to-prd

Synthesize conversation context and codebase insights into structured PRDs and publish them to the issue tracker.

Updated May 9, 2026
One-click install
npx skills add https://github.com/kk20300113-png/my-claude-skills --skill to-prd-kk20300113-png
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: to-prd
Source: https://github.com/kk20300113-png/my-claude-skills/tree/main/to-prd
Command: npx skills add https://github.com/kk20300113-png/my-claude-skills --skill to-prd-kk20300113-png

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually compiling product requirement documents (PRDs) from scattered conversation context and codebase insights is time-consuming and prone to missing critical details. This Skill automates that process to ensure all relevant context is captured accurately without requiring additional user input.

Core Features & Use Cases

  • Context Synthesis: Automatically pulls together details from existing conversation threads and codebase exploration to build a complete picture of the feature requirements.
  • Project Alignment: Uses your project’s domain glossary and respects existing architectural decisions (ADRs) to ensure the PRD matches your team’s existing standards.
  • Direct Publishing: Generates a fully structured PRD using your team’s standard template and publishes it directly to your configured issue tracker with the correct triage label applied.
  • Use Case: If you’ve just finished a 30-minute discussion with your engineering team about a new dark mode feature, use this Skill to instantly generate a full PRD and publish it to your GitHub issue tracker for the team to start implementation.

Quick Start

Use the to-prd skill to turn our recent conversation about the new user onboarding flow into a published PRD on the project issue tracker.

Frequently Asked Questions about to-prd

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a PRD from existing conversation context without conducting user interviews?

To generate a PRD from existing conversation context without user interviews, you can synthesize pre-existing feature discussions, codebase constraints, and architectural decisions into a structured document automatically. This process captures relevant details instantly without requiring additional user input.

How do I turn chat discussions about feature requirements into a published product requirement document?

Turning chat discussions into a published product requirement document involves synthesizing conversation threads and codebase exploration into a complete picture. The generated PRD is then published directly to your configured issue tracker with the ready-for-agent triage label applied.

Does PRD generation work with existing architectural decisions and project domain glossaries?

Yes, PRD generation works with existing architectural decisions and project domain glossaries. It uses your project's domain glossary and respects existing ADRs to ensure the product requirement document matches your team's current development standards.

What is the best way to automate product requirement documents for an agile workflow?

The best way to automate product requirement documents for an agile workflow is to automatically compile scattered conversation context and codebase insights into a structured PRD. This ensures critical details are captured accurately and published to your issue tracker for team triage.

Can I automatically apply a triage label when publishing PRDs to an issue tracker?

Yes, you can automatically apply a triage label when publishing PRDs to an issue tracker. The generation process publishes the structured product requirement document directly to your configured issue tracker with the ready-for-agent triage label already applied.

Do I need additional user input to create product requirements from codebase understanding?

No, you do not need additional user input to create product requirements from codebase understanding. The process synthesizes existing conversation context and codebase exploration into structured PRDs automatically, preventing missing critical details without requiring further interviews.