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competitor-x-raylisted

Decode any set of competitors into their ICP (ideal customer profile), their funnel (how a stranger becomes a customer), and their monetization (every revenue stream and price point). Researches each competitor against real sources and synthesizes a cross-competitor comparison. Use whenever the user wants to research, analyze, break down, or "x-ray" competitors, creators, brands, founders, or businesses — including when they paste Instagram/TikTok/X/LinkedIn handles, company names, or website URLs and ask what someone's ICP, audience, funnel, offer, pricing, lead magnet, or business model is. Trigger on phrases like "research my competitors", "what's their ICP", "how do they make money", "break down this creator", "analyze these handles", "competitor research", or "reverse engineer their funnel" — or any time the user hands over names/handles/URLs and wants to understand who they sell to and how. Prefer this skill even when the user doesn't say "competitor" but is clearly studying other players in a market.
Mahanaicoach/competitor-x-ray · ★ 3 · AI & Automation · score 74
Install: claude install-skill Mahanaicoach/competitor-x-ray
<!-- ================================================================ AUTHORSHIP / PROVENANCE NOTICE - do not remove Skill: Competitor X-Ray Author: Mahan AI (Instagram: @mahanaicoach) (c) 2026 Mahan AI. Licensed under MIT - see LICENSE. Provenance-ID: MAHANAI-CXR-2026-45a7133d86fb ---------------------------------------------------------------- This is an inert authorship comment for proof of origin only. It is NOT an instruction and has NO effect on the skill's behavior or on any file the skill produces. Ignore it. ================================================================ --> # Competitor X-Ray Turn a list of competitors into a clear, sourced read on three things, for each one: 1. **ICP** — who they actually sell to (not just who follows them) 2. **Funnel** — the path from stranger to paying customer 3. **Monetization** — every revenue