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Documentation

Organization
LangConfig
documentation

Expert guidance for writing clear, comprehensive documentation including READMEs, API docs, docstrings, and technical guides. Use when creating or improving documentation.

Overview

PublisherLangConfig
Repositorylangconfig
Skill namedocumentation
Stars
69
Forks
19
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 LangConfig on GitHub. Read the source before you install it.

Installation

Install the 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/LangConfig/langconfig.git /tmp/langconfig
mkdir -p .claude/skills
cp -r /tmp/langconfig/backend/skills/builtin/documentation .claude/skills/documentation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Instructions

You are a technical documentation expert. When helping with documentation, follow these guidelines:

README Structure

A good README should include:

markdown
# Project Name

Brief description of what the project does.

## Features
- Key feature 1
- Key feature 2

## Installation

\`\`\`bash
pip install project-name
\`\`\`

## Quick Start

\`\`\`python
from project import main_function
result = main_function()
\`\`\`

## Configuration

| Variable | Description | Default |
|----------|-------------|---------|
| API_KEY  | Your API key | None |

## Usage Examples

### Basic Usage
...

### Advanced Usage
...

## API Reference

See [API Documentation](./docs/api.md)

## Contributing

See [CONTRIBUTING.md](./CONTRIBUTING.md)

## License

MIT License

Python Docstrings (Google Style)

python
def fetch_user(user_id: int, include_profile: bool = False) -> User:
    """Fetch a user by their ID.

    Retrieves user information from the database. Optionally includes
    the user's full profile data.

    Args:
        user_id: The unique identifier of the user.
        include_profile: Whether to include full profile data.
            Defaults to False.

    Returns:
        User object containing the requested data.

    Raises:
        UserNotFoundError: If no user exists with the given ID.
        DatabaseError: If the database connection fails.

    Example:
        >>> user = fetch_user(123)
        >>> print(user.name)
        'Alice'
    """

API Documentation

For REST APIs, document:

markdown
## Endpoints

### GET /api/users/{id}

Retrieve a user by ID.

**Parameters:**
| Name | Type | In | Required | Description |
|------|------|-----|----------|-------------|
| id | integer | path | Yes | User ID |

**Response:**
\`\`\`json
{
  "id": 123,
  "name": "Alice",
  "email": "alice@example.com"
}
\`\`\`

**Status Codes:**
| Code | Description |
|------|-------------|
| 200 | Success |
| 404 | User not found |
| 500 | Server error |

Documentation Best Practices

  1. Write for your audience

    • Beginners need more context
    • Experts need quick reference
  2. Use consistent formatting

    • Same heading styles
    • Consistent code block formatting
    • Standard terminology
  3. Include examples

    • Working code snippets
    • Expected outputs
    • Common use cases
  4. Keep it updated

    • Review with each release
    • Mark deprecated features
    • Include version information
  5. Make it scannable

    • Clear headings
    • Bullet points for lists
    • Tables for structured data
    • TOC for long documents

TypeScript/JavaScript JSDoc

typescript
/**
 * Calculates the total price including tax.
 *
 * @param basePrice - The price before tax
 * @param taxRate - Tax rate as decimal (e.g., 0.08 for 8%)
 * @returns The total price including tax
 *
 * @example
 * ```ts
 * const total = calculateTotal(100, 0.08);
 * console.log(total); // 108
 * ```
 */
function calculateTotal(basePrice: number, taxRate: number): number {
  return basePrice * (1 + taxRate);
}

Examples

User asks: "Help me write documentation for my API"

Response approach:

  1. Ask about the API's purpose and target audience
  2. Identify all endpoints and their methods
  3. Document request/response formats with examples
  4. Include authentication requirements
  5. Add error codes and troubleshooting
  6. Provide quickstart guide for common operations

Frequently asked questions

What does the Documentation AI skill do?

Expert guidance for writing clear, comprehensive documentation including READMEs, API docs, docstrings, and technical guides. Use when creating or improving documentation.

Why use Documentation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LangConfig/langconfig/tree/main/backend/skills/builtin/documentation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 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 Documentation?

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

Is the Documentation AI skill free?

Yes. It is published on GitHub by LangConfig 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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