home / skills / rshankras / claude-code-apple-skills / competitive-analysis
This skill delivers deep competitive analysis for iOS/macOS apps, revealing feature gaps, pricing strategies, and differentiation opportunities to sharpen
npx playbooks add skill rshankras/claude-code-apple-skills --skill competitive-analysisReview the files below or copy the command above to add this skill to your agents.
---
name: competitive-analysis
description: Deep competitive analysis for iOS/macOS apps including feature comparison, pricing analysis, strengths/weaknesses, market positioning, and differentiation opportunities. Use when user asks for competitive analysis, competitor research, feature comparison, market positioning, or wants to understand competition in detail.
allowed-tools: Bash(product-agent:*), Read, WebSearch, WebFetch
---
# Competitive Analysis Skill
Performs deep competitive analysis for iOS/macOS app ideas. Goes beyond basic discovery to provide detailed competitor insights, feature matrices, and differentiation opportunities.
## When to Use This Skill
Use this Skill when the user wants to:
- Understand competitors in detail
- Compare features across competitors
- Analyze competitor pricing strategies
- Identify competitive strengths/weaknesses
- Find differentiation opportunities
- Map market positioning
- Deep-dive after initial problem discovery
**This is a follow-up to product-agent discovery** - use this when you need more competitive depth.
## What This Skill Does
### 1. Competitor Identification
- Identifies direct and indirect competitors
- Categorizes by market position (leaders, challengers, niche)
- Includes App Store rankings and ratings
### 2. Feature Comparison
- Creates feature comparison matrix
- Identifies unique features per competitor
- Highlights feature gaps (opportunities)
### 3. Pricing Analysis
- Compares pricing models (free, paid, subscription, freemium)
- Analyzes price points
- Identifies pricing strategies
### 4. SWOT Analysis
- Strengths of each competitor
- Weaknesses and limitations
- Opportunities for differentiation
- Threats to new entrants
### 5. Market Positioning
- How competitors position themselves
- Target audience differences
- Brand messaging analysis
### 6. Differentiation Strategy
- **Key output:** How to be different
- Feature gaps in market
- Underserved user segments
- Unique value propositions
## How to Use
### Basic Usage
For competitive analysis, construct a detailed prompt and use product-agent's general capabilities combined with web research:
```bash
# The approach: Use product-agent discover for baseline,
# then enhance with web research
product-agent discover \
--idea "IDEA_DESCRIPTION - focus on competitive landscape" \
--output-format json
```
**Then enhance with web research** using WebSearch and WebFetch tools to:
- Visit competitor websites
- Check App Store listings
- Analyze pricing pages
- Review feature documentation
### Workflow
1. **Start with discovery** to identify competitors:
```bash
product-agent discover --idea "YOUR_IDEA" --output-format json
```
Extract the `current_solutions` field for competitor list.
2. **Research each competitor** using WebSearch/WebFetch:
- Search for "[competitor name] app features"
- Search for "[competitor name] pricing"
- Fetch their App Store page
- Fetch their website
3. **Create comparison matrix** from gathered data
4. **Identify differentiation opportunities** based on gaps
## Output Structure
When performing competitive analysis, create this structure:
```json
{
"competitors": [
{
"name": "Competitor Name",
"category": "market_leader | challenger | niche",
"app_store_rating": "4.5/5",
"downloads": "estimated range",
"pricing": {
"model": "subscription | one-time | freemium",
"price": "$X/month or $Y one-time",
"tiers": ["free", "pro", "business"]
},
"key_features": [
"Feature 1",
"Feature 2"
],
"unique_features": [
"Feature only they have"
],
"strengths": [
"What they do well"
],
"weaknesses": [
"What they lack or do poorly"
],
"target_audience": "Who they target",
"positioning": "How they position themselves"
}
],
"feature_matrix": {
"Feature A": {"Competitor1": true, "Competitor2": false, "Competitor3": true},
"Feature B": {"Competitor1": false, "Competitor2": true, "Competitor3": true}
