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Product Manager Toolkit
ASecurityEssential tools and frameworks for modern product management, from discovery to delivery.
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- Added September 11, 2026
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[](https://www.skillsdirectory.com/skills/ranbot-ai-product-manager-toolkit)---
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
```bash
python scripts/rice_prioritizer.py sample # Create sample CSV
python scripts/rice_prioritizer.py sample_features.csv --capacity 15
```
### For Interview Analysis
```bash
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**
```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**:
```bash
# 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**:
```bash
# 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
### Cu
Attribution
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