Product-Manager-Skills: AI-Powered Framework for Product Management Excellence
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Summary
Product-Manager-Skills is a comprehensive GitHub repository offering a framework of 77 battle-tested product management skills. Designed for AI agents like Claude, Codex, and ChatGPT, it helps product managers and their AI counterparts achieve professional-level work. This resource aims to provide both functional tools and pedagogic insights into effective product management practices.
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Introduction
The Product-Manager-Skills repository, created by deanpeters, provides a robust framework of 77 battle-tested product management skills. This resource is specifically designed to empower AI agents, such as Claude Code, Cowork, Codex, and other AI tools, to perform product management tasks with professional rigor. It addresses the common challenge of generic AI output by providing structured knowledge, enabling agents to understand the "why" behind frameworks, avoid failure modes, and apply judgment correctly. The repository serves a dual purpose, equipping AI agents to execute PM work at a high level while simultaneously teaching human product managers the underlying reasoning.
Installation
Getting started with Product-Manager-Skills is straightforward, with options tailored for various platforms:
- Claude Desktop or Claude Web: Download the
pm-skills-starter-pack.zipfrom the GitHub Releases. Unzip the package and upload individual skill ZIPs to Claude Skills. - Claude Code: Utilize the plugin marketplace by running
claude /plugin marketplace add deanpeters/Product-Manager-Skills. - Codex: Download
pm-skills-codex.zipfrom GitHub Releases, which installs into.agents/skillsandAGENTS.md. - Streamlit Playground (Beta): For those not ready to integrate skills directly, a local playground is available. Install dependencies with
pip install -r app/requirements.txtand run withstreamlit run app/main.py. This allows you to browse, find, and run skills in your browser.
Detailed installation guides for each platform are available in the repository's docs directory.
Examples
The framework covers a wide array of product management disciplines. Here are a few examples of the skills you can leverage:
- Framing and Strategy:
problem-framing-canvas: Uses MITRE's sequence to prevent solving the wrong problem.product-strategy-session: A full strategy arc covering positioning, problem framing, solution exploration, and roadmap.
- Stakeholder Alignment:
stakeholder-identification: Maps every stakeholder, from broad brainstorm to priority targets.stakeholder-engagement-advisor: Provides tailored engagement planning based on stakeholder profiles and context.
- Customer Discovery and Research:
discovery-interview-prep: Plans Mom Test-style interviews based on your research goals.opportunity-solution-tree: Generates opportunities and solutions, recommending the best proof-of-concept.
- Prioritization and Roadmapping:
prioritization-advisor: Recommends RICE, ICE, Kano, or other frameworks based on your context.roadmap-planning: Guides through gathering inputs, defining epics, prioritizing, sequencing, and communicating the roadmap.
- Writing PM Deliverables:
user-story: Mike Cohn format with Gherkin acceptance criteria and anti-patterns.prd-development: Structured PRD covering problem, personas, solution, metrics, and stories.
Why Use Product-Manager-Skills?
This repository addresses a critical need for product managers working with AI. Generic AI outputs often lack the depth and context required for effective product development. Product-Manager-Skills provides a shared professional foundation for both humans and AI agents, ensuring that the "why" behind each framework, common failure modes, and correct application judgment are understood. This leads to more reliable AI assistance and enhances the PM's own understanding and ability to adapt frameworks.
The skills are organized into three tiers:
- Workflow Skills (19): Complete end-to-end PM processes, taking days to weeks.
- Interactive Skills (27): Guided discovery through 3-5 questions, offering recommendations with clear rationales.
- Component Skills (24): Templates for specific PM deliverables, typically taking 30-90 minutes.
Interactive skills, in particular, employ an Adaptive Decision Ladder, coaching users through context-specific questions to deliver tailored recommendations and explain the underlying principles.
Links
- GitHub Repository: deanpeters/Product-Manager-Skills
- Latest Releases: GitHub Releases
- Streamlit Playground Documentation:
app/STREAMLIT_INTERFACE.md - Full Skill Catalog:
catalog/INDEX.md
Source repository
Open the original repository on GitHub.