pm-claude-skills/pm-skills-examples-part2.md

PM Claude Skills - Part 2 (Skills 5-7 + GitHub README)

Skill 5: Competitive Analysis

File: competitive-analysis/SKILL.md

---
name: competitive-analysis
description: Analyze competitors and create competitive landscape documentation. Use when the user asks to analyze competitors, create competitive analysis, compare features with competitors, track competitive landscape, or understand competitive positioning.
---

# Competitive Analysis Skill

This skill creates structured competitive analyses for product decision-making.

## Analysis Framework

### 1. Executive Summary
- **Market Position**: Where we stand relative to competitors
- **Key Findings**: Top 3-5 insights from analysis
- **Strategic Implications**: What this means for our roadmap

### 2. Competitor Profiles

For each major competitor:

**[Competitor Name]**
- **Company Overview**: Size, funding, market position
- **Target Customer**: Who they serve
- **Value Proposition**: Their core positioning
- **Business Model**: How they make money
- **Strengths**: What they do well
- **Weaknesses**: Where they fall short
- **Recent Activity**: Major updates, funding, announcements

### 3. Feature Comparison Matrix

| Feature | Us | Competitor A | Competitor B | Competitor C |
|---------|-----|--------------|--------------|--------------|
| Core Feature 1 | ✅ Full | ✅ Full | ⚠️ Limited | ❌ None |
| Core Feature 2 | ✅ Full | ⚠️ Limited | ✅ Full | ✅ Full |
| Advanced Feature 1 | ⚠️ Beta | ❌ None | ✅ Full | ❌ None |

Legend:
- ✅ Full: Complete, production-ready feature
- ⚠️ Limited/Beta: Partial or in-development
- ❌ None: Feature not available

Include notes on quality/implementation differences where significant.

### 4. Pricing Comparison

| Plan Type | Us | Competitor A | Competitor B | Competitor C |
|-----------|-----|--------------|--------------|--------------|
| Free/Trial | $0 | $0 | $0 | N/A |
| Starter | $29/mo | $25/mo | $39/mo | $49/mo |
| Professional | $79/mo | $89/mo | $79/mo | $99/mo |
| Enterprise | Custom | Custom | $299/mo | Custom |

**Pricing Strategy Notes**:
- How our pricing compares
- Value perception
- Packaging differences

### 5. Strengths & Weaknesses Analysis

**Our Competitive Advantages:**
1. [Strength] - [Why it matters]
2. [Strength] - [Why it matters]
3. [Strength] - [Why it matters]

**Our Gaps vs. Competition:**
1. [Gap] - [Impact on customers]
2. [Gap] - [Impact on customers]
3. [Gap] - [Impact on customers]

### 6. Customer Perception Analysis

**What Customers Say About Competitors** (from reviews, G2, social media):

**Competitor A:**
- Most Praised: [Common positive feedback]
- Most Criticized: [Common complaints]
- Typical User: [Who uses them]

**Competitor B:**
- Most Praised: [Common positive feedback]
- Most Criticized: [Common complaints]
- Typical User: [Who uses them]

### 7. Market Positioning Map

Describe or diagram positioning on key dimensions:
- Y-Axis: [e.g., Enterprise vs. SMB]
- X-Axis: [e.g., Simple vs. Comprehensive]

**Our Position**: [Where we sit and why]
**Whitespace Opportunities**: [Underserved segments]

### 8. Win/Loss Analysis

**Why We Win Against Competitors:**
- Better at: [Specific capabilities]
- Target customers that value: [What matters]

**Why We Lose to Competitors:**
- When customers need: [Specific requirements]
- When they prioritize: [What they value]

### 9. Strategic Implications & Recommendations

**Immediate Actions** (0-3 months):
1. [Action] - [Rationale]
2. [Action] - [Rationale]

**Medium-term Strategy** (3-12 months):
1. [Action] - [Rationale]
2. [Action] - [Rationale]

**Long-term Positioning** (12+ months):
1. [Strategic direction] - [Rationale]

## Analysis Best Practices

**Data Sources:**
- Competitor websites and documentation
- G2, Capterra, TrustRadius reviews
- Customer interviews (especially win/loss)
- Sales team feedback
- Social media and community discussions
- Industry analysts and reports
- Competitor job postings (reveal strategy)

