Product Manager Toolkit
Product Manager Toolkit is an code AI skill with a core value of Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritizati...
Quick Facts
mkdir -p ./skills/product-manager-toolkit && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/product-manager-toolkit/SKILL.md -o ./skills/product-manager-toolkit/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# 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 15For Interview Analysis
python scripts/customer_interview_analyzer.py interview_transcript.txtFor 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**
- 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**
```bash
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 jsoncustomer_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 jsonReference 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 alignmen
🎯 Best For
- Claude users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Product Manager Toolkit to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is Product Manager Toolkit compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Product Manager Toolkit?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Product Manager Toolkit?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/product-manager-toolkit/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.