pm-aiprd

Generates an AI-executable PRD from PMContext with traceable stories and criteria.

1|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/Wcof/PMSkill --skill pm-aiprd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pm-aiprd
Source: https://github.com/Wcof/PMSkill/tree/main/skills/delivery/pm-aiprd
Command: npx skills add https://github.com/Wcof/PMSkill --skill pm-aiprd

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill turns a completed PMContext into an AI-executable PRD that engineering agents can act on immediately. It helps teams avoid vague requirements by converting product context into traceable user stories, implementation rules, acceptance criteria, risk handling, and technical execution context.

Core Features & Use Cases

  • AI-ready PRD generation: Produces a structured PRD with Agent Context, executable rules, data model, acceptance criteria, and out-of-scope boundaries.
  • Strict traceability and risk isolation: Appends PMContext trace markers to every story and rule, while isolating [待确认], [假设], and [冲突] items into risk handling instead of letting them become false certainty.
  • Pre-flight validation: Stops or downgrades output when PMContext is missing, unresolved items are too high, or delivery items cannot be traced back to prior decisions and risks.
  • Use case: When a PM has already run discovery and needs a document that an AI coding agent can use directly, this Skill creates a build-ready AI PRD without mixing human-review content and machine-execution requirements.

Quick Start

Ask the agent to run pm-aiprd after PMContext exists to generate an AI-ready PRD with executable rules, acceptance criteria, traceability markers, and risk isolation.

Frequently Asked Questions about pm-aiprd

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

FAQPage Schema
How do I generate an AI-executable PRD from existing product context?

AI-ready PRD generation works by extracting Agent Context from your PMContext to produce executable rules, a data model, and acceptance criteria with explicit out-of-scope boundaries for technical handoff.

What's the best way to ensure AI coding agents receive traceable user stories?

The best way to ensure AI coding agents receive traceable user stories is by appending PMContext trace markers to every generated story and rule, preventing assumptions from becoming false certainty during automated execution.

Do I need a completed PMContext before generating requirements for automated execution?

A completed PMContext is required because pre-flight validation checks for missing context, high unresolved item counts, and untraceable delivery items, stopping or downgrading PRD generation if these thresholds are exceeded.

How does traceability handle missing information or conflicts in product requirements?

Traceability handles missing information and conflicts by isolating pending, assumed, and conflicting items into explicit risk handling sections, ensuring they do not become false certainty in the AI-executable PRD.