pmYangKun

pmYangKun / check-prd-skill

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根据《决胜B端》《决胜体验设计》的方法论，检查PRD的设计，给出建议。

38
5
100% credibility
Found Apr 10, 2026 at 38 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project offers prompts and setup instructions for AI tools to systematically review B2B product requirements documents across 14 dimensions based on proven methodologies from expert books.

How It Works

1
🔍 Discover the PRD reviewer

You hear about a helpful tool that uses smart AI to check business product plans for mistakes and improvements.

2
Pick your starting way
📥
Grab the ready prompt

Download a special guide and paste it into any AI chat like a magic checklist.

🛠️
Set up in AI helper

Follow easy steps to add the tool right into your AI chat for quick commands.

3
📄 Share your product plan

Upload or paste your business product document into the AI chat.

4
✨ AI does the deep review

The AI scans your plan across 14 key areas like business fit, user flows, and risks, spotting issues you might miss.

5
📋 Get your feedback report

You receive a clear list of problems ranked by importance, plus smart suggestions to make it better.

🎉 Your plan is polished

With the fixes applied, your product document is now strong, clear, and ready to build successfully.

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Star Growth

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AI-Generated Review

What is check-prd-skill?

This Python skill deploys AI to check PRD documents for B-end products, drawing from methodologies in "Deciding B-End" and "Deciding Experience Design." It evaluates 14 dimensions like business context, data models, UX flows, and commercial viability, outputting prioritized issues (P0-P3) and tailored suggestions. Users get instant reviews via a universal prompt for any LLM like ChatGPT or Claude, or a one-command Claude integration: `/check-prd your-prd.pdf`.

Why is it gaining traction?

It stands out by adapting checks to product type—SaaS vs. internal tools—avoiding generic checklists that miss nuances. Pairs perfectly with create-prd for a full write-review-iterate loop, and works across models without setup hassles. Developers hook on the book-backed rigor, turning vague PRD gut-checks into structured, actionable feedback.

Who should use this?

B-end product managers drafting SaaS specs or enterprise workflows, needing quick quality gates before dev handoff. Teams reviewing internal tools for data integrity and exception handling. Chinese-market PMs or consultants familiar with the source books, validating PRDs against battle-tested frameworks.

Verdict

Grab it for PRD checks if you're in B-end—solid docs and zero-install LLM option make it low-risk to try, despite 38 stars and 1.0% credibility signaling early maturity. Expect refinements as adoption grows; pair with stronger models like Claude Opus for best results.

(182 words)

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