How does this skill use my existing codebase?

Unlike standalone PM tools, this skill can reference your actual APIs, architecture, and technical constraints to ensure that PRDs and feature analyses are technically feasible.

Where are the product artifacts stored?

All generated artifacts, such as PRDs, roadmaps, and decision logs, are created as Markdown files that can be version-controlled in Git alongside your source code.

Can this skill make final product decisions?

No, the skill acts as an assistant by providing data-driven analysis, structured documentation, and recommendations. The final strategic decision-making remains the responsibility of the Product Manager.

Which prioritization frameworks does it support?

It supports several industry-standard frameworks including RICE (Reach, Impact, Confidence, Effort), ICE, Value vs. Effort matrices, and the Kano Model.

Product Management AI

Name: Product Management AI
Author: Microck

byMicrock

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コラボレーションツール

Streamlines product management workflows by generating PRDs, analyzing feature requests, and synthesizing user research directly within the codebase.

概要

The Product Management skill transforms Claude into a strategic partner for PMs and developers by integrating product planning directly with technical context. It assists in drafting comprehensive Product Requirements Documents (PRDs), evaluating feature requests using frameworks like RICE or Kano, and synthesizing user research into actionable insights. Because it operates within the development environment, it can reference real-world technical constraints and maintain version-controlled documentation alongside the code, ensuring that product decisions are both data-driven and technically feasible.

主な機能

Synthesis of user research into actionable product insights
Roadmap planning with theme-based and time-horizoned views
81 GitHub stars
Context-aware analysis linking product goals to codebase constraints
Comprehensive PRD generation with technical considerations
Structured feature prioritization using RICE and ICE frameworks

ユースケース

Evaluating a backlog of feature requests to determine high-impact initiatives
Summarizing user research findings into structured documentation for engineering teams
Writing technical PRDs for complex backend or API features

概要

主な機能

Synthesis of user research into actionable product insights
Roadmap planning with theme-based and time-horizoned views
81 GitHub stars
Context-aware analysis linking product goals to codebase constraints
Comprehensive PRD generation with technical considerations
Structured feature prioritization using RICE and ICE frameworks

ユースケース

Evaluating a backlog of feature requests to determine high-impact initiatives
Summarizing user research findings into structured documentation for engineering teams
Writing technical PRDs for complex backend or API features