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Code Documentation

Community
aj-geddes
code-documentation

Write comprehensive code documentation including JSDoc, Python docstrings, inline comments, function documentation, and API comments. Use when documenting code, writing docstrings, or creating inline documentation.

Overview

Publisheraj-geddes
Repositoryuseful-ai-prompts
Skill namecode-documentation
Stars
340
Forks
55
Bundled files
7
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.

  • 7 bundled files

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

  • Open source

    Published by aj-geddes on GitHub. Read the source before you install it.

Installation

Install the Code Documentation 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.
  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/aj-geddes/useful-ai-prompts.git /tmp/useful-ai-prompts
mkdir -p .claude/skills
cp -r /tmp/useful-ai-prompts/skills/code-documentation .claude/skills/code-documentation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Documentation 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 Code Documentation 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 Code Documentation 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.

Code Documentation

Table of Contents

Overview

Create clear, comprehensive code documentation using language-specific standards like JSDoc, Python docstrings, JavaDoc, and inline comments.

When to Use

  • Function and class documentation
  • JSDoc for JavaScript/TypeScript
  • Python docstrings
  • JavaDoc for Java
  • Inline code comments
  • API documentation from code
  • Type definitions
  • Usage examples in code

Quick Start

Minimal working example:

javascript
/**
 * Calculates the total price including tax and discount.
 *
 * @param {number} basePrice - The base price before tax and discount
 * @param {number} taxRate - Tax rate as a decimal (e.g., 0.08 for 8%)
 * @param {number} [discount=0] - Optional discount amount
 * @returns {number} The final price after tax and discount
 * @throws {Error} If basePrice or taxRate is negative
 *
 * @example
 * const price = calculateTotalPrice(100, 0.08, 10);
 * console.log(price); // 98
 *
 * @example
 * // Without discount
 * const price = calculateTotalPrice(100, 0.08);
 * console.log(price); // 108
 */
function calculateTotalPrice(basePrice, taxRate, discount = 0) {
  if (basePrice < 0 || taxRate < 0) {
    throw new Error("Price and tax rate must be non-negative");
  }
  return basePrice * (1 + taxRate) - discount;
}

// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

GuideContents
Function DocumentationFunction Documentation
Class DocumentationClass Documentation
Type DefinitionsType Definitions
Function DocumentationFunction Documentation
Class DocumentationClass Documentation
Module DocumentationModule Documentation

Best Practices

✅ DO

  • Document public APIs thoroughly
  • Include usage examples
  • Document parameters and return values
  • Specify thrown exceptions/errors
  • Use language-specific standards (JSDoc, docstrings, etc.)
  • Keep comments up-to-date
  • Document "why" not "what"
  • Include edge cases and gotchas
  • Add links to related functions
  • Document type definitions
  • Use consistent formatting

❌ DON'T

  • State the obvious in comments
  • Leave commented-out code
  • Write misleading comments
  • Skip examples for complex functions
  • Use vague parameter descriptions
  • Forget to update docs when code changes
  • Over-comment simple code

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 Code Documentation AI skill do?

Write comprehensive code documentation including JSDoc, Python docstrings, inline comments, function documentation, and API comments. Use when documenting code, writing docstrings, or creating inline documentation.

Why use Code Documentation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aj-geddes/useful-ai-prompts/tree/main/skills/code-documentation. 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 Code Documentation?

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 Code Documentation?

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

Is the Code Documentation AI skill free?

Yes. It is published on GitHub by aj-geddes 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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