments Well

If a comment is worth writing, write it well:

  • Choose words carefully
  • Use correct grammar
  • Don't ramble or state the obvious
  • Be brief

C5: Never Commit Commented-Out Code

python
# DELETE THIS - it's an abomination
# def old_calculate_tax(income):
#     return income * 0.15

Who knows how old it is? Who knows if it's meaningful? Delete it. Git remembers everything.

The Goal

The best comment is the code itself. If you need a comment to explain what code does, refactor first, comment last.

Frequently asked questions

What does the Clean Comments AI skill do?

Use when writing, fixing, editing, or reviewing Python comments and docstrings. Enforces Clean Code principles—no metadata, no redundancy, no commented-out code.

Why use Clean Comments on TypingMind?

Because you install it once and use it with any model. Clean Comments 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 Clean Comments in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ertugrul-dmr/clean-code-skills/tree/main/skills/python/clean-comments. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Clean Comments?

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 Clean Comments?

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

Is the Clean Comments AI skill free?

Yes. It is published on GitHub by ertugrul-dmr 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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