product-manager-toolkit
Skill4 starsChanged 28 days agoMITView on GitHub
Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization, user research synthesis, requirement documentation, and product strategy development.
23 other projects use a version of this, 12 of them edited.
Adopted by
Most recently taken up by
- darkweb19/skillsedited, first seen Nov 8, 2026
- amanuelmamo7/Skillsedited, first seen Nov 7, 2026
- JuankCadavid/akili-specsedited, first seen Nov 2, 2026
- OpenxIntelligence/Coding-Agent-Skillsword for word, first seen Nov 1, 2026
- viasrijan/crazy-skillstheir own version, first seen Oct 20, 2026
- karim-bhalwani/agent-skills-collectiontheir own version, first seen Oct 20, 2026
Used with
Projects with it also use data-storytelling.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
xfstudioSkilldata-storytelling
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
Also in 3 projects that use this
Other versions23 projects use a version of this.
Word for word · 7
- xfstudio/skills★ 9100% same
- nek1987/auto-agent-harness★ 4100% same
- OpenxIntelligence/Coding-Agent-Skills★ 4100% same
- ai4brands-design/claude-skills★ 2100% same
- goodnessibeh/ai-dev-boilerplate★ 1100% same
- harriswat/claude-skills★ 0100% same
- Tgoldi/claude-skills★ 0100% same
Edited · 12
- anbeime/skill★ 7.9k72% same
- Hassaan146/claude-skills★ 1820% same
- JuankCadavid/akili-specs★ 1076% same
- dycnnnb/skills★ 273% same
- Hussain-Elfalah/Agentic-Skills★ 221% same
- Oceanjackson1/Claude-Skill★ 297% same
- amanuelmamo7/Skills★ 192% same
- mahiunfiltered/claude-code-skills★ 120% same
- ZeroTokenClaw/agents-skills★ 172% same
- andfrancot-alt/claude-skills★ 020% same
2 more not listed
Wrote their own version · 4
- skytiger6724/qwen-skills★ 2same name
- Gopyr/gopyr-skills-hub★ 0same name
- karim-bhalwani/agent-skills-collection★ 0same name
- viasrijan/crazy-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository169 other files it gives its agents.
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
6 rules. 3 are common, 3 are distinctive, and 0 are very specific to this project.
3
Common
Most of the 15 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 286
Start with the problem, not solution
- Common: line 289
Use visuals (wireframes, flows)
- Common: line 290
Keep technical details in appendix
- Distinctive: line 306
Look for emotional reactions
- Distinctive: line 322
Ignoring Technical Debt: Not allocating time for platform health
- Distinctive: line 323
Stakeholder Surprise: Not communicating early and often
“Common” is measured: kept by at least 6 in 10 of the 15 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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
- 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
# 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)
- 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
Extracts:python scripts/customer_interview_analyzer.py transcript.txt- 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:
# 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:
- 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-monthsValue 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 permissionHypothesis 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
├── Solution C
└── Solution DMetrics & Analytics
North Star Metric Framework
- Identify Core Value: What's the #1 value to users?
- Make it Measurable: Quantifiable and trackable
- Ensure It's Actionable: Teams can influence it
- Check Leading Indicator: Predicts business success
Funnel Analysis Template
Acquisition → Activation → Retention → Revenue → Referral
Key Metrics:
- Conversion rate at each step
- Drop-off points
- Time between steps
- Cohort variationsFeature Success Metrics
- Adoption: % of users using feature
- Frequency: Usage per user per time period
- Depth: % of feature capability used
- Retention: Continued usage over time
- Satisfaction: NPS/CSAT for feature
Best Practices
Writing Great PRDs
- Start with the problem, not solution
- Include clear success metrics upfront
- Explicitly state what's out of scope
- Use visuals (wireframes, flows)
- Keep technical details in appendix
- Version control changes
Effective Prioritization
- Mix quick wins with strategic bets
- Consider opportunity cost
- Account for dependencies
- Buffer for unexpected work (20%)
- Revisit quarterly
- Communicate decisions clearly
Customer Discovery Tips
- Ask "why" 5 times
- Focus on past behavior, not future intentions
- Avoid leading questions
- Interview in their environment
- Look for emotional reactions
- Validate with data
Stakeholder Management
- Identify RACI for decisions
- Regular async updates
- Demo over documentation
- Address concerns early
- Celebrate wins publicly
- Learn from failures openly
Common Pitfalls to Avoid
- Solution-First Thinking: Jumping to features before understanding problems
- Analysis Paralysis: Over-researching without shipping
- Feature Factory: Shipping features without measuring impact
- Ignoring Technical Debt: Not allocating time for platform health
- Stakeholder Surprise: Not communicating early and often
- Metric Theater: Optimizing vanity metrics over real value
Integration Points
This toolkit integrates with:
- Analytics: Amplitude, Mixpanel, Google Analytics
- Roadmapping: ProductBoard, Aha!, Roadmunk
- Design: Figma, Sketch, Miro
- Development: Jira, Linear, GitHub
- Research: Dovetail, UserVoice, Pendo
- Communication: Slack, Notion, Confluence
Quick Commands Cheat Sheet
# Prioritization
python scripts/rice_prioritizer.py features.csv --capacity 15
# Interview Analysis
python scripts/customer_interview_analyzer.py interview.txt
# Create sample data
python scripts/rice_prioritizer.py sample
# JSON outputs for integration
python scripts/rice_prioritizer.py features.csv --output json
python scripts/customer_interview_analyzer.py interview.txt jsonDoes it work?
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