How does the RICE prioritization tool work?

The skill uses a Python-based RICE Prioritizer that calculates scores based on Reach, Impact, Confidence, and Effort, categorizing features into 'Quick Wins', 'Big Bets', or 'Money Pits' for roadmap planning.

Does it support agile development workflows?

Absolutely. The agent generates user stories that follow the INVEST criteria, creates acceptance criteria, and provides templates for agile ceremonies and sprint planning.

Can this skill analyze user interview transcripts?

Yes, it includes a Customer Interview Analyzer that uses NLP to identify recurring themes, feature requests, and sentiment from raw text files or transcripts.

What documentation does it help generate?

It automates the creation of Product Requirement Documents (PRDs), Feature Briefs, competitive matrices, and OKR frameworks.

Can I use this to create design systems?

Yes, the skill orchestrates a UI Design System sub-skill that can generate design tokens and component architecture documentation to ensure design-to-dev consistency.

CS Product Manager Agent

Name: CS Product Manager Agent
Author: zhangzhang-111-i

byzhangzhang-111-i

0•

Productivity & Workflow

Orchestrates the end-to-end product lifecycle including feature prioritization, customer discovery analysis, and strategic roadmap planning.

The CS Product Manager agent is a comprehensive solution designed to bridge the gap between raw user insights and technical execution. By integrating eight specialized sub-skills, it provides a structured framework for data-driven decision-making using RICE prioritization, NLP-powered customer interview analysis, and automated PRD generation. It is an essential toolkit for product managers, owners, and founders who need to synthesize research, align stakeholders with cascaded OKRs, and maintain a high-quality agile backlog without manual overhead.

Key Features

010 GitHub stars

02RICE framework implementation for data-driven feature prioritization and capacity planning

03NLP-based customer interview analysis to extract pain points and 'Jobs-to-be-Done' patterns

04Strategic OKR cascading to align team-level key results with company objectives

05Competitive matrix building and market positioning analysis tools

06Automated generation of INVEST-compliant user stories and professional PRD documentation

Use Cases

01Scaffolding a new SaaS project with consistent design tokens and landing page structures

02Prioritizing a quarterly product roadmap based on impact, reach, and engineering effort

03Synthesizing multiple user research transcripts into actionable feature requirements

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhangzhang-111-i/claude-skills111 cs-product-manager

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02RICE framework implementation for data-driven feature prioritization and capacity planning

03NLP-based customer interview analysis to extract pain points and 'Jobs-to-be-Done' patterns

04Strategic OKR cascading to align team-level key results with company objectives

05Competitive matrix building and market positioning analysis tools

06Automated generation of INVEST-compliant user stories and professional PRD documentation

Use Cases

01Scaffolding a new SaaS project with consistent design tokens and landing page structures

02Prioritizing a quarterly product roadmap based on impact, reach, and engineering effort

03Synthesizing multiple user research transcripts into actionable feature requirements

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhangzhang-111-i/claude-skills111 cs-product-manager

For use in Claude.ai and ChatGPT