| name | product-manager-toolkit |
| description | Essential tools and frameworks for modern product management, from discovery to delivery. |
| category | Document Processing |
| source | antigravity |
| tags | ["python","react","ai","workflow","template","design","document","cro"] |
| url | https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/product-manager-toolkit |
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
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
- Choose template from
references/prd_templates.md
- Fill in sections based on discovery work
- Review with stakeholders
- Version control in your PM tool
Core Workflows
Feature Prioritization Process
-
Gather Feature Requests
- Customer feedback
- Sales requests
- Technical debt
- Strategic initiatives
-
Score with RICE
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)
-
Analyze Portfolio
- Review quick wins vs big bets
- Check effort distribution
- Validate against strategy
-
Generate Roadmap
- Quarterly capacity planning
- Dependency mapping
- Stakeholder alignment
Customer Discovery Process
-
Conduct Interviews
- Use semi-structured format
- Focus on problems, not solutions
- Record with permission
-
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
-
Synthesize Findings
- Group similar pain points
- Identify patterns across interviews
- Map to opportunity areas
-
Validate Solutions
- Create solution hypotheses
- Test with prototypes
- Measure actual vs expected behavior
PRD Development Process
-
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
-
Structure Content
- Problem → Solution → Success Metrics
- Always include out-of-scope
- Clear acceptance criteria
-
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:
python scripts/rice_prioritizer.py features.csv
python scripts/rice_prioritizer.py features.csv --capacity 20
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:
python scripts/customer_interview_analyzer.py interview.txt
python scripts/customer_interview_analyzer.py interview.txt json
Reference Documents
prd_templates.md
Multiple PRD formats for different contexts:
-
Standard PRD Template
- Comprehensive 11-section format
- Best for major features
- Includes technical specs
-
One-Page PRD
- Concise format for quick alignment
- Focus on problem/solution/metrics
- Good for smaller features
-
Agile Epic Template
- Sprint-based delivery
- User story mapping
- Acceptance criteria focus
-
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
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