**Quality Standards:**
✅ Use recent data (within 3-6 months)
✅ Include sources for claims
✅ Focus on verifiable facts over assumptions
✅ Consider different customer segments
✅ Update regularly (at least quarterly)

❌ Don't rely solely on competitor marketing
❌ Don't ignore smaller/emerging competitors
❌ Don't assume features work well just because they exist
❌ Don't forget about indirect/substitute competitors

**Ethical Guidelines:**
- Use only publicly available information
- Don't misrepresent competitor capabilities
- Be honest about their strengths
- Don't disparage competitors personally

## Monitoring Cadence

**Weekly**: Check for major announcements, funding, leadership changes
**Monthly**: Review feature releases, pricing changes, marketing campaigns
**Quarterly**: Comprehensive feature comparison, strategic assessment
**Annually**: Market position analysis, long-term trend evaluation

## Example Analysis Section

Competitor Profile: DataSync Pro

Company Overview

• Founded 2019, 85 employees, $12M Series A (2023)
• Fast-growing in mid-market segment
• Strong presence in Europe

Target Customer

• Mid-market companies (100-1000 employees)
• Technical users comfortable with APIs
• Data-intensive operations

Value Proposition "The fastest way to sync data across your entire stack"

• Focus on speed and reliability
• Developer-first approach

Business Model

• Freemium with generous free tier
• Usage-based pricing above free limits
• Professional services for enterprise

Strengths

• Superior sync speed (2-3x faster than alternatives)
• Best-in-class developer documentation
• Strong developer community (5k+ GitHub stars)
• Excellent uptime (99.97% vs industry 99.5%)
• Modern, intuitive API design

Weaknesses

• Limited no-code options (requires technical knowledge)
• Smaller integration library (45 vs our 120)
• No dedicated enterprise features
• Limited customization options
• Support can be slow (avg 8hr response time)

Recent Activity

• Jan 2026: Released real-time sync capabilities
• Dec 2025: Raised $12M Series A
• Nov 2025: Added webhooks and event streaming
• Hired ex-Stripe engineering lead as CTO

Strategic Implications

• Their focus on speed creates pressure on our performance
• Developer-first approach winning technical buyers
• Gaps in no-code and enterprise create opportunities
• Need to monitor their enterprise moves closely

---

Skill 6: Data Analysis Standard

File: data-analysis-standard/SKILL.md

---
name: data-analysis-standard
description: Analyze data and metrics following PM analysis frameworks. Use when the user provides data, metrics, analytics, experiment results, A/B test results, or asks for data analysis, metric interpretation, or statistical analysis.
---

# Data Analysis Standard Skill

This skill provides a structured approach to analyzing product metrics and experimental data.

## Analysis Framework

### 1. Context Setting
- **Question**: What are we trying to understand?
- **Hypothesis**: What we expected to find
- **Data Source**: Where the data comes from
- **Time Period**: Date range analyzed
- **Sample Size**: Number of observations

### 2. Data Summary
- **Key Metrics**: Primary measurements
- **Segments Analyzed**: How data was broken down
- **Data Quality Notes**: Any issues or limitations

### 3. Findings

**Primary Finding**
- **Observation**: What the data shows
- **Magnitude**: Size of effect (with units)
- **Significance**: Statistical significance if applicable
- **Confidence**: How certain we are

**Secondary Findings**
- List additional insights
- Note unexpected patterns
- Highlight anomalies

### 4. Segment Analysis

Break down by relevant dimensions:
- User type/persona
- Time period (trends)
- Geographic region
- Platform/device
- User cohort

### 5. Statistical Rigor

**For A/B Tests:**
- Sample size per variant
- Test duration
- Statistical significance (p-value)
- Confidence interval
- Statistical power
- Minimum detectable effect

