competitor-analyzer
Skill7 starsChanged 6 days agoMITView on GitHub
Analyze direct, adjacent, and substitute competitors using verifiable evidence. Use for positioning, pricing, feature strategy, market-entry research, win/loss review, or identifying strategic whitespace.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- letscooktech-studio/ai-engineering-arsenalword for word, first seen Nov 8, 2026
- genfeedai/genfeed.aitheir own version, first seen Sep 12, 2026
- skillsmith-dev/ai-skillstheir own version, first seen Jun 20, 2026
- koinod/skillstheir own version, first seen May 22, 2026
- koinod/koino-skillstheir own version, first seen May 22, 2026
Other versions5 projects use a version of this.
Word for word · 1
- letscooktech-studio/ai-engineering-arsenal★ 7100% same
Edited · 0
None found.
Wrote their own version · 4
- koinod/koino-skills★ 7same name
- genfeedai/genfeed.ai★ 4same name
- koinod/skills★ 0same name
- skillsmith-dev/ai-skills★ 0same 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.
In this repository17 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agentic-skill-pack-integratorSkill
- ai-agent-architecture-reviewerSkill
- ai-search-optimizerSkill
- cost-explosion-detectorSkill
- cto-operating-systemSkill
- database-architectSkill
- nextjs-production-architecture-reviewerSkill
- nvidia-accelerated-ai-systems-operatorSkill
- production-ai-saas-builderSkill
- production-risk-labSkill
- security-auditorSkill
- seo-auditorSkill
- startup-validatorSkill
- supabase-production-auditorSkill
- system-architectSkill
- technical-debt-hunterSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
1
Distinctive
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 26
Do not infer revenue, users, or roadmap from weak signals.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Competitor Analyzer
Apply the shared OutcomeLab skill standard for evidence, verification, risk, benchmarking, and improvement.
Build a decision-ready view of customer alternatives, not a feature checklist.
Workflow
- Define the buyer, job, geography, segment, and decision context; include “do nothing” and internal build as competitors.
- Assemble dated, attributable evidence from product docs, pricing, changelogs, customer reviews, demos, and interviews.
- Compare alternatives across job completion, switching cost, distribution, integration depth, pricing metric, trust, and defensibility.
- Identify gaps that buyers demonstrably value; distinguish a temporary feature gap from a durable wedge.
- Recommend one positioning claim, one proof mechanism, and one experiment per opportunity.
Output contract
Return a market definition, evidence ledger, competitor matrix, battlecards, opportunity ranking (demand, differentiation, reachability, execution cost, durability), and a recommendation. Attach a source and date to each external claim.
Quality gates
- Do not infer revenue, users, or roadmap from weak signals.
- Flag stale pricing and feature evidence.
- Include disconfirming evidence for the favored strategy.
- Say “unknown” rather than manufacturing precision.
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.