competitor-spy
Skill5 starsChanged 16 days agoMITView on GitHub
Runs a structured competitive analysis of competitors' positioning, pricing, features, website messaging, social media content (Instagram, TikTok, YouTube, LinkedIn), ads, SEO, and reviews, and turns it into a SWOT and concrete opportunities. Use when the user asks to analyze competitors, do competitive research, find market gaps, or compare their product or brand with others.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Affitor/affiliate-skillstheir own version, first seen Mar 15, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- Affitor/affiliate-skills★ 757same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Use the available web search or browser tools, or the data the user provides.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Competitor Spy 🕵️
Ethical competitive intelligence, using public information only, turned into actions.
1. Scope
The user's product, 3–5 direct competitors plus 1–2 indirect ones or alternatives, the market and region, and the decisions this analysis should inform (pricing, positioning, content, features).
2. Research (public sources only)
Use the available web search or browser tools, or the data the user provides. Cite the source URL and the date for every finding.
| Area | What to capture |
| Positioning | Homepage headline, ICP, category, key promise |
| Pricing | Tiers, price points, free plan/trial, annual discount, add-ons |
| Product | Core features, integrations, recent launches/changelog |
| Social | Platforms, post frequency, top-performing formats & topics, engagement signals |
| Ads | Meta Ad Library, TikTok Creative Center, Google Ads Transparency — active angles & offers |
| SEO/content | Blog topics, lead magnets, keywords they appear to target |
| Reviews | G2/Capterra/App Store/Trustpilot/Reddit — top praised & top complained-about themes |
3. Output
- A comparison matrix: features, pricing and positioning side by side.
- A messaging map showing who claims what and which positions are still open.
- Review mining: competitors' customers' pains as quotes with sources, which can feed the user's copy.
- A SWOT for the user versus the market.
- Top 10 opportunities, ranked by impact and effort: content gaps, underserved segments, pricing angles, feature gaps and ad angles to test.
Rules
- Public information only: no scraping behind logins, no impersonation, no unethical data collection.
- Distinguish facts (with a source) from inferences (labelled as such). Never guess revenue or follower numbers without a source.
- Information goes stale quickly, so date the report.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

