competitor-teardown
Structured competitive analysis with feature matrices, SWOT, positioning maps, and UX review. Covers research frameworks, pricing comparison, review mining, and visual deliverables. Use for: market research, competitive intelligence, investor decks, product strategy, sales enablement. Triggers: competitor analysis, competitive analysis, competitor teardown, market research, competitive intelligence, swot analysis, competitor comparison, market landscape, competitor review, competitive landscape, feature comparison, market positioning
Best use case
competitor-teardown is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Structured competitive analysis with feature matrices, SWOT, positioning maps, and UX review. Covers research frameworks, pricing comparison, review mining, and visual deliverables. Use for: market research, competitive intelligence, investor decks, product strategy, sales enablement. Triggers: competitor analysis, competitive analysis, competitor teardown, market research, competitive intelligence, swot analysis, competitor comparison, market landscape, competitor review, competitive landscape, feature comparison, market positioning
Teams using competitor-teardown should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/competitor-teardown/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How competitor-teardown Compares
| Feature / Agent | competitor-teardown | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Structured competitive analysis with feature matrices, SWOT, positioning maps, and UX review. Covers research frameworks, pricing comparison, review mining, and visual deliverables. Use for: market research, competitive intelligence, investor decks, product strategy, sales enablement. Triggers: competitor analysis, competitive analysis, competitor teardown, market research, competitive intelligence, swot analysis, competitor comparison, market landscape, competitor review, competitive landscape, feature comparison, market positioning
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Competitor Teardown
Structured competitive analysis with research and screenshots via [inference.sh](https://inference.sh) CLI.
## Quick Start
```bash
curl -fsSL https://cli.inference.sh | sh && infsh login
# Research competitor landscape
infsh app run tavily/search-assistant --input '{
"query": "top project management tools comparison 2024 market share"
}'
# Screenshot competitor's website
infsh app run infsh/agent-browser --input '{
"url": "https://competitor.com",
"action": "screenshot"
}'
```
> **Install note:** The [install script](https://cli.inference.sh) only detects your OS/architecture, downloads the matching binary from `dist.inference.sh`, and verifies its SHA-256 checksum. No elevated permissions or background processes. [Manual install & verification](https://dist.inference.sh/cli/checksums.txt) available.
## Teardown Framework
### The 7-Layer Analysis
| Layer | What to Analyze | Data Source |
|-------|----------------|-------------|
| 1. **Product** | Features, UX, quality | Screenshots, free trial |
| 2. **Pricing** | Plans, pricing model, hidden costs | Pricing page, sales call |
| 3. **Positioning** | Messaging, tagline, ICP | Website, ads |
| 4. **Traction** | Users, revenue, growth | Web search, press, funding |
| 5. **Reviews** | Strengths, weaknesses from users | G2, Capterra, App Store |
| 6. **Content** | Blog, social, SEO strategy | Website, social profiles |
