PRD Generator

Trust Score 88/100

Generates structured Product Requirements Documents (PRDs) with clarifying questions, user stories, functional requirements, non-goals and success metrics — for

triggers:create a prdwrite prdplan this featurespec outrequirements document

GitHub SKILL.md

What it does

This skill guides the agent to produce detailed, implementation-ready Product Requirements Documents (PRDs). It prompts for 3–5 clarifying questions, structures the PRD into introduction, goals, user stories with verifiable acceptance criteria, functional requirements, non-goals, technical considerations, and success metrics, and outputs a markdown file for tasks.

When to use it

Use when planning a new feature, scoping work for implementation, or preparing a handoff to engineering (including junior developers). Trigger when asked to create a PRD, spec a feature, or plan a project.

What's included

Scripts: none detected (has_scripts=false)
References: none detected
Instructions: explicit templates for clarifying questions, PRD sections, example PRD, and a checklist to ensure completeness. Guidance for writing verifiable acceptance criteria and UI verification steps is included.

Compatible agents

Designed for use by developer-assistant agents (Claude, Codex, OpenCode, Amp, Gemini CLI, Cursor).

Audit Summary

A well-structured PRD generator skill that guides agents through clarifying questions and produces detailed Product Requirements Documents. No scripts bundled — purely instruction-based via SKILL.md. Clean frontmatter with good metadata, clear step-by-step workflow, and a comprehensive example PRD. Minor deduction: no input/output contracts beyond 'save to tasks/' and lettered-option questions lack a formal schema.

Watch Out

Output path is hardcoded to tasks/ — may not exist in all workspaces
No validation that clarifying questions were answered before generating PRD

Notes

Pure instruction skill, no executable code. Well-written with good example. References 'dev-browser skill' in acceptance criteria which is a cross-dependency. Broad compatibility listed (claude, opencode, amp, codex, gemini, cursor, pi). MIT licensed. No security concerns whatsoever — no network calls, no scripts, no destructive actions.

Information

Repository: my-ai-tools
Stars: 75
Installs: 0

Trust Score

Overall88

Security95

Code Quality82

Architecture78

Usefulness72

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