joeseesun/qiaomu-ai-prd — explained in plain English
Analysis updated 2026-05-18
Turn a one-line app idea into a complete PRD with personas, page layouts, and data models.
Hand an AI coding assistant a document that clearly separates fixed constraints from areas it can improve.
Check a generated PRD against a quality bar using the bundled lint script before starting development.
| joeseesun/qiaomu-ai-prd | jackson-video-resources/markov-hedge-fund-method | virtualluoucas/chronicles-ocr | |
|---|---|---|---|
| Stars | 118 | 120 | 116 |
| Language | Python | Python | Python |
| Setup difficulty | easy | easy | hard |
| Complexity | — | 3/5 | 4/5 |
| Audience | vibe coder | developer | researcher |
Figures from each repo's GitHub metadata at analysis time.
Installs as a single skill command, no external infra required.
qiaomu-ai-prd is a tool that takes a one-sentence product idea and turns it into a full Product Requirements Document that both human developers and AI coding assistants can actually execute. The goal is not to fill a template but to make the product decisions for you, writing them in a form that is clear enough to hand directly to an AI programmer. You install it as a skill using a single command, then describe what you want to build in plain language. For example, you could say "write a PRD for an English vocabulary learning website" or "create a PRD for an iOS teleprompter, mobile-first." The tool processes that request and produces a structured document covering product positioning, user personas, differentiation from competitors, and feasibility limits. The output goes well beyond a summary. Each PRD includes a speed-read card at the top for quick orientation, then sections covering the page layout in ASCII diagrams, every major module with realistic content, failure paths alongside the normal flow, and data models with inline comments. There is also a set of hard constraints (things the AI must not change), recommended defaults, and a "creative space" section that tells the AI where it is free to go further. Version 0.2 added the constraint and creative-space layers specifically so AI coding assistants know which decisions are fixed and which are open invitations to do more. This distinction prevents AI tools from drifting away from what matters while still giving them room to improve the details. The document closes with a developer handoff written directly to the implementing AI assistant, a list of overdelivery opportunities, performance metrics expressed as numbers rather than vague words, and acceptance scripts that describe what "done" looks like. The lint script bundled with the skill lets you check whether a generated PRD meets the quality bar before handing it off.
qiaomu-ai-prd turns a one-sentence product idea into a full, detailed Product Requirements Document that AI coding assistants can execute directly.
Mainly Python. The stack also includes Python.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.