Where are the product artifacts stored?

All generated documents are created in markdown format, allowing you to store them directly in your git repository alongside your source code for perfect version control and accessibility.

Does this skill replace a Product Manager?

No, it acts as a force multiplier that handles the heavy lifting of drafting, synthesizing, and organizing documentation, allowing human PMs to focus on high-level strategy and stakeholder relationships.

How does this skill integrate with my code?

Unlike standalone PM tools, this skill can reference your existing APIs, technical constraints, and code architecture to ensure requirements are realistic and technically grounded.

Can I customize the documentation templates?

Yes, the skill is designed to adapt to your organization's specific PRD, roadmap, and decision document formats while maintaining best practices.

Product Management AI

Name: Product Management AI
Author: Activer007

byActiver007

협업 도구

Generates comprehensive product documentation, prioritizes features, and synthesizes user research directly within your development environment.

소개

This skill transforms Claude into a strategic product partner, enabling developers and PMs to bridge the gap between high-level strategy and technical implementation. It facilitates the creation of detailed PRDs, RICE-based feature prioritization, and user research synthesis while remaining context-aware of the underlying codebase. By maintaining product artifacts like roadmaps and decision logs in markdown alongside your code, it ensures that strategic alignment is version-controlled and easily accessible to the entire engineering team.

주요 기능

0 GitHub stars
Automated PRD generation with integrated technical context
Theme-based roadmap planning with time-horizoned structures
Framework-driven feature prioritization using RICE, ICE, and Kano models
Version-controlled product decision logs to maintain institutional memory
Synthesis of raw user research into actionable insights and themes

사용 사례

Evaluating a backlog of tasks based on impact, implementation effort, and technical debt
Communicating the rationale behind product decisions to engineering and business stakeholders
Translating vague feature requests into structured requirements and success metrics

소개

주요 기능

0 GitHub stars
Automated PRD generation with integrated technical context
Theme-based roadmap planning with time-horizoned structures
Framework-driven feature prioritization using RICE, ICE, and Kano models
Version-controlled product decision logs to maintain institutional memory
Synthesis of raw user research into actionable insights and themes

사용 사례

Evaluating a backlog of tasks based on impact, implementation effort, and technical debt
Communicating the rationale behind product decisions to engineering and business stakeholders
Translating vague feature requests into structured requirements and success metrics