**Statistical Significance Thresholds:**
- p < 0.05: Statistically significant
- p < 0.01: Highly significant
- p >= 0.05: Not significant (don't ship)

**Minimum Sample Size:**
- At least 1000 users per variant
- At least 100 conversions per variant
- Run for minimum 1 full week (capture weekly patterns)

### 6. Interpretation & Implications

**What This Means:**
- Business impact translation
- Product implications
- Strategic relevance

**What This Doesn't Mean:**
- Common misinterpretations to avoid
- Correlation vs. causation notes
- Scope limitations

### 7. Recommendations

**Recommended Action:**
- Clear next step
- Supporting rationale
- Risk assessment

**Alternative Considerations:**
- Other options
- Trade-offs
- Further validation needed

### 8. Follow-Up Questions

What we still need to learn:
- Additional analysis needed
- New experiments to run
- Data gaps to fill

## Analysis Best Practices

**Statistical Guidelines:**

1. **Always check for statistical significance**
   - Don't call results based on direction alone
   - Report both p-value and confidence intervals
   - Account for multiple comparisons

2. **Consider practical significance**
   - A 0.1% improvement might be statistically significant but not meaningful
   - Consider business impact, not just p-values
   - Factor in implementation cost

3. **Watch for common pitfalls:**
   - Selection bias in sample
   - Simpson's paradox in segments
   - Regression to the mean
   - Novelty effects in experiments
   - Seasonal patterns

4. **Validate data quality:**
   - Check for tracking issues
   - Verify sample sizes are adequate
   - Look for data anomalies
   - Confirm proper randomization

**Communication Guidelines:**

✅ **Do:**
- Lead with the answer
- Quantify everything possible
- Show your work (methodology)
- Acknowledge limitations
- Provide context for numbers

❌ **Don't:**
- Hide negative results
- Cherry-pick favorable data
- Overstate confidence
- Use jargon without explanation
- Confuse correlation with causation

## Metrics Definitions

**Engagement Metrics:**
- **DAU**: Daily Active Users (users who performed key action today)
- **WAU**: Weekly Active Users (users who performed key action in last 7 days)
- **MAU**: Monthly Active Users (users who performed key action in last 30 days)
- **Stickiness**: DAU/MAU ratio (higher = more frequent usage)

**Retention Metrics:**
- **D1 Retention**: % of users who return 1 day after signup
- **D7 Retention**: % of users who return 7 days after signup
- **D30 Retention**: % of users who return 30 days after signup

**Conversion Metrics:**
- **Conversion Rate**: % of users who complete desired action
- **Funnel Drop-off**: % lost at each step
- **Time to Convert**: How long users take to convert

**Good Benchmark Ranges** (vary by industry):
- D1 Retention: 40-60%
- D7 Retention: 20-40%
- D30 Retention: 10-25%
- Conversion Rate: 2-5% (freemium SaaS)

## Example Analysis

A/B Test Analysis: Onboarding Flow Redesign

Context

Question: Does the new onboarding flow improve activation rates? Hypothesis: New flow will increase activation by 20% by reducing friction Data Source: Mixpanel event tracking Time Period: Jan 1-14, 2026 (14 days) Sample Size: 5,240 users (2,620 per variant)

Data Summary

Key Metric: Activation rate (completed setup + first key action) Segments: New users, mobile vs desktop, organic vs paid

Data Quality:

• No tracking issues detected
• Balanced randomization (50.1% / 49.9%)
• Sample sizes exceed minimum thresholds

Findings

Primary Finding Observation: New onboarding flow increased activation rate from 45.2% to 52.8% Magnitude: +7.6 percentage points (+16.8% relative improvement) Significance: p = 0.003 (highly significant) Confidence: 95% CI: [+4.2pp, +11.0pp]

✅ Recommendation: Ship new onboarding flow

Secondary Findings:

• Mobile users showed larger improvement (+22%) than desktop (+12%)
• Effect consistent across organic and paid users
• Time to activation reduced from 8.2min to 5.7min (-30%)
• Support tickets about setup decreased by 35%

Segment Analysis

Segment	Control	Treatment	Lift	Significance
Overall	45.2%	52.8%	+16.8%	p = 0.003 **
Mobile	41.0%	50.0%	+22.0%	p = 0.008 **
Desktop	49.4%	55.2%	+11.7%	p = 0.042 *
Organic	46.8%	53.5%	+14.3%	p = 0.019 *
Paid	43.1%	51.8%	+20.2%	p = 0.012 *

• p < 0.05, ** p < 0.01

Key Insight: Improvement is consistent across all segments, suggesting robust effect.

