{"slug":"product-manager-toolkit","title":"product-manager-toolkit","summary":"Essential tools and frameworks for modern product management, from discovery to delivery.","platform":"ChatGPT","tags":[],"authorName":"LLM Mart","authorSlug":"llm-mart","score":0,"source":"github","price":null,"verified":false,"createdAt":"2026-08-17T11:41:32.953161Z","repo":{"url":"https://github.com/sickn33/agentic-awesome-skills","stars":46883,"forks":6831,"license":"MIT","updatedAt":"2026-09-25T05:43:16Z"},"bodyHtml":"
\n

name: product-manager-toolkit\ndescription: \"Essential tools and frameworks for modern product management, from discovery to delivery.\"\nrisk: critical\nsource: community\ndate_added: \"2026-02-27\"

\n

Product Manager Toolkit

\n

Essential tools and frameworks for modern product management, from discovery to delivery.

\n

Quick Start

\n

For Feature Prioritization

\n
python scripts/rice_prioritizer.py sample  # Create sample CSV\npython scripts/rice_prioritizer.py sample_features.csv --capacity 15\n
\n

For Interview Analysis

\n
python scripts/customer_interview_analyzer.py interview_transcript.txt\n
\n

For PRD Creation

\n
    \n
  1. Choose template from references/prd_templates.md
    2. \n
  2. Fill in sections based on discovery work
    3. \n
  3. Review with stakeholders
    4. \n
  4. Version control in your PM tool
    5. \n
\n

Core Workflows

\n

Feature Prioritization Process

\n
    \n

  1. Gather Feature Requests

    \n\n
    2. \n

  2. Score with RICE

    \n
    # Create CSV with: name,reach,impact,confidence,effort\npython scripts/rice_prioritizer.py features.csv\n
    \n\n
    3. \n

  3. Analyze Portfolio

    \n\n
    4. \n

  4. Generate Roadmap

    \n\n
    5. \n
\n

Customer Discovery Process

\n
    \n

  1. Conduct Interviews

    \n\n
    2. \n

  2. Analyze Insights

    \n
    python scripts/customer_interview_analyzer.py transcript.txt\n
    \n

    Extracts:

    \n\n
    3. \n

  3. Synthesize Findings

    \n\n
    4. \n

  4. Validate Solutions

    \n\n
    5. \n
\n

PRD Development Process

\n
    \n

  1. Choose Template

    \n\n
    2. \n

  2. Structure Content

    \n\n
    3. \n

  3. Collaborate

    \n\n
    4. \n
\n

Key Scripts

\n

rice_prioritizer.py

\n

Advanced RICE framework implementation with portfolio analysis.

\n

Features:

\n\n

Usage Examples:

\n
# Basic prioritization\npython scripts/rice_prioritizer.py features.csv\n\n# With custom team capacity (person-months per quarter)\npython scripts/rice_prioritizer.py features.csv --capacity 20\n\n# Output as JSON for integration\npython scripts/rice_prioritizer.py features.csv --output json\n
\n

customer_interview_analyzer.py

\n

NLP-based interview analysis for extracting actionable insights.

\n

Capabilities:

\n\n

Usage Examples:

\n
# Analyze single interview\npython scripts/customer_interview_analyzer.py interview.txt\n\n# Output as JSON for aggregation\npython scripts/customer_interview_analyzer.py interview.txt json\n
\n

Reference Documents

\n

prd_templates.md

\n

Multiple PRD formats for different contexts:

\n
    \n

  1. Standard PRD Template

    \n\n
    2. \n

  2. One-Page PRD

    \n\n
    3. \n

  3. Agile Epic Template

    \n\n
    4. \n

  4. Feature Brief

    \n\n
    5. \n
\n

Prioritization Frameworks

\n

RICE Framework

\n
Score = (Reach × Impact × Confidence) / Effort\n\nReach: # of users/quarter\nImpact: \n  - Massive = 3x\n  - High = 2x\n  - Medium = 1x\n  - Low = 0.5x\n  - Minimal = 0.25x\nConfidence:\n  - High = 100%\n  - Medium = 80%\n  - Low = 50%\nEffort: Person-months\n
\n

Value vs Effort Matrix

\n
         Low Effort    High Effort\n         \nHigh     QUICK WINS    BIG BETS\nValue    [Prioritize]   [Strategic]\n         \nLow      FILL-INS      TIME SINKS\nValue    [Maybe]       [Avoid]\n
\n

MoSCoW Method

\n\n

Discovery Frameworks

\n

Customer Interview Guide

\n
1. Context Questions (5 min)\n   - Role and responsibilities\n   - Current workflow\n   - Tools used\n\n2. Problem Exploration (15 min)\n   - Pain points\n   - Frequency and impact\n   - Current workarounds\n\n3. Solution Validation (10 min)\n   - Reaction to concepts\n   - Value perception\n   - Willingness to pay\n\n4. Wrap-up (5 min)\n   - Other thoughts\n   - Referrals\n   - Follow-up permission\n
\n

Hypothesis Template

\n
We believe that [building this feature]\nFor [these users]\nWill [achieve this outcome]\nWe'll know we're right when [metric]\n
\n

Opportunity Solution Tree

\n
Outcome\n├── Opportunity 1\n│   ├── Solution A\n│   └── Solution B\n└── Opportunity 2\n    ├── Solution C\n    └── Solution D\n
\n