},
"feature_gaps": [
"Feature nobody offers well",
"Feature with poor implementation across board"
],
"pricing_insights": {
"average_price": "$X",
"pricing_range": "$Y - $Z",
"common_model": "subscription",
"pricing_gaps": ["No good free tier", "No lifetime option"]
},
"differentiation_opportunities": [
{
"opportunity": "AI-powered feature X",
"reasoning": "None of the competitors do this well",
"potential_impact": "high | medium | low"
}
],
"market_positioning_map": {
"axes": ["Price (low to high)", "Features (simple to complex)"],
"competitors": [
{"name": "Competitor1", "position": [3, 8]},
{"name": "Competitor2", "position": [8, 9]}
],
"opportunity_quadrant": "Low price, high features"
},
"recommendation": "Strategic positioning recommendation"
}
```
## Best Practices
### 1. Start Broad, Then Focus
```
Step 1: Use product-agent discover to identify competitors
Step 2: Pick top 3-5 most relevant competitors
Step 3: Deep dive on each using web research
Step 4: Create comparison matrix
```
### 2. Look Beyond Direct Competitors
Include:
- **Direct competitors:** Same problem, same solution
- **Indirect competitors:** Same problem, different solution
- **Alternative solutions:** How users solve this today without apps
### 3. Focus on Actionable Insights
Don't just list features. Answer:
- **What can we do better?**
- **What gaps exist?**
- **Where can we differentiate?**
### 4. Verify with App Store Data
When analyzing iOS/macOS apps:
- Check App Store ratings
- Read recent reviews (last 3 months)
- Note update frequency
- Check developer responsiveness
### 5. Pricing Intelligence
Understand:
- How competitors monetize
- What features are behind paywall
- Trial periods and refund policies
- Upgrade paths
## Example Analysis Flow
**User asks:** "Do competitive analysis for task management apps"
**You do:**
1. **Initial Discovery**
```bash
product-agent discover \
--idea "Task management app with AI prioritization" \
--output-format json
```
Result: Identifies Todoist, Things, OmniFocus, TickTick as main competitors
2. **Deep Research Each Competitor**
For Todoist:
- WebSearch: "Todoist features list 2026"
- WebFetch: https://todoist.com/features
- WebSearch: "Todoist pricing 2026"
- WebFetch: https://todoist.com/pricing
- WebSearch: "Todoist app store reviews"
Repeat for Things, OmniFocus, TickTick
3. **Create Feature Matrix**
| Feature | Todoist | Things | OmniFocus | TickTick |
|---------|---------|--------|-----------|----------|
| Subtasks | ✓ | ✓ | ✓ | ✓ |
| AI Prioritization | ✗ | ✗ | ✗ | ✗ |
| Calendar Integration | ✓ | ✓ | ✓ | ✓ |
| Natural Language Input | ✓ | ✗ | ✗ | ✓ |
4. **Identify Gaps**
- AI prioritization: Nobody does it well
- Smart scheduling: Limited implementations
- Context-aware suggestions: Missing entirely
5. **Present Findings**
```
Competitive Analysis: Task Management Apps
**Top 4 Competitors:**
1. Todoist (Market Leader) - $4/mo, strong features, weak AI
2. Things (Premium) - $50 one-time, beautiful UI, limited power features
3. OmniFocus (Power Users) - $100 one-time, complex, steep learning curve
4. TickTick (Budget) - $2/mo, feature-rich, less polished
**Feature Gaps (Opportunities):**
1. AI-powered prioritization - None do this well
2. Context-aware task suggestions - Missing
3. Smart deadline suggestions - Limited
**Differentiation Strategy:**
Position as "AI-first task manager" with:
- Automatic prioritization based on context
- Smart deadline suggestions
- Learning from user behavior
**Pricing Recommendation:**
$3-4/month (between TickTick and Todoist)
Free tier with core features to build user base
```
## Common Pitfalls to Avoid
### ❌ Don't Just List Competitors
```
Bad: "Competitors are Todoist, Things, OmniFocus"
Good: "Todoist leads with 30% market share at $4/mo, strong in
collaboration but weak in AI features..."
```
### ❌ Don't Ignore Indirect Competition
```
Bad: Only analyzing dedicated task apps
Good: Also include: Notion (general productivity), Apple Reminders
(free built-in), pen and paper (no-tech solution)
```
### ❌ Don't Skip Pricing Analysis
```
Bad: "They have a subscription"
Good: "Freemium model with $4/mo premium. 70% on free tier,
30% convert to paid. Premium unlocks collaboration and integrations."
