tools-only Product Team Skills - Claude Code Guidance
This guide covers the 5 production-ready product management skills and their Python automation tools.
Product Skills Overview
Available Skills:
- product-manager-toolkit/ - RICE prioritization, customer interview analysis (2 tools)
- agile-product-owner/ - User story generation, sprint planning (1 tool)
- product-strategist/ - OKR cascade, strategic planning (1 tool)
- ux-researcher-designer/ - Persona generation, user research (1 tool)
- ui-design-system/ - Design token generation, component systems (1 tool)
Total Tools: 6 Python automation tools
Python Automation Tools
1. RICE Prioritizer (product-manager-toolkit/scripts/rice_prioritizer.py)
Purpose: RICE framework implementation for feature prioritization
Formula: (Reach × Impact × Confidence) / Effort
Features:
- Portfolio analysis (quick wins vs big bets)
- Quarterly roadmap generation
- Capacity planning (story points or dev days)
- CSV input/output for Jira/Linear integration
- JSON export for dashboards
Usage:
# Basic prioritization
python product-manager-toolkit/scripts/rice_prioritizer.py features.csv
# With capacity planning
python product-manager-toolkit/scripts/rice_prioritizer.py features.csv --capacity 20
# JSON output
python product-manager-toolkit/scripts/rice_prioritizer.py features.csv --output json
CSV Format:
feature,reach,impact,confidence,effort
User Dashboard,500,3,0.8,5
API Rate Limiting,1000,2,0.9,3
Dark Mode,300,1,1.0,2
2. Customer Interview Analyzer (product-manager-toolkit/scripts/customer_interview_analyzer.py)
Purpose: NLP-based interview transcript analysis
Features:
- Pain point extraction with severity scoring
- Feature request identification
- Sentiment analysis
- Theme extraction
- Jobs-to-be-done pattern recognition
Usage:
# Analyze transcript
python product-manager-toolkit/scripts/customer_interview_analyzer.py interview.txt
# JSON output
python product-manager-toolkit/scripts/customer_interview_analyzer.py interview.txt json
3. User Story Generator (agile-product-owner/scripts/user_story_generator.py)
Purpose: INVEST-compliant user story generation
Features:
- Sprint planning with capacity allocation
- Epic breakdown into deliverable stories
- Acceptance criteria generation
- Story point estimation
- Priority scoring
Usage:
# Interactive mode
python agile-product-owner/scripts/user_story_generator.py
# Sprint planning (30 story points)
python agile-product-owner/scripts/user_story_generator.py sprint 30
Output Format:
US-001: As a user, I want to...
Priority: High | Points: 5
Acceptance Criteria:
- Given... When... Then...
4. OKR Cascade Generator (product-strategist/scripts/okr_cascade_generator.py)
Purpose: Automated OKR hierarchy (company → product → team)
Features:
- Alignment scoring (vertical and horizontal)
- Strategy templates (growth, retention, revenue, innovation)
- Key result tracking
- Progress visualization
Usage:
# Growth strategy OKRs
python product-strategist/scripts/okr_cascade_generator.py growth
# Retention strategy
python product-strategist/scripts/okr_cascade_generator.py retention
5. Persona Generator (ux-researcher-designer/scripts/persona_generator.py)
Purpose: Data-driven persona creation from user research
Features:
- Demographic and psychographic profiling
- Goals, pain points, and behavior patterns
- User journey mapping integration
- Empathy map generation
Usage:
# Interactive persona creation
python ux-researcher-designer/scripts/persona_generator.py
# JSON export
python ux-researcher-designer/scripts/persona_generator.py --output json
6. Design Token Generator (ui-design-system/scripts/design_token_generator.py)
Purpose: Complete design token system from brand color
Features:
- Color palette generation (primary, secondary, neutrals)
- Typography scale (font sizes, line heights, weights)
- Spacing system (4px/8px grid)
- Shadow and elevation tokens
- Export formats: CSS, JSON, SCSS
Usage:
# Generate design tokens
python ui-design-system/scripts/design_token_generator.py "#0066CC" modern css
# SCSS output
python ui-design-system/scripts/design_token_generator.py "#0066CC" modern scss
# JSON for Figma integration
python ui-design-system/scripts/design_token_generator.py "#0066CC" modern json
Product Workflows
Workflow 1: Feature Prioritization
# 1. Collect feature requests
cat feature-requests.csv
# 2. Run RICE prioritization
python product-manager-toolkit/scripts/rice_prioritizer.py features.csv --capacity 30
# 3. Generate quarterly roadmap
# 4. Create user stories for top priorities
python agile-product-owner/scripts/user_story_generator.py sprint 30
Workflow 2: User Research to Product
# 1. Conduct user interviews
# 2. Analyze transcripts
python product-manager-toolkit/scripts/customer_interview_analyzer.py interview-001.txt
# 3. Generate personas
python ux-researcher-designer/scripts/persona_generator.py
# 4. Create OKRs based on insights
python product-strategist/scripts/okr_cascade_generator.py growth
Workflow 3: Sprint Planning
# 1. Set sprint capacity (story points)
CAPACITY=30
# 2. Generate user stories
python agile-product-owner/scripts/user_story_generator.py sprint $CAPACITY
# 3. Export to Jira (via JSON)
python product-manager-toolkit/scripts/rice_prioritizer.py features.csv --output json > priorities.json
Integration Patterns
Jira Integration
All tools support JSON output for Jira import:
# Export prioritized features
python product-manager-toolkit/scripts/rice_prioritizer.py features.csv --output json > jira-import.json
Figma Integration
Design tokens export for Figma plugins:
# Generate tokens
python ui-design-system/scripts/design_token_generator.py "#0066CC" modern json > design-tokens.json
Confluence Documentation
Use persona generator output for user documentation:
python ux-researcher-designer/scripts/persona_generator.py --output json > personas.json
Quality Standards
All product Python tools must:
- CLI-first design for automation
- Support both interactive and batch modes
- JSON output for tool integration
- Standard library only (minimal dependencies)
- Actionable recommendations
Roadmap
Current (Phase 1): 5 skills deployed with 6 tools
Phase 2 (Q1 2026): Product analytics
- A/B test analyzer
- Funnel conversion tracker
- Cohort retention analyzer
Phase 3 (Q2 2026): Advanced PM tools
- Competitive analysis framework
- Product-market fit assessment
- Revenue impact calculator
See product_team_implementation_guide.md for detailed plans.
Additional Resources
- Implementation Guide:
product_team_implementation_guide.md - Real-World Scenario:
REAL_WORLD_SCENARIO.md(if exists) - Main Documentation:
../CLAUDE.md
Last Updated: November 5, 2025 Skills Deployed: 5/5 product skills production-ready Total Tools: 6 Python automation tools