Statistical Rigor

• ✅ Sample size: 2,620 per variant (exceeds 1,000 minimum)
• ✅ Conversions: 1,184 and 1,383 (exceeds 100 minimum)
• ✅ Duration: 14 days (captures two full weeks)
• ✅ Statistical power: 92% (exceeds 80% target)
• ✅ Minimum detectable effect: 5pp (we detected 7.6pp)

Interpretation & Implications

What This Means:

• New onboarding reliably improves activation
• For every 100 new users, we'll activate ~8 more
• At current signup rate (500/day), that's ~40 additional activated users per day
• Projected impact: +1,200 activated users per month

What This Doesn't Mean:

• We don't know long-term retention impact yet (need 30-day follow-up)
• This doesn't tell us which specific changes drove the improvement
• Results may diminish slightly post-novelty period (monitor for 30 days)

Recommendations

Recommended Action: Ship new onboarding flow to 100% of users

• Strong, statistically significant improvement
• Consistent across segments
• No negative signals
• Technical implementation is stable

Rollout Plan:

• Week 1: Deploy to 100% (already tested at scale)
• Week 2-5: Monitor retention metrics closely
• Month 2: Measure long-term impact on retention and LTV

Monitor These Metrics:

• D7 and D30 retention (ensure activation translates to retention)
• Support ticket volume (should remain low)
• NPS scores (ensure quality of experience)

Follow-Up Questions

Additional Analysis Needed:

• Which specific onboarding changes had biggest impact? (follow-up multivariate test)
• Does improved activation lead to better long-term retention? (cohort analysis in 30 days)
• Can we further optimize mobile experience given larger effect? (mobile-specific test)

Next Experiments:

• Test additional friction reduction in mobile flow
• Experiment with personalized onboarding paths
• A/B test welcome email timing and content

---

Skill 7: Roadmap Presentation

File: roadmap-presentation/SKILL.md

---
name: roadmap-presentation
description: Create product roadmap presentations for stakeholders. Use when the user asks to create a roadmap, roadmap presentation, product roadmap, quarterly plan, strategic roadmap, or needs to visualize product plans and timelines.
---

# Roadmap Presentation Skill

This skill creates effective product roadmap presentations that communicate strategy and build stakeholder alignment.

## Presentation Structure

### Slide 1: Title & Context
**Product Roadmap - [Time Period]**
- Product/Team name
- Time period covered
- Last updated date
- Your name and role

### Slide 2: Executive Summary
**TL;DR for busy executives:**
- **Strategic Focus**: One sentence on the theme/priority
- **Key Initiatives**: 3-5 major efforts
- **Expected Outcomes**: Top metrics we'll move
- **Resource Requirements**: Team size, budget, dependencies

### Slide 3: Strategic Context
**Why This Roadmap?**
- **Company Objectives**: How this aligns with company goals
- **Market Context**: Relevant competitive or market dynamics
- **Customer Needs**: Top problems we're solving
- **Success Metrics**: How we'll measure progress

### Slide 4: Roadmap Principles
**How We Prioritize:**
- [Principle 1]: e.g., "Customer retention over acquisition"
- [Principle 2]: e.g., "Technical foundation before features"
- [Principle 3]: e.g., "Enterprise needs vs. broad market"

These help stakeholders understand trade-offs.

