competitor-crusher
Skill8 starsChanged 5 months agoNo licenceView on GitHub
Analisi competitiva ultra-avanzata: reverse engineering dei competitor, analisi SEO competitor, gap analysis di contenuto, analisi backlink competitor, social media competitor analysis, pricing analysis, USP identification, posizionamento contro competitor, strategie per dominare e abbattere la concorrenza, competitive intelligence, SWOT avanzato, blue ocean strategy. Attiva quando l'utente vuole analizzare competitor, battere la concorrenza, trovare gap di mercato, studiare il posizionamento competitivo.
In this repository21 other files it gives its agents.
- agent-swarmSkill
- apexSkill
- brand-masterSkill
- canva-masterSkill
- design-systemSkill
- frontend-3dSkill
- genesisSkill
- hyperionSkill
- instagram-algoSkill
- music-soundSkill
- neuro-copySkill
- nexusSkill
- omega-plusSkill
- omegaSkill
- prometheus-agiSkill
- resonance-orchestratorSkill
- seo-dominatorSkill
- singularitySkill
- skill-creatorSkill
- token-optimizerSkill
- webflow-masterSkill
The file
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
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.