prd-planner

Generate PRD structures with self-contained threads and reasoning levels.

5|Updated Jan 16, 2026
One-click install
npx skills add https://github.com/jmichaelschmidt/skills-public --skill prd-planner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prd-planner
Source: https://github.com/jmichaelschmidt/skills-public/tree/main/skills/prd-planner
Command: npx skills add https://github.com/jmichaelschmidt/skills-public --skill prd-planner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables AI assistants to generate structured PRD planning documents by dividing work into self-contained threads with explicit reasoning level estimates, improving clarity and token efficiency.

Core Features & Use Cases

  • Thread Isolation: Each task is scoped for a single conversation to keep context focused.
  • Reasoning Economy: Align cognitive effort with task complexity to optimize model usage.
  • Self-Contained Context: Every thread contains all information needed to execute independently.
  • PRD Creation Process: Steps from understanding scope to validating completion, guided by a reusable template.
  • Use Cases: Plan implementation work, decompose features into tasks, create roadmaps, and structure AI-assisted development.

Quick Start

Use this skill to generate a PRD for implementing a new onboarding flow.

Frequently Asked Questions about prd-planner

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

FAQPage Schema
How do I break down a product roadmap into self-contained tasks for AI-assisted development?

To break down a product roadmap, this Skill decomposes product work into self-contained threads, scoping each task for a single conversation to keep context focused and ensure independent execution.

What is reasoning level estimation in PRD documentation and how does it optimize token usage?

Reasoning level estimation aligns cognitive effort with task complexity in PRD documentation, optimizing model usage and token efficiency by matching the reasoning depth required for each specific task.

How do I structure a PRD for feature planning so each task has all the context needed to execute independently?

To structure a PRD for feature planning, this Skill uses a reusable template that ensures every thread contains all self-contained context needed to execute independently without external dependencies.

Can I use task decomposition to plan implementation work across multiple teams and projects?

Yes, task decomposition applies to feature planning, roadmaps, and AI-assisted development across teams and projects, generating PRD structures with validation targets and deliverables for each scoped thread.

What's the best way to create a PRD for implementing a new onboarding flow using AI agents?

The best way to create a PRD for a new onboarding flow is generating a structured planning document divided into threads with explicit reasoning level estimates, guided by reusable templates and validation targets.

When should I not use threaded PRD planning for documenting product work?

Threaded PRD planning should not be used for simple tasks that do not require decomposition or when cognitive effort alignment is unnecessary, as the structured template and reasoning level estimates add overhead better suited for complex feature planning.