deanpeters

deanpeters / Product-Manager-Skills

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Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.

ai-agents ai-product-management claude-skills pm-frameworks product-management
585
77
100% credibility
Found Feb 10, 2026 at 17 stars 35x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A curated collection of 42 structured frameworks and templates designed to train AI agents on professional product management practices across components, interactive guides, and full workflows.

How It Works

1
🔍 Discover PM Skills

You hear about a collection of ready-to-use guides that teach AI assistants how to handle product management tasks like a pro.

2
📚 Browse the Guides

You look through the organized list of templates, helpers, and full processes for things like writing user stories or planning roadmaps.

3
Choose Your Guide Type
📄
Quick Template

Grab a ready-made format for documents like personas or PRDs.

💬
Guided Helper

Start a chat where the AI asks questions and gives tailored advice.

🔄
Full Process

Follow an end-to-end plan for big tasks like strategy sessions.

4
📤 Share with AI

Copy the guide into your favorite AI chat like Claude or ChatGPT.

5
✨ AI Creates Pro Work

Your AI instantly applies the guide to produce polished product plans, stories, or analyses just like an expert would.

🎉 Work Smarter

You save hours, get consistent results, and focus on big decisions instead of explaining basics every time.

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AI-Generated Review

What is Product-Manager-Skills?

This GitHub repo delivers 42 structured frameworks as "skills" for AI agents like Claude Code, Cowork, Codex, ChatGPT, and Gemini, turning them into reliable product managers. Instead of vague prompts yielding generic output, it equips agents with templates for PRDs, user stories, prioritization, market sizing, and full workflows like discovery or roadmapping. Built in Shell with Python helpers, it includes CLI tools to search, test, generate, and package skills for easy upload to AI platforms.

Why is it gaining traction?

It stands out by distilling real-world product management tools from experts like Teresa Torres and Geoffrey Moore into agent-ready formats, complete with examples, pitfalls, and validation scripts—far beyond basic prompts. The build system lets you add custom skills via wizards or AI-assisted flows, and zip tools create upload-ready packs for marketplaces. Developers notice consistent, professional AI output that scales across agents without constant re-prompting.

Who should use this?

Product managers and owners building AI-assisted workflows, especially those in product management jobs or berlin hubs chasing certification-level efficiency. Ideal for teams short on PM bandwidth, running product strategy sessions, or auditing portfolios with tools like TAM/SAM/SOM calculators and prioritization advisors. Suits indie hackers prototyping features or consultants training juniors on required product manager skills.

Verdict

Early maturity with just 11 stars and 1.0% credibility score signals a niche gem, not production-ready at scale, but solid docs and test scripts make it low-risk to fork. Try the core preset for PM tools if you're experimenting with AI agents—strong foundation for a product management system. (198 words)

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