### Slides 5-7: Timeline View

**Now (Month 1-2)** - What's actively being built
- Initiative 1: [Name]
  - Problem solved
  - Expected impact
  - Team/effort
  
- Initiative 2: [Name]
  - Problem solved
  - Expected impact
  - Team/effort

**Next (Month 3-4)** - What's coming soon
- Initiative 3: [Name]
  - Problem solved
  - Expected impact
  - Team/effort

**Later (Month 5-6)** - What's on the horizon
- Initiative 4: [Name]
  - Problem solved
  - Expected impact
  - Team/effort

### Slide 8: Feature Details (if needed)
Deep dive on 1-2 key initiatives:
- **Problem**: What customer pain we're solving
- **Solution**: What we're building
- **Impact**: Expected business outcomes
- **Effort**: Team and timeline
- **Dependencies**: What needs to happen first

### Slide 9: What We're NOT Doing
**Important to set expectations:**
- Feature X: [Why not now]
- Feature Y: [Why not now]
- Feature Z: [Why not now]

Shows you've considered requests and made deliberate choices.

### Slide 10: Risks & Dependencies
**What Could Go Wrong:**
- **Risk 1**: [Description] - [Mitigation]
- **Risk 2**: [Description] - [Mitigation]

**External Dependencies:**
- Dependency on team X for Y
- Waiting on decision Z
- Partnership with vendor W

### Slide 11: Success Metrics
**How We'll Know We Succeeded:**

| Metric | Current | Q-End Target | Long-term Goal |
|--------|---------|--------------|----------------|
| [Key Metric 1] | [Value] | [Target] | [Goal] |
| [Key Metric 2] | [Value] | [Target] | [Goal] |
| [Key Metric 3] | [Value] | [Target] | [Goal] |

### Slide 12: Team & Resources
**What We Need to Deliver:**
- Engineering: [X engineers + roles]
- Design: [X designers + focus areas]
- PM: [X PMs + responsibilities]
- Other: [Data, QA, DevOps needs]

**Open Positions** (if applicable)
**Budget Requirements** (if applicable)

### Slide 13: Q&A
Leave blank for discussion

## Visual Design Guidelines

**Layout:**
- Use consistent colors for different initiative types
- Now/Next/Later should have clear visual distinction
- Use icons for different feature categories
- Keep text minimal - speak to slides, don't read them

**Color Coding Examples:**
- 🟦 Foundation/Platform work
- 🟩 Customer-facing features
- 🟨 Technical debt/quality
- 🟥 Security/compliance
- 🟪 Experimental/R&D

**Timeline Visualization:**
Use Gantt-style bars or swim lanes:

Jan Feb Mar Apr May Jun [====== Initiative 1 ======] [===== Initiative 2 =====] [===== Initiative 3 =====]

## Roadmap Communication Principles

**1. Outcomes Over Features**
- ❌ "Build multi-channel dashboard"
- ✅ "Enable support teams to respond 3x faster to customer inquiries"

**2. Show Trade-offs**
- Explain what you're not doing and why
- Make prioritization framework explicit
- Acknowledge competing requests

**3. Manage Expectations**
- Use "Now/Next/Later" not specific dates (dates create false precision)
- Show confidence levels (High/Medium/Low)
- Be honest about risks

**4. Tell a Story**
- Connect initiatives to strategy
- Show how pieces build on each other
- Explain the arc from now to vision

**5. Make it Actionable**
- Clear on what you need from stakeholders
- Specific decision points
- Defined success criteria

## Roadmap Formats

### Theme-Based Roadmap
Organize by strategic themes rather than time:
- **Theme 1: Improve Onboarding**
  - Initiative A
  - Initiative B
- **Theme 2: Scale for Enterprise**
  - Initiative C
  - Initiative D

Good for: Communicating strategy, longer time horizons

### Timeline Roadmap
Organize by time periods:
- Q1 2026
- Q2 2026
- H2 2026

Good for: Execution planning, near-term clarity

### Now/Next/Later Roadmap (Recommended)
Three buckets without specific dates:
- **Now**: In progress (0-2 months)
- **Next**: Up next (2-4 months)
- **Later**: On the horizon (4-12 months)

