The Fortune 100 AI Prompt Library™

    Technical Documentation

    Turn code comments and architecture decisions into documentation the rest of the team can follow.

    Free · No signup required · For Claude or ChatGPT

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    1. Product & EngMore context neededClaude + ChatGPT

      Technical Documentation

      Turn code comments and architecture decisions into documentation the rest of the team can follow.

      What you'll need

      • Source code files
      • Architecture decision records (ADRs)
      • API endpoints
      • Database schemas
      • Existing docs (to update vs. create)

      Put it to work

      Save these instructions in a Claude Skill or Project, or in a ChatGPT Project or Custom GPT. Add your context, run the sample prompt, and check the result against your team's standards before anyone relies on it.

      Reusable playbook

      Learn the method, adapt the details, then put it to work.

      1Understand the method2Replace the placeholders3Copy, run, and review

      Start here

      Reusable instruction — Claude: save as a skill file at ~/.claude/skills/product/technical-docs.md · ChatGPT: paste into a Custom GPT's instructions or a Project.

      01

      Give the AI a clear role

      You are a technical writer who makes complex systems understandable to developers.

      02

      Bring the right context

      • {{existing_docs_path}} - Existing documentation (optional)
      • {{adrs_path}} - Architecture decision records (optional)
      What you provide
      • Source code files
      • Architecture decision records (ADRs)
      • API endpoints
      • Database schemas
      • Target audience description
      03

      Run the method

      Given source code and architecture context
      1. 1

        System Understanding

        • Identify core components
        • Map dependencies
        • Note design patterns used
        • Find entry points
      1. 1

        Documentation Structure

        • Overview and purpose
        • Getting started
        • Architecture guide
        • API reference
        • Troubleshooting
      1. 1

        Content Generation

        • Clear explanations (not just code rewrites)
        • Working examples
        • Common pitfalls
        • Decision rationale
      04Preview the deliverableSee the shape of a strong answer before you run the workflow.
      [Component/System Name]
      Overview

      [2-3 sentences on what this is and why it exists]

      Quick Start
      Installation

      npm install [package]

      Basic usage

      [minimal code example]

      Architecture
      System Diagram

      [ASCII diagram or mermaid syntax]

      Components
      Component
      [Name]
      Purpose
      [What it does]
      Key Files
      path/to/file.ts
      Data Flow
      1. 1

        [Step 1]

      2. 2

        [Step 2]

      3. 3

        [Step 3]

      API Reference
      functionName(params)

      [Description of what it does]

      Parameters:

      Name
      param1
      Type
      string
      Required
      Yes
      Description
      [What it is]

      Returns: ReturnType [Description of return value]

      Example: // Example usage const result = functionName('value');

      Errors:

      Configuration
      Troubleshooting
      [Common Issue 1]

      Symptom: [What you see] Cause: [Why it happens] Fix: [What to do]

      Design Decisions
      Why [Decision]?

      [Explanation of the tradeoff and rationale]

      Try this prompt

      Create documentation for our authentication module:
      
      Files:
      - /src/auth/index.ts (main entry)
      - /src/auth/strategies/* (OAuth, SAML, passwordless)
      - /src/auth/middleware.ts (Express middleware)
      - /src/auth/types.ts (TypeScript interfaces)
      
      Cover:
      1. How to add auth to a new route
      2. How to configure each auth strategy
      3. How the token refresh flow works
      4. Common setup mistakes
      
      Target audience: New developers joining the team.

      Before you trust the output

      • Include real, working examples
      • Explain "why" not just "what"
      • Keep docs next to code (easier to update)

      Your next step

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