# Analyze Competitors With Structured Teardowns

Competitive research often becomes scattered across pricing pages, reviews, screenshots, and notes. This skill guides Claude, Codex, and Claude Code through structured teardowns with matrices, SWOT, positioning maps, and deliverables.

## Install

```bash
npx skillstore add halt-catch-fire/competitor-teardown
```

## Metadata

- Status: approved
- Slug: halt-catch-fire-competitor-teardown
- Skillstore revision: r1
- Version status: missing
- Tree hash: 68e180f8816d1c767fe7e9003b89635bf08526a0239ac7ec740802dcfe8fe19b
- Author: halt-catch-fire
- GitHub username: halt-catch-fire
- License: MIT
- Repository: https://github.com/halt-catch-fire/skills/tree/main/guides/product/competitor-teardown/
- Ref: 30c73eac2afe762f6aa9c4553158769369d47351
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: confirmation\_required
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network
- Quality score: 38
- Quality tier: warning
- Public page: https://skillstore.pages.dev/skills/halt-catch-fire-competitor-teardown
- Manifest: https://skillstore.pages.dev/api/skills/halt-catch-fire-competitor-teardown/manifest

## Capabilities

- Defines a seven-layer framework for product, pricing, positioning, traction, reviews, content, and team signals.
- Provides Belt CLI examples for web search, page extraction, browser screenshots, and review research.
- Supplies templates for feature matrices, pricing tables, SWOT analysis, positioning maps, and executive summaries.
- Guides review mining across G2, Capterra, app stores, Product Hunt, Reddit, and related sources.
- Shows how to create comparison visuals, including positioning maps and stitched screenshot grids.

## Use Cases

- Prioritize roadmap gaps: Compare competitor features, pricing tiers, and customer complaints to identify practical product opportunities.
- Build sales battlecards: Turn competitor strengths, weaknesses, positioning, and pricing into clear talking points for customer conversations.
- Prepare market landscapes: Summarize competitors, market positions, traction signals, and strategic gaps for planning or investor materials.

## Prompt Templates

### Review one competitor

```
Analyze [Competitor] against [Our Product]. Cover product, pricing, positioning, reviews, and the top three opportunities.
```

### Create a comparison matrix

```
Compare [Our Product] with [Competitor A], [Competitor B], and [Competitor C]. Build a feature matrix and pricing summary.
```

### Mine customer reviews

```
Analyze public reviews for [Competitor]. Group praise, complaints, switching reasons, feature requests, and positioning implications.
```

### Produce an executive teardown

```
Create a competitive teardown for [Market]. Include landscape summary, SWOT, positioning map guidance, review insights, and strategic recommendations.
```

## Limitations

- Requires the external Belt CLI and inference.sh apps for automated search, browsing, screenshots, and Python execution.
- Accuracy depends on public sources, current pricing pages, and review quality at the time of research.
- Does not replace legal review for scraping restrictions, trademark usage, or competitive intelligence policies.
- Cannot verify private metrics, confidential competitor data, or claims that lack public evidence.

## Best Practices

- Date every source and refresh the teardown before major planning or sales decisions.
- Separate verified evidence from interpretation so readers can judge confidence quickly.
- Include competitor strengths as well as weaknesses to keep the analysis credible.

## Anti Patterns

- Do not treat placeholder URLs or sample competitors as real research inputs.
- Do not send confidential targets, credentials, or private customer data to external research tools.
- Do not make pricing, traction, or review claims without current public evidence.

## Security Audit

- Audited at: 2026-07-05T14:39:05.8\+00:00
- Summary: I found no prompt injection attempt in SKILL.md, and many static findings are false positives from Markdown fences and placeholder URLs. Real risks remain because the skill authorizes broad Belt CLI use, runs networked research and browser apps, installs related skills, and demonstrates a remote Python executor. The skill appears useful for competitive research, but it needs clearer trust boundaries and narrower tool permissions before low-friction installation.

## Stats

- Views: 0
- Downloads: 8
- Favorites: 0
- Popularity score: 0