| 7. **Team** | Size, key hires, background | LinkedIn, About page |
## Research Commands
### Company Overview
```bash
# General intelligence
infsh app run tavily/search-assistant --input '{
"query": "CompetitorX company overview funding team size 2024"
}'
# Funding and financials
infsh app run exa/search --input '{
"query": "CompetitorX funding round series valuation investors"
}'
# Recent news
infsh app run tavily/search-assistant --input '{
"query": "CompetitorX latest news announcements 2024"
}'
```
### Product Analysis
```bash
# Feature comparison
infsh app run exa/search --input '{
"query": "CompetitorX vs alternatives feature comparison review"
}'
# Pricing details
infsh app run tavily/extract --input '{
"urls": ["https://competitor.com/pricing"]
}'
# User reviews
infsh app run tavily/search-assistant --input '{
"query": "CompetitorX reviews G2 Capterra pros cons 2024"
}'
```
### UX Screenshots
```bash
# Homepage
infsh app run infsh/agent-browser --input '{
"url": "https://competitor.com",
"action": "screenshot"
}'
# Pricing page
infsh app run infsh/agent-browser --input '{
"url": "https://competitor.com/pricing",
"action": "screenshot"
}'
# Signup flow
infsh app run infsh/agent-browser --input '{
"url": "https://competitor.com/signup",
"action": "screenshot"
}'
```
## Feature Matrix
### Structure
```markdown
| Feature | Your Product | Competitor A | Competitor B | Competitor C |
|---------|:---:|:---:|:---:|:---:|
| Real-time collaboration | ✅ | ✅ | ❌ | ✅ |
| API access | ✅ | Paid only | ✅ | ❌ |
| SSO/SAML | ✅ | Enterprise | ✅ | Enterprise |
| Custom reports | ✅ | Limited | ✅ | ❌ |
| Mobile app | ✅ | iOS only | ✅ | ✅ |
| Free tier | ✅ (unlimited) | ✅ (3 users) | ❌ | ✅ (1 project) |
| Integrations | 50+ | 100+ | 30+ | 20+ |
```
### Rules
- ✅ = Full support
- ⚠️ or "Partial" = Limited or conditional
- ❌ = Not available
- Note conditions: "Paid only", "Enterprise tier", "Beta"
- Lead with features where YOU win
- Be honest about competitor strengths — credibility matters
## Pricing Comparison
### Structure
```markdown
| | Your Product | Competitor A | Competitor B |
|---------|:---:|:---:|:---:|
| **Free tier** | Yes, 5 users | Yes, 3 users | No |
| **Starter** | $10/user/mo | $15/user/mo | $12/user/mo |
| **Pro** | $25/user/mo | $30/user/mo | $29/user/mo |
| **Enterprise** | Custom | Custom | $50/user/mo |
| **Billing** | Monthly/Annual | Annual only | Monthly/Annual |
| **Annual discount** | 20% | 15% | 25% |
| **Min seats** | 1 | 5 | 3 |
| **Hidden costs** | None | Setup fee $500 | API calls metered |
```
### What to Look For
- Minimum seat requirements
- Annual-only billing (reduces flexibility)
- Feature gating between tiers
- Overage charges
- Setup/onboarding fees
- Contract lock-in periods
## SWOT Analysis
Create a SWOT for each competitor:
```markdown
### Competitor A — SWOT
| Strengths | Weaknesses |
|-----------|------------|
| • Strong brand recognition | • Slow feature development |
| • Large integration ecosystem | • Complex onboarding (30+ min) |
| • Enterprise sales team | • No free tier |
| Opportunities | Threats |
|--------------|---------|
| • AI features not yet shipped | • New AI-native competitors |
| • Expanding into mid-market | • Customer complaints about pricing |
| • International markets untapped | • Key engineer departures (LinkedIn) |
```
## Positioning Map
A 2x2 matrix showing where competitors sit on two meaningful dimensions.