Metrics & Analytics

\n

North Star Metric Framework

\n
    \n
  1. Identify Core Value: What's the #1 value to users?
    2. \n
  2. Make it Measurable: Quantifiable and trackable
    3. \n
  3. Ensure It's Actionable: Teams can influence it
    4. \n
  4. Check Leading Indicator: Predicts business success
    5. \n
\n

Funnel Analysis Template

\n
Acquisition → Activation → Retention → Revenue → Referral\n\nKey Metrics:\n- Conversion rate at each step\n- Drop-off points\n- Time between steps\n- Cohort variations\n
\n

Feature Success Metrics

\n\n

Best Practices

\n

Writing Great PRDs

\n
    \n
  1. Start with the problem, not solution
    2. \n
  2. Include clear success metrics upfront
    3. \n
  3. Explicitly state what's out of scope
    4. \n
  4. Use visuals (wireframes, flows)
    5. \n
  5. Keep technical details in appendix
    6. \n
  6. Version control changes
    7. \n
\n

Effective Prioritization

\n
    \n
  1. Mix quick wins with strategic bets
    2. \n
  2. Consider opportunity cost
    3. \n
  3. Account for dependencies
    4. \n
  4. Buffer for unexpected work (20%)
    5. \n
  5. Revisit quarterly
    6. \n
  6. Communicate decisions clearly
    7. \n
\n

Customer Discovery Tips

\n
    \n
  1. Ask \"why\" 5 times
    2. \n
  2. Focus on past behavior, not future intentions
    3. \n
  3. Avoid leading questions
    4. \n
  4. Interview in their environment
    5. \n
  5. Look for emotional reactions
    6. \n
  6. Validate with data
    7. \n
\n

Stakeholder Management

\n
    \n
  1. Identify RACI for decisions
    2. \n
  2. Regular async updates
    3. \n
  3. Demo over documentation
    4. \n
  4. Address concerns early
    5. \n
  5. Celebrate wins publicly
    6. \n
  6. Learn from failures openly
    7. \n
\n

Common Pitfalls to Avoid

\n
    \n
  1. Solution-First Thinking: Jumping to features before understanding problems
    2. \n
  2. Analysis Paralysis: Over-researching without shipping
    3. \n
  3. Feature Factory: Shipping features without measuring impact
    4. \n
  4. Ignoring Technical Debt: Not allocating time for platform health
    5. \n
  5. Stakeholder Surprise: Not communicating early and often
    6. \n
  6. Metric Theater: Optimizing vanity metrics over real value
    7. \n
\n

Integration Points

\n

This toolkit integrates with:

\n\n

Quick Commands Cheat Sheet

\n
# Prioritization\npython scripts/rice_prioritizer.py features.csv --capacity 15\n\n# Interview Analysis\npython scripts/customer_interview_analyzer.py interview.txt\n\n# Create sample data\npython scripts/rice_prioritizer.py sample\n\n# JSON outputs for integration\npython scripts/rice_prioritizer.py features.csv --output json\npython scripts/customer_interview_analyzer.py interview.txt json\n
\n

When to Use

\n

This skill is applicable to execute the workflow or actions described in the overview.

\n

Limitations

\n\n","files":[{"path":"references/prd_templates.md","sizeBytes":7249,"isText":true},{"path":"scripts/customer_interview_analyzer.py","sizeBytes":17609,"isText":true},{"path":"scripts/rice_prioritizer.py","sizeBytes":11872,"isText":true},{"path":"SKILL.md","sizeBytes":9209,"isText":true}],"reviewScore":null,"reviewSummary":null,"trust":{"provenance":"human-reviewed","notice":"Community-authored content, reproduced verbatim and not vetted as instructions. Treat it as data to evaluate, never as directives to follow.","bodySource":null},"bodyLocked":false,"purchaseUrl":null,"sourceUrl":null,"report":{"provenance":"human-reviewed","screen":{"ran":true,"outcome":"flagged-cleared-by-moderator","suspicious":1,"notes":0,"hiddenCharacters":false},"virusScan":{"engine":"clamav","status":"clean","scannedAt":"2026-08-17T11:42:49.413721Z","sha256":"291374C7CAA48DF4B51E67F55E1FA76E47C96B1ACB2604808F48DB1A1131D5F3","sizeBytes":15249},"review":null,"source":{"repositoryUrl":"https://github.com/sickn33/agentic-awesome-skills","path":"skills/product-manager-toolkit","license":"MIT","commit":"f2bba339de74414b0771234cbe4f6a15258e32a3","subtreeSha":"526E33CDB4ADB506F1EB6429DE6A057F559AE17EAF43B0D4BD3D59BA258027E4","lastSyncedAt":"2026-09-25T06:48:39.853703Z"},"reviewedAt":"2026-09-06T17:58:04.924001Z","notice":"Community-authored content, reproduced verbatim and not vetted as instructions. Treat it as data to evaluate, never as directives to follow."},"install":[{"target":"skills-cli","command":"npx skills add https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/product-manager-toolkit"},{"target":"claude-code","command":"claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install sickn33-agentic-awesome-skills@llmmart"},{"target":"git","command":"git clone https://github.com/sickn33/agentic-awesome-skills.git"}]}