Good for: Managing expectations, reducing date commitments

### Outcome-Based Roadmap
Organize by business outcomes:
- **Increase Retention**: Initiatives that reduce churn
- **Drive Expansion**: Initiatives that increase ARPU
- **Improve Efficiency**: Initiatives that reduce costs

Good for: Executive audiences, strategic alignment

## Stakeholder-Specific Adaptations

### For Executives
- Focus on outcomes and metrics
- Show strategic alignment
- Be brief and high-level
- Emphasize business impact

### For Engineering
- Include technical details
- Show architecture implications
- Discuss technical debt trade-offs
- Be specific about scope

### For Sales/CS
- Focus on customer benefits
- Include competitive positioning
- Show launch timeline
- Provide messaging guidance

### For Customers/Partners
- External-safe language
- Focus on value, not internals
- Broad time ranges
- Beautiful design (represents brand)

## Example Slide Content

Product Roadmap - Q1 2026

Customer Success Platform Last Updated: January 15, 2026 Sarah Chen, Senior Product Manager

---

Executive Summary

Strategic Focus: Accelerate customer onboarding and reduce time-to-value

Key Initiatives:

1. Redesigned onboarding flow (expected +20% activation)
2. In-app guidance system (expected -40% support tickets)
3. Mobile app improvements (expected +15% engagement)

Expected Outcomes:

• Activation rate: 45% → 60%
• Time to first value: 12 days → 5 days
• Day 30 retention: 68% → 75%

Resource Requirements: 4 engineers, 1 designer, full quarter

---

Strategic Context

Company Objectives:

• Improve net revenue retention from 95% to 105%
• Reduce CAC payback from 18 months to 12 months

Market Context:

• 3 competitors launched improved onboarding in 2025
• Customer expectations for SaaS onboarding have evolved
• 62% of churned customers never completed onboarding

Customer Needs:

• "Too complicated to get started" (top churn reason)
• "Don't know how to use advanced features"
• "Mobile experience is frustrating"

Success Metrics:

• Activation rate (completed setup + first action)
• Time to first value
• Day 30 retention rate

---

Now (January - February)

🟩 Onboarding Redesign - "Fast Start"

Problem: 55% of new users don't complete onboarding, leading to poor activation and eventual churn.

Solution: Streamlined 3-step onboarding with progressive disclosure of advanced features. Users can start using core functionality in <5 minutes.

Expected Impact:

• Activation rate: 45% → 60% (+33%)
• Support tickets: -40%
• Time to value: 12 days → 5 days

Effort: 6 engineering weeks, 3 design weeks

Timeline: Design complete Jan 15, Development Jan 22-Feb 12, Launch Feb 19

---

Next (March - April)

🟩 In-App Guidance System

Problem: Users don't discover advanced features, limiting expansion revenue. 80% of users never use more than 3 features.

Solution: Contextual tooltips, feature tours, and achievement system that guides users to discover relevant capabilities based on their use case.

Expected Impact:

• Feature adoption: +45%
• Expansion revenue: +15%
• NPS: 42 → 50

Effort: 8 engineering weeks, 2 design weeks

Dependencies: Requires onboarding redesign to complete first

---

Later (May - June)

🟩 Mobile App V2

Problem: Mobile experience is subpar, driving users back to desktop and reducing engagement.

Solution: Rebuilt mobile app with improved performance, offline support, and streamlined workflows for key mobile use cases.

Expected Impact:

• Mobile DAU: +60%
• Overall DAU: +15%
• Mobile NPS: 32 → 45

Effort: 10 engineering weeks, 4 design weeks

---

What We're NOT Doing (This Quarter)

Multi-Channel Dashboard

• Why not now: Onboarding and retention are higher priorities; only requested by 8% of customers
• When: Q2 2026 after retention improvements ship

Advanced Reporting

• Why not now: Need to improve core experience first; only valuable for activated users
• When: H2 2026 once activation targets are met

Desktop App

• Why not now: Focus on web and mobile; small portion of customers (12%) requesting this
• When: 2027 consideration based on demand

