code-documentation

skillcreatorai/ai-agent-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/skillcreatorai/ai-agent-skills --skill code-documentation
0 commentsdiscussion
summary

code-documentation

skill.md

Code Documentation

README Structure

Standard README Template

# Project Name

Brief description of what this project does.

## Quick Start

\`\`\`bash
npm install
npm run dev
\`\`\`

## Installation

Detailed installation instructions...

## Usage

\`\`\`typescript
import { something } from 'project';

// Example usage
const result = something.doThing();
\`\`\`

## API Reference

### `functionName(param: Type): ReturnType`

Description of what the function does.

**Parameters:**
- `param` - Description of parameter

**Returns:** Description of return value

**Example:**
\`\`\`typescript
const result = functionName('value');
\`\`\`

## Configuration

| Option | Type | Default | Description |
|--------|------|---------|-------------|
| `option1` | `string` | `'default'` | What it does |

## Contributing

How to contribute...

## License

MIT

API Documentation

JSDoc/TSDoc Style

/**
 * Creates a new user account.
 *
 * @param userData - The user data for account creation
 * @param options - Optional configuration
 * @returns The created user object
 * @throws {ValidationError} If email is invalid
 * @example
 * ```ts
 * const user = await createUser({
 *   email: '[email protected]',
 *   name: 'John'
 * });
 * ```
 */
async function createUser(
  userData: UserInput,
  options?: CreateOptions
): Promise<User> {
  // Implementation
}

/**
 * Configuration options for the API client.
 */
interface ClientConfig {
  /** The API base URL */
  baseUrl: string;
  /** Request timeout in milliseconds @default 5000 */
  timeout?: number;
  /** Custom headers to include in requests */
  headers?: Record<string, string>;
}

OpenAPI/Swagger

openapi: 3.0.0
info:
  title: My API
  version: 1.0.0

paths:
  /users:
    post:
      summary: Create a user
      description: Creates a new user account
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/UserInput'
      responses:
        '201':
          description: User created successfully
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/User'
        '400':
          description: Invalid input

components:
  schemas:
    UserInput:
      type: object
      required:
        - email
        - name
      properties:
        email:
          type: string
          format: email
        name:
          type: string
    User:
      type: object
      properties:
        id:
          type: string
        email:
          type: string
        name:
          type: string
        createdAt:
          type: string
          format: date-time

Inline Comments

When to Comment

// GOOD: Explain WHY, not WHAT

// Use binary search because the list is always sorted and
// can contain millions of items - O(log n) vs O(n)
const index = binarySearch(items, target);

// GOOD: Explain complex business logic
// Users get 20% discount if they've been members for 2+ years
// AND have made 10+ purchases (per marketing team decision Q4 2024)
if (user.memberYears >= 2 && user.purchaseCount >= 10) {
  applyDiscount(0.2);
}

// GOOD: Document workarounds
// HACK: Safari doesn't support this API, fallback to polling
// TODO: Remove when Safari adds support (tracking: webkit.org/b/12345)
if (!window.IntersectionObserver) {
  startPolling();
}

When NOT to Comment

// BAD: Stating the obvious
// Increment counter by 1
counter++;

// BAD: Explaining clear code
// Check if user is admin
if (user.role === 'admin') { ... }

// BAD: Outdated comments (worse than no comment)
// Returns the user's full name  <-- Actually returns email now!
function getUserIdentifier(user) {
  return user.email;
}

Architecture Documentation

ADR (Architecture Decision Record)

# ADR-001: Use PostgreSQL for Primary Database

## Status
Accepted

## Context
We need a database for storing user data and transactions.
Options considered: PostgreSQL, MySQL, MongoDB, DynamoDB.

## Decision
Use PostgreSQL with Supabase hosting.

## Rationale
- Strong ACID compliance needed for financial data
- Team has PostgreSQL experience
- Supabase provides auth and realtime features
- pgvector extension for future AI features

## Consequences
- Need to manage schema migrations
- May need read replicas for scale
- Team needs to learn Supabase-specific features

Component Documentation

## Authentication Module

### Overview
Handles user authentication using JWT tokens with refresh rotation.

### Flow
1. User submits credentials to `/auth/login`
how to use code-documentation

How to use code-documentation on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add code-documentation
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/skillcreatorai/ai-agent-skills --skill code-documentation

The skills CLI fetches code-documentation from GitHub repository skillcreatorai/ai-agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/code-documentation

Reload or restart Cursor to activate code-documentation. Access the skill through slash commands (e.g., /code-documentation) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.737 reviews
  • Layla Agarwal· Dec 28, 2024

    We added code-documentation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Anika Choi· Dec 28, 2024

    Registry listing for code-documentation matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Anika Park· Nov 19, 2024

    code-documentation reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kabir Flores· Nov 19, 2024

    code-documentation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ama Okafor· Nov 7, 2024

    code-documentation has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Chinedu Agarwal· Oct 26, 2024

    Solid pick for teams standardizing on skills: code-documentation is focused, and the summary matches what you get after install.

  • Kabir Sanchez· Oct 10, 2024

    Registry listing for code-documentation matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yash Thakker· Sep 21, 2024

    We added code-documentation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Li Ndlovu· Sep 21, 2024

    We added code-documentation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Chen Okafor· Sep 1, 2024

    Keeps context tight: code-documentation is the kind of skill you can hand to a new teammate without a long onboarding doc.

showing 1-10 of 37

1 / 4