Summary

This repository provides 86 curated product management "skills" derived from Lenny's Podcast, designed to enhance AI agents like Claude Code. It offers expert frameworks and best practices from over 90 product leaders, targeting PMs, founders, and product teams seeking to improve practical product development and decision-making.

How It Works

The project structures distilled product management knowledge into markdown files, termed "Skills." These skills equip AI agents with specialized context and workflows. When integrated with Claude Code, the AI can identify product-related tasks and apply relevant strategies and best practices from renowned industry experts, facilitating more informed and effective product work.

Quick Start & Requirements

Installation is straightforward via the npx skills add RefoundAI/lenny-skills command (recommended CLI). Alternative methods include cloning the repository, using a Git submodule, or forking. The primary requirement is the Claude Code AI agent. No specific hardware, CUDA, or Python version dependencies are listed.

Highlighted Details

• Comprises 86 distinct product management skills, extracted from over 100 episodes of Lenny's Podcast.
• Features insights from prominent product leaders such as Shreyas Doshi, Marty Cagan, and Elena Verna.
• Skills are categorized into key areas including Hiring & Team Building, User Research, Strategy & Planning, Shipping & Execution, Leadership & Alignment, Growth & Monetization, Sales & Go-to-Market, and AI & Technology.
• Aims to provide actionable frameworks and best practices directly usable by AI agents for real-world product challenges.

Maintenance & Community

Contributions are welcomed through pull requests for improving existing skills or adding new ones. The project is built by Refound AI. No specific community channels (e.g., Discord, Slack) or a public roadmap are detailed in the README.

Licensing & Compatibility

The repository is licensed under the MIT license. This permissive license generally allows for broad usage, including commercial applications and integration into closed-source projects, provided attribution is maintained.

Limitations & Caveats

The utility of these skills is contingent upon the AI agent's interpretation and application capabilities. The content is derived from expert advice and frameworks, not executable code, and its effectiveness may vary based on the specific context and the AI's performance. No explicit mention of ongoing maintenance beyond community contributions is present.