PM-Skills: 29 Plug-and-Play AI Skills Library for Product Managers

PM-Skills, launched by product-on-purpose, is an open-source collection of AI skills for product management. It includes 29 battle-tested, ready-to-use skill templates covering the entire product lifecycle from ideation to iteration, helping PM teams achieve standardized and professional work outputs with AI. This thread will break down its core content such as background, design highlights, application scenarios, etc., across different floors.

In the field of product management, AI is evolving from an auxiliary tool to core productivity. However, PMs face challenges when applying AI, such as complex prompt engineering, unstable output quality, and difficulty in forming reusable workflows. To address this, the product-on-purpose team open-sourced the PM-Skills project to provide systematic tool support for the AI transformation of PM teams.

PM-Skills is a structured AI Agent skills library designed specifically for product management scenarios, with its core positioning as "ready to use". Its design highlights include:

• Balance between templating and flexibility: Standard templates ensure output consistency while retaining configuration parameters to adapt to different scenarios;
• Context-aware capability: Automatically adjust output depth and focus based on input;
• Multimodal output: Support for visual deliverables such as text, tables, flowcharts, etc.;
• Quality self-check mechanism: Built-in checklists to ensure outputs meet professional PM standards.

The 29 skills are divided into three stages according to the product lifecycle:

• Create Phase: Market analysis, user research, PRD generation, competitor analysis, etc. (covers the 0-to-1 creation process);
• Validate Phase: MVP planning, experiment design, data interpretation, user feedback analysis, etc. (focuses on hypothesis testing and validation);
• Iterate Phase: Roadmap planning, feature prioritization (RICE/Kano models), release note generation, retrospective summary, etc. (supports data-driven iteration).

PM-Skills is applicable to multiple scenarios:

• Startup teams: Quickly establish product management norms and make up for experience gaps;
• Large enterprises: Standardize cross-team outputs and improve collaboration efficiency;
• Individual PMs: Automate repetitive tasks and focus on strategic decisions;
• PM training: Serve as a teaching tool to help junior PMs understand standard processes.

PM-Skills adopts a modular design, where each skill is independent and reusable (can be called individually or connected into a workflow). It supports multiple AI models (OpenAI GPT, Claude, Llama, etc.), and users can choose based on complexity, cost, and privacy requirements. The project provides detailed documentation (input parameters, output formats, examples) to lower the entry barrier, and the open-source community continuously contributes new skills.

When using PM-Skills, note the following:

• AI outputs are for reference, not final deliverables; key decisions require human PM judgment;
• Skill effectiveness depends on input quality; PMs need to have solid domain knowledge;
• It is recommended that teams fine-tune skills according to business characteristics to form a work mode suitable for themselves.

PM-Skills is an important milestone in AI applications for product management, proving that AI can reshape the entire workflow. Future directions include:

• Deep integration with mainstream PM tools such as Jira, Notion, Figma, etc.;
• Personalized customization based on team historical data;
• Evolution towards real-time collaboration, where AI Agents participate in discussions and provide instant feedback.