Agent skill · Documentation

product-manager-toolkit

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.

anbeimegithub.com/anbeimeGitHub ↗
claude-codeships scripts
Install
npx skills add anbeime/skill --skill product-manager-toolkit --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 12 KB
Bundled scripts: yes
Path: skills/product-manager-toolkit/product-manager-toolkit/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 4,714
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Product Manager Toolkit Essential tools and frameworks for modern product management, from discovery to delivery. ## Quick Start ### For Feature Prioritization ```bash python scripts/rice_prioritizer.py sample # Create sample CSV python scripts/rice_prioritizer.py sample_features.csv --capacity 15 ``` ### For Interview Analysis ```bash python scripts/customer_interview_analyzer.py interview_transcript.txt ``` ### For PRD Creation 1. Choose template from `references/prd_templates.md` 2. Fill in sections based on discovery work 3. Review with stakeholders 4. Version control in your PM tool ## Core Workflows ### Feature Prioritization Process 1. **Gather Feature Requests** - Customer feedback - Sales requests - Technical debt - Strategic initiatives 2. **Score with RICE** ```bash # Create CSV with: name,reach,impact,confidence,effort python scripts/rice_prioritizer.py features.csv ``` - **Reach**: Users affected per quarter - **Impact**: massive/high/medium/low/minimal - **Confidence**: high/medium/low - **Effort**: xl/l/m/s/xs (person-months) 3. **Analyze Portfolio** - Review quick wins vs big bets - Check effort distribution - Validate against strategy 4. **Generate Roadmap** - Qu

What's inside
Steps it walks through
  1. Quick Start
  2. For Feature Prioritization
  3. For Interview Analysis
  4. For PRD Creation
  5. Core Workflows
  6. Feature Prioritization Process
  7. Customer Discovery Process
  8. PRD Development Process
  9. Key Scripts
  10. riceprioritizer.py
  11. customerinterviewanalyzer.py
  12. Reference Documents
  13. prdtemplates.md
  14. Prioritization Frameworks
Ships with 3 files
  • references/prd_templates.md
  • scripts/customer_interview_analyzer.py
  • scripts/rice_prioritizer.py
Commands it runs
python scripts/rice_prioritizer.py sample  # Create sample CSV
python scripts/rice_prioritizer.py sample_features.csv --capacity 15
python scripts/customer_interview_analyzer.py interview_transcript.txt
python scripts/rice_prioritizer.py features.csv
python scripts/customer_interview_analyzer.py transcript.txt
Basic prioritization
With custom team capacity (person-months per quarter)
python scripts/rice_prioritizer.py features.csv --capacity 20
Output as JSON for integration
python scripts/rice_prioritizer.py features.csv --output json
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About this skill
What does the product-manager-toolkit skill do?

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.

How do I install it?

Run `npx skills add anbeime/skill --skill product-manager-toolkit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From anbeime/skill, a repository with 4,714 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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