---

Risks & Mitigation

Risk: Onboarding redesign doesn't improve activation

• Mitigation: Extensive user testing (completed), beta launch to 20% before full rollout, kill switch ready

Risk: Mobile rebuild takes longer than estimated

• Mitigation: Using modern framework we have experience with, dedicated team, parallel track to avoid dependencies

Risk: Engineering velocity impacted by production issues

• Mitigation: Allocated 20% time for tech debt and stability, on-call rotation protects focus time

---

Success Metrics - Q1 Targets

Metric	Current (Jan)	Q1 Target	Long-term Goal
Activation Rate	45%	60%	70%
Time to First Value	12 days	5 days	1 day
Day 30 Retention	68%	75%	85%
Setup Support Tickets	180/week	100/week	50/week
Feature Adoption	2.8/user	4.0/user	6.0/user

Measurement: Weekly tracking, monthly reviews with stakeholders

---

Team & Resources

Current Team:

• 4 Engineers (2 frontend, 1 backend, 1 full-stack)
• 1 Product Designer
• 1 Product Manager
• QA support from shared team

What We Need:

• ✅ Current team sufficient for Q1 roadmap
• ⚠️ Mobile rebuild may require additional frontend eng in Q2
• ⚠️ Design support will be tight with 3 parallel initiatives

No budget increases required this quarter

---

Sample GitHub README.md

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- [Installation Guide](docs/installation.md) - Step-by-step setup
- [Customization Guide](docs/customization.md) - Adapt Skills to your workflow
- [Skill Creation Tutorial](docs/skill-creation-tutorial.md) - Build your own Skills
- [Troubleshooting](docs/troubleshooting.md) - Common issues and fixes

## 🤝 Contributing

Found a bug? Want to suggest an improvement? Contributions are welcome!

- [Report an Issue](github-issues-link)
- [Submit a Pull Request](github-pr-link)
- [Join Discussions](github-discussions-link)

See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.

## ⭐ Show Your Support

If these Skills save you time, please:
1. ⭐ Star this repository
2. 📢 Share with fellow PMs
3. 🐛 Report bugs or suggest improvements
4. ✍️ Write about your experience

## 📈 Roadmap

**Coming Soon:**
- Domain-specific Skills (SaaS PM, B2B PM, Growth PM)
- Video tutorials for each Skill
- Notion/Confluence template packs
- Team collaboration Skills

**Long-term:**
- Interactive Skill builder tool
- Integration with PM tools (Jira, Productboard, etc.)
- Community-contributed Skills library

## 📄 License

This project is licensed under the MIT License - see [LICENSE](LICENSE) for details.

You're free to use, modify, and distribute these Skills. Attribution appreciated but not required.

## 🙋 FAQ

**Q: Do I need a paid Claude account?**  
A: Yes, Skills require Claude Pro, Max, Team, or Enterprise.

**Q: Can I customize these Skills for my team?**  
A: Absolutely! See our [Customization Guide](docs/customization.md).

**Q: Do Skills work with the Claude API?**  
A: Yes! Skills work in claude.ai, Claude Code, and via the API.

**Q: What if I need help with a specific use case?**  
A: Open a [Discussion](github-discussions-link) or check out my [consulting services](link).

**Q: Are you building Skills for other roles?**  
A: Currently focused on PM Skills, but open to expanding. Let me know what you'd like to see!

## 💼 Professional Services

Need custom Skills for your team? I offer:
- Custom Skill development ($500-2000 per Skill)
- Team workshops and training ($2000-5000)
- PM process consulting
- [Contact me](mailto:your-email) to discuss your needs

## 🔗 Links

- 📝 [Original Medium Article](link-to-article)
- 🐦 [Follow me on Twitter](twitter-link)
- 💼 [Connect on LinkedIn](linkedin-link)
- ✉️ [Email me](mailto:your-email)

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**Made with ☕ by [Mohit Aggarwal](your-website)**

*Helping product managers work smarter with AI*

⭐ Star this repo to get updates as new Skills are added!