/product-manager-toolkit
Use when the user needs product management workflows such as RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, go-to-market strategy, feature prioritization, research synthesis, or requirements documentation.
$ npx -y skills add majiayu000/spellbook --skill product-manager-toolkit --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/product-manager-toolkit
Context preview
The summary Claude sees to decide when to auto-load this skill.
Use when the user needs product management workflows such as RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, go-to-market strategy, feature prioritization, research synthesis, or requirements documentation.
SKILL.md
product-manager-toolkit.SKILL.mdname: product-manager-toolkit
description: Use when the user needs product management workflows such as RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, go-to-market strategy, feature prioritization, research synthesis, or requirements documentation.
Product Manager Toolkit Skill
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
│ └── Solution B
└── Opportunity 2
├──Read more
name: product-manager-toolkit description: Use when the user needs product management workflows such as RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, go-to-market strategy, feature prioritization, research synthesis, or requirements documentation.
Product Manager Toolkit Skill
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
│ └── Solution B
└── Opportunity 2
├──Cross-runtime skills for Claude Code, Codex, and multi-agent workflows.
Repo: majiayu000/spellbook
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