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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

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$ npx -y skills add davila7/claude-code-templates --skill product-manager-toolkit --agent claude-code

SKILL.md

product-manager-toolkit.SKILL.md
name: product-manager-toolkit
description: 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.

Product Manager Toolkit

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

Quick Start

For Feature Prioritization

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

For Interview Analysis

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**

   # 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**

  • Quarterly capacity planning
  • Dependency mapping
  • Stakeholder alignment

Customer Discovery Process

1. **Conduct Interviews**

  • Use semi-structured format
  • Focus on problems, not solutions
  • Record with permission

2. **Analyze Insights**

   python scripts/customer_interview_analyzer.py transcript.txt

Extracts:

  • Pain points with severity
  • Feature requests with priority
  • Jobs to be done
  • Sentiment analysis
  • Key themes and quotes

3. **Synthesize Findings**

  • Group similar pain points
  • Identify patterns across interviews
  • Map to opportunity areas

4. **Validate Solutions**

  • Create solution hypotheses
  • Test with prototypes
  • Measure actual vs expected behavior

PRD Development Process

1. **Choose Template**

  • **Standard PRD**: Complex features (6-8 weeks)
  • **One-Page PRD**: Simple features (2-4 weeks)
  • **Feature Brief**: Exploration phase (1 week)
  • **Agile Epic**: Sprint-based delivery

2. **Structure Content**

  • Problem → Solution → Success Metrics
  • Always include out-of-scope
  • Clear acceptance criteria

3. **Collaborate**

  • Engineering for feasibility
  • Design for experience
  • Sales for market validation
  • Support for operational impact

Key Scripts

rice_prioritizer.py

Advanced RICE framework implementation with portfolio analysis.

**Features**:

  • RICE score calculation
  • Portfolio balance analysis (quick wins vs big bets)
  • Quarterly roadmap generation
  • Team capacity planning
  • Multiple output formats (text/json/csv)

**Usage Examples**:

# Basic prioritization
python scripts/rice_prioritizer.py features.csv

# 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

customer_interview_analyzer.py

NLP-based interview analysis for extracting actionable insights.

**Capabilities**:

  • Pain point extraction with severity assessment
  • Feature request identification and classification
  • Jobs-to-be-done pattern recognition
  • Sentiment analysis
  • Theme extraction
  • Competitor mentions
  • Key quotes identification

**Usage Examples**:

# Analyze single interview
python scripts/customer_interview_analyzer.py interview.txt

# Output as JSON for aggregation
python scripts/customer_interview_analyzer.py interview.txt json

Reference Documents

prd_templates.md

Multiple PRD formats for different contexts:

1. **Standard PRD Template**

  • Comprehensive 11-section format
  • Best for major features
  • Includes technical specs

2. **One-Page PRD**

  • Concise format for quick alignment
  • Focus on problem/solution/metrics
  • Good for smaller features

3. **Agile Epic Template**

  • Sprint-based delivery
  • User story mapping
  • Acceptance criteria focus

4. **Feature Brief**

  • Lightweight exploration
  • Hypothesis-driven
  • Pre-PRD phase

Prioritization Frameworks

RICE Framework

Score = (Reach × Impact × Confidence) / Effort

Reach: # of users/quarter
Impact: 
  - Massive = 3x
  - High = 2x
  - Medium = 1x
  - Low = 0.5x
  - Minimal = 0.25x
Confidence:
  - High = 100%
  - Medium = 80%
  - Low = 50%
Effort: Person-months

Value vs Effort Matrix

         Low Effort    High Effort
         
High     QUICK WINS    BIG BETS
Value    [Prioritize]   [Strategic]
         
Low      FILL-INS      TIME SINKS
Value    [Maybe]       [Avoid]

MoSCoW Method

  • **Must Have**: Critical for launch
  • **Should Have**: Important but not critical
  • **Could Have**: Nice to have
  • **Won't Have**: Out of scope

Discovery Frameworks

Customer Interview Guide

1. Context Questions (5 min)
   - Role and responsibilities
   - Current workflow
   - Tools used

2. Problem Exploration (15 min)
   - Pain points
   - Frequency and impact
   - Current workarounds

3. Solution Validation (10 min)
   - Reaction to concepts
   - Value perception
   - Willingness to pay

4. Wrap-up (5 min)
   - Other thoughts
   - Referrals
   - Follow-up permission

Hypothesis Template

We believe that [building this feature]
For [these users]
Will [achieve this outcome]
We'll know we're right when [metric]

Opportunity Solution Tree

Outcome
├── Opportunity 1
│   ├── Solution A
│   └── So
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product-manager-toolkit installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.