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competitive-analysis

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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포함된 파일(2)

  • SKILL.md11.2 KB
  • examples/analysis-output.json7.8 KB

SKILL.md(원문)

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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 This Skill Activates

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 the product-agent skill — 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

Start with the product-agent skill for baseline problem discovery, then enhance with deep competitor research using WebSearch and WebFetch.

Workflow

  1. Start with discovery using the product-agent skill to identify competitors. Extract the current_solutions field for the 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:

{
  "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 skill 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

    Run the product-agent skill with the idea "Task management app with AI prioritization."

    Result: Identifies Todoist, Things, OmniFocus, TickTick as main competitors

  2. Deep Research Each Competitor

    For Todoist:

    Repeat for Things, OmniFocus, TickTick

  3. Create Feature Matrix

    FeatureTodoistThingsOmniFocusTickTick
    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 product-agent skill:

1. product-agent → Quick validation (problem discovery)
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 the product-agent skill 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.

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