### Choose Meaningful Axes
| Good Axes | Bad Axes |
|-----------|----------|
| Simple ↔ Complex | Good ↔ Bad |
| SMB ↔ Enterprise | Cheap ↔ Expensive (too obvious) |
| Self-serve ↔ Sales-led | Old ↔ New |
| Specialized ↔ General | Small ↔ Large |
| Opinionated ↔ Flexible | — |
### Template
```
Enterprise
│
Competitor C │ Competitor A
● │ ●
│
Simple ──────────────────────────── Complex
│
You ● │ Competitor B
│ ●
│
SMB
```
### Generating the Visual
```bash
# Create positioning map with Python
infsh app run infsh/python-executor --input '{
"code": "import matplotlib.pyplot as plt\nimport matplotlib\nmatplotlib.use(\"Agg\")\n\nfig, ax = plt.subplots(figsize=(10, 10))\n\n# Competitors\ncompetitors = {\n \"You\": (-0.3, -0.3),\n \"Competitor A\": (0.5, 0.6),\n \"Competitor B\": (0.6, -0.4),\n \"Competitor C\": (-0.4, 0.5)\n}\n\nfor name, (x, y) in competitors.items():\n color = \"#22c55e\" if name == \"You\" else \"#6366f1\"\n size = 200 if name == \"You\" else 150\n ax.scatter(x, y, s=size, c=color, zorder=5)\n ax.annotate(name, (x, y), textcoords=\"offset points\", xytext=(10, 10), fontsize=12, fontweight=\"bold\")\n\nax.axhline(y=0, color=\"grey\", linewidth=0.5)\nax.axvline(x=0, color=\"grey\", linewidth=0.5)\nax.set_xlim(-1, 1)\nax.set_ylim(-1, 1)\nax.set_xlabel(\"Simple ← → Complex\", fontsize=14)\nax.set_ylabel(\"SMB ← → Enterprise\", fontsize=14)\nax.set_title(\"Competitive Positioning Map\", fontsize=16, fontweight=\"bold\")\nax.grid(True, alpha=0.3)\nplt.tight_layout()\nplt.savefig(\"positioning-map.png\", dpi=150)\nprint(\"Saved\")"
}'
```
## Review Mining
### Where to Find Reviews
| Platform | Best For | URL Pattern |
|----------|----------|-------------|
| G2 | B2B SaaS | g2.com/products/[product]/reviews |
| Capterra | Business software | capterra.com/software/[id]/reviews |
| App Store | iOS apps | apps.apple.com |
| Google Play | Android apps | play.google.com |
| Product Hunt | Launches | producthunt.com/posts/[product] |
| Reddit | Honest opinions | reddit.com/r/[relevant-sub] |
### What to Extract
| Category | Look For |
|----------|---------|
| **Most praised** | What features do happy users mention most? |
| **Most complained** | What do unhappy users say? (= your opportunity) |
| **Switching reasons** | Why do users leave? What triggers switching? |
| **Feature requests** | What's missing that users want? |
| **Comparison mentions** | When users compare, what do they say? |
```bash
# Mine G2 reviews
infsh app run tavily/search-assistant --input '{
"query": "CompetitorX G2 reviews complaints issues 2024"
}'
# Reddit sentiment
infsh app run exa/search --input '{
"query": "reddit CompetitorX alternative frustration switching"
}'
```
## Deliverable Formats
### Executive Summary (1 page)
```markdown
## Competitive Landscape Summary
**Market:** [Category] — $[X]B market growing [Y]% annually
**Key competitors:** A (leader), B (challenger), C (niche)
**Our positioning:** [Where you sit and why it matters]
**Key insight:** [One sentence about the biggest opportunity]
| Metric | You | A | B | C |
|--------|-----|---|---|---|
| Users | X | Y | Z | W |
| Pricing (starter) | $X | $Y | $Z | $W |
| Rating (G2) | X.X | Y.Y | Z.Z | W.W |
```
### Detailed Report (per competitor)
1. Company overview (size, funding, team)
2. Product analysis (features, UX screenshots)
3. Pricing breakdown
4. SWOT analysis
5. Review analysis (top praised, top complained)
6. Positioning vs. you
7. Opportunity summary
## Comparison Grid Visual
```bash
# Stitch competitor screenshots into comparison
infsh app run infsh/stitch-images --input '{
"images": ["your-homepage.png", "competitorA-homepage.png", "competitorB-homepage.png"],
"direction": "horizontal"
}'
```
## Common Mistakes
| Mistake | Problem | Fix |
|---------|---------|-----|
| Only looking at features | Misses positioning, pricing, traction | Use the 7-layer framework |
| Biased analysis | Loses credibility | Be honest about competitor strengths |
| Outdated data | Wrong conclusions | Date all research, refresh quarterly |
| Too many competitors | Analysis paralysis | Focus on top 3-5 direct competitors |
| No "so what" | Data without insight | End each section with implications for you |
| Feature-only comparison | Doesn't show positioning | Include pricing, reviews, positioning map |
## Related Skills
```bash
npx skills add inference-sh/skills@web-search
npx skills add inference-sh/skills@prompt-engineering
```
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