```
### ❌ Don't Forget the "So What?"
```
Bad: "Competitor X has feature Y"
Good: "Competitor X has feature Y, but it's poorly implemented
(3.2/5 rating in reviews). This is an opportunity to do it better."
```
## Integration with Other Skills
This Skill works best **after** using the main product-agent Skill:
```
1. product-agent discover → Quick validation
2. competitive-analysis → Deep competitor insights
3. market-research → Market size and opportunity
4. MVP scoping → What to build based on competitive gaps
```
## Tips for Effective Analysis
1. **Recent Data Only**: Focus on 2025-2026 data. Old reviews don't matter.
2. **User Voice**: Read actual user reviews. What do they complain about? What do they love?
3. **Pricing Psychology**: Don't just note prices. Understand the strategy:
- Freemium = land and expand
- One-time = premium positioning
- Subscription = recurring revenue focus
4. **Feature vs. Benefit**: Map features to benefits:
- "Subtasks" = Benefit: "Break big tasks into manageable steps"
5. **Market Position**: Understand where you fit:
- Cheaper? Position as "affordable alternative"
- Better? Position as "premium experience"
- Simpler? Position as "easy to use"
- Different? Position as "unique approach"
## When to Run This Analysis
**Perfect timing:**
- After initial discovery shows "MODERATE" or "STRONG" opportunity
- Before starting development (validate differentiation strategy)
- When planning features (fill competitive gaps)
- Before pricing decisions (market rate analysis)
- When pitching to investors (competitive landscape)
**Too early:**
- Before basic discovery (use product-agent discover first)
- If discovery said "DON'T BUILD" (no point analyzing dead market)
**Too late:**
- After building MVP without checking competition (too late to differentiate)
- After pricing decision (should inform pricing)
## Deliverables
After running competitive analysis, you should have:
1. ✅ List of 3-5 main competitors with details
2. ✅ Feature comparison matrix
3. ✅ Pricing comparison table
4. ✅ SWOT for each competitor
5. ✅ 3-5 differentiation opportunities identified
6. ✅ Positioning recommendation
7. ✅ Pricing strategy recommendation
## Output File Location
Save competitive analysis results to one of these locations:
- `competitive-analysis.md` (project root)
- `docs/competitive-analysis.md` (if docs folder exists)
**Format**: Use the JSON structure in the Output Structure section, wrapped in a markdown code block.
**Integration**: The PRD generator skill will automatically look for this file and integrate the insights into the PRD's Competitive Context section.
## Follow-up Actions
Based on competitive analysis, next steps:
**If gaps found:**
- Proceed with MVP scoping
- Design features that fill gaps
- Position around differentiation
**If no clear gaps:**
- Consider pivoting idea
- Target different user segment
- Explore adjacent market
**If too competitive:**
- Find niche within market
- Bundle with other features
- Or abandon and try different idea
---
**Remember:** Competitive analysis should lead to action. The goal is not to document competitors, but to find your **unique wedge** into the market.
This skill performs deep competitive analysis for iOS and macOS apps, producing actionable insights for product decisions. It identifies direct and indirect competitors, builds feature matrices, evaluates pricing, and surfaces strengths, weaknesses, and clear differentiation opportunities. Use it to turn discovery findings into a focused go-to-market or product strategy.
I start by identifying 3–7 relevant competitors from discovery results and web research (App Store, websites, pricing pages, and recent reviews). I produce a structured output: competitor profiles, a feature comparison matrix, pricing analysis, SWOTs, market positioning maps, and prioritized differentiation opportunities. The output highlights gaps you can exploit and gives concrete recommendations for positioning and pricing.
What inputs do you need to run an analysis?
Provide the app idea, discovery output (if available), and any known competitors or markets to prioritize; I’ll handle web research and App Store data.
How granular is the pricing analysis?
I compare models (free, freemium, subscription, one-time), list tiers and features behind paywalls, estimate typical price ranges, and flag pricing gaps like lack of trial or lifetime options.