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product-manager-toolkit

579 stars 112 forks
0
B

Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization, user research synthesis, requirement documentation, and product strategy development.

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#claude-ai#prioritization#claudecode-subagents#claude-ai-skills#RICE#customer interview#feature#features

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install alirezarezvani/claude-skills/product-manager-toolkit
skilz install alirezarezvani/claude-skills/product-manager-toolkit --agent opencode
skilz install alirezarezvani/claude-skills/product-manager-toolkit --agent codex
skilz install alirezarezvani/claude-skills/product-manager-toolkit --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/alirezarezvani/claude-skills
2. Copy the agent skill directory:
cp -r claude-skills/product-team/product-manager-toolkit ~/.claude/skills/
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Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Owner
alirezarezvani (GitHub)
Repository
claude-skills
Stars
579
Forks
112
Type
Other
Meta-Domain
Primary Domain
Market Score
0
Agentic Skill Grades →

Agent Skill Grade

B
Score: 80/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
22/30
Ease of Use
19/25
Writing Style
7/10
Utility
17/20
Modifiers: +3

Areas to Improve

  • Missing TOC in 352-line SKILL.md
  • Verbose SKILL.md with inline detail
  • Second-person voice usage

Recommendations

  • Address 2 high-severity issues first
  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 2026-01-24

Developer Feedback

I took a look at how you've structured the product-manager-toolkit skill—the way you've organized the mental models and frameworks for different PM scenarios is pretty thoughtful. What made you decide to go heavy on the decision-making frameworks rather than process templates?

Links:

The TL;DR

You're at 80/100, solid B territory. This is graded against Anthropic's best practices for token efficiency, ease of use, and practical utility. Your strongest area is Utility (17/20)—the RICE prioritizer and PRD tools actually solve real PM problems. Weakest area is Writing Style (7/10)—some verbose sections and inconsistent voice that's holding you back from the high 80s.

What's Working Well

  • Practical Python tools - The rice_prioritizer.py and prd_templates.md actually generate working output; not just theory
  • Clear trigger phrases - "RICE prioritization", "PRD", "customer interview" make it easy to know when to use this
  • Good framework scaffolding - RICE formula, MoSCoW, Opportunity Solution Tree are well-explained in context
  • Modular structure - References and scripts are cleanly separated from the main SKILL.md

The Big One: Missing TOC + Verbose SKILL.md

Your SKILL.md is 352 lines without a table of contents—that's a hard miss on Progressive Disclosure Architecture (PDA). More importantly, you're burying the lead. Half that content (RICE formula, MoSCoW definitions, customer interview guides, best practices) belongs in references/frameworks.md.

The fix: Add a TOC to SKILL.md, then move the detailed frameworks to a new reference file. Keep SKILL.md as the cockpit (overview + quick start), let references hold the manuals. This'll tighten your token usa...

AI-Detected Topics

Extracted using NLP analysis

claude-ai prioritization claudecode-subagents claude-ai-skills RICE customer interview feature features analysis claude-skills

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