Code to Prd

Code to Prd

A Claude Code skill for code to prd workflows and automation

Category: development Source: alirezarezvani/claude-skills

What Is Code to Prd?

Code to Prd is an advanced Claude Code skill designed to automate the transformation of software codebases into complete Product Requirements Documents (PRDs). Developed by Alireza Rezvani and distributed under the MIT license, this tool leverages intelligent code analysis to reverse-engineer frontend, backend, or fullstack applications—extracting routes, components, state management, APIs, and user interactions. The result is a business-readable, highly structured PRD that empowers both engineers and AI agents to reconstruct every feature, page, and endpoint with clarity and precision. Code to Prd supports a broad range of modern frameworks, including React, Vue, Angular, Svelte, Next.js, Nuxt, NestJS, Django, Express, and FastAPI.

Why Use Code to Prd?

Manual documentation of complex codebases is time-consuming, error-prone, and often neglected—leading to gaps in team understanding and project continuity. Code to Prd addresses these challenges by providing a reliable, automated path from working code to comprehensive, up-to-date requirements documentation. The advantages are substantial:

  • Rapid Onboarding: New team members can review a generated PRD to understand system architecture, business logic, and user flows without deep-diving into source code.
  • Consistency: Automated extraction ensures requirements documentation stays synchronized with the actual implementation, reducing drift and misalignment.
  • Reverse Engineering: Legacy or poorly documented projects can be analyzed to recover lost specs and functional inventories.
  • AI Collaboration: Structured PRDs provide a foundation for AI agents to generate test cases, user stories, or further automate software development tasks.

How to Get Started

Getting started with Code to Prd is straightforward, as it operates as a Claude Code skill without external dependencies.

  1. Install or Enable the Skill: Integrate Code to Prd into your Claude environment according to your platform's instructions. The source code and usage guidelines can be found here.
  2. Trigger the Skill: Use natural language triggers such as "generate PRD", "reverse-engineer requirements", or "extract product specs from code". You can invoke the skill directly in your code review or documentation workflow.
  3. Provide the Codebase: Point the skill to your target frontend, backend, or fullstack repository. Code to Prd supports popular JavaScript, TypeScript, and Python frameworks out of the box.
  4. Review the Output: The tool will produce a structured PRD containing detailed breakdowns of pages, endpoints, models, and user interactions.

Example Usage

Suppose you have a React/Express codebase. In your Claude environment, you might enter:

generate PRD for /projects/my-app

Code to Prd will analyze the directory, scanning components, routes, and API handlers, and deliver a business-readable PRD.

Key Features

  • 3-Phase Workflow:

    • Global Scan: Rapidly inventories the entire codebase, mapping out high-level structure.
    • Page-by-Page Analysis: Dives into individual components, containers, and backend routes to extract detailed logic, user flows, and state dependencies.
    • Structured Output: Produces a hierarchical PRD organized by pages, endpoints, data models, and user actions.

  • Broad Framework Support:
    Handles frontend frameworks (React, Vue, Angular, Svelte, Next.js, Nuxt), backend platforms (NestJS, Django, Express, FastAPI), and fullstack applications.

  • Business-Readable Documentation:
    Converts technical constructs into requirement statements that are accessible to technical and non-technical stakeholders alike.

  • API and Route Analysis:
    Automatically identifies and documents REST, GraphQL, or custom endpoints, including input/output schemas and authentication requirements.

  • Component Inventory:
    Extracts all reusable UI components and maps their props, state, and interaction patterns.

Practical Example

Given a React page:

<Route path="/dashboard" component={DashboardPage} />

And a corresponding Express API handler:

app.get('/api/users', (req, res) => { ... });

Code to Prd would generate PRD entries such as:

  • Dashboard Page: Displays user metrics, recent activity, and navigation links. Requires authentication.
  • /api/users Endpoint: Returns a list of users. Accepts query parameters for filtering. Used by Dashboard Page to populate user metrics.

Best Practices

  • Run After Major Changes: Always regenerate the PRD after significant refactors or feature additions to keep documentation current.
  • Review for Accuracy: Automated extraction covers most cases, but manual review ensures business context and edge cases are documented.
  • Integrate with Code Reviews: Use Code to Prd as part of your pull request or release workflow to flag undocumented changes.
  • Leverage Output for AI Agents: Use the structured PRD to drive downstream automation such as automated testing, story generation, or further code synthesis.

Important Notes

  • Coverage: While Code to Prd supports a wide range of frameworks, some custom or legacy architectures may require additional configuration or manual annotations.
  • Security: The skill does not transmit code externally, but always review generated documentation for sensitive information before sharing.
  • Limitations: Highly dynamic code or runtime-generated routes may not be fully captured. Complement automated PRDs with targeted manual documentation when necessary.
  • Licensing: Distributed under the MIT license, Code to Prd is open-source and free for both personal and commercial use.

For more information and the latest updates, visit the official repository.