mm-to-prd

Generate a Product Requirements Document from conversation context and publish it to the project backlog.

1|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/mikkeymoo/claude-solo --skill mm-to-prd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mm-to-prd
Source: https://github.com/mikkeymoo/claude-solo/tree/main/mm-skills/mm-to-prd
Command: npx skills add https://github.com/mikkeymoo/claude-solo --skill mm-to-prd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill transforms the current conversation context into a Product Requirements Document (PRD) and publishes it to the project backlog, enabling users to quickly generate and document project requirements.

Core Features & Use Cases

  • Contextual PRD Generation: Synthesizes the current conversation context into a PRD.
  • Project Backlog Integration: Publishes the PRD to the project backlog for further development.
  • Use Case: Ideal for developers or project managers who need to document feature requirements based on ongoing discussions.

Quick Start

Generate a PRD from the current context and publish it to the project backlog with the command: /mm-to-prd

Frequently Asked Questions about mm-to-prd

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

FAQPage Schema
How do I generate a PRD from conversation context?

To generate a PRD from conversation context, use the /mm-to-prd command. The Skill synthesizes the current discussion using natural language processing to identify and document project requirements into a Product Requirements Document.

Can I publish a generated product requirements document directly to a project backlog?

Yes, you can publish a generated product requirements document directly to a project backlog. The Skill integrates contextual analysis to format the PRD and pushes it to the backlog for immediate development tracking.

What do I need to create requirement documentation from a project discussion?

To create requirement documentation from a project discussion, you need an active conversation context along with knowledge of the project domain and the current codebase state to ensure accurate contextual analysis.

How does contextual analysis work for backlog item generation?

Contextual analysis for backlog item generation works by applying natural language processing to ongoing conversation context. It identifies key requirements and structures them into a formal PRD for project management use.

What is the best way to document feature requirements based on ongoing discussions?

The best way to document feature requirements based on ongoing discussions is to synthesize the conversation context directly into a structured PRD. This captures project requirements immediately and publishes them to the backlog.

Does this PRD generation method require understanding the current codebase state?

Yes, PRD generation requires understanding the current codebase state and project domain knowledge. This ensures the synthesized requirement documentation aligns with existing technical constraints and project scope.