Product-Manager-Skills  by deanpeters

AI agent frameworks for professional product management

Created 1 month ago
1,055 stars

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Project Summary

Product Management Skills provides a framework of 46 "battle-tested" skills designed to enable AI agents to perform professional product management tasks. It targets AI developers and product managers seeking to enhance AI capabilities for strategic decision-making, problem framing, and opportunity assessment, aiming for faster, more consistent, and higher-level outcomes.

How It Works

The project utilizes a three-tier architecture comprising Component Skills (templates for specific deliverables like user stories), Interactive Skills (guided, multi-turn conversations for decision support), and Workflow Skills (orchestrating multiple skills for end-to-end processes like PRD development). These skills are distilled from established product management methodologies and client work, formatted for direct AI comprehension to ensure consistent, professional execution without repetitive prompting.

Quick Start & Requirements

  • Primary install / run command: For the beta Streamlit playground: pip install -r app/requirements.txt followed by streamlit run app/main.py.
  • Non-default prerequisites and dependencies: Python, Streamlit. Supports multiple AI providers (Anthropic, OpenAI, Ollama) via environment variables (app/.env.example).
  • Links: Streamlit interface documentation (app/STREAMLIT_INTERFACE.md), environment example (app/.env.example), GitHub Issues for feedback.

Highlighted Details

  • Features 46 agent-ready product management skills, categorized into Component, Interactive, and Workflow types.
  • Includes a Streamlit (beta) playground for local testing with multi-provider and model selection.
  • Offers new Career & Leadership skills suites for PM-to-Director and Director-to-VP/CPO transitions.
  • Provides a Skill Creation Utility suite (scripts/add-a-skill.sh, etc.) for generating and validating new skills.

Maintenance & Community

Developed by Dean Peters (Productside.com). Feedback and contributions are welcomed via GitHub Issues and LinkedIn. Detailed contribution guidelines are available in CONTRIBUTING.md.

Licensing & Compatibility

  • License type: CC BY-NC-SA 4.0 (Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International).
  • Compatibility notes: This license restricts usage to non-commercial purposes and requires any derivative works to be shared under the same license.

Limitations & Caveats

The Streamlit playground is currently in beta. Optional scripts within the repository require auditing before execution due to their deterministic nature and potential for external dependencies.

Health Check
Last Commit

5 days ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
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Star History
1,095 stars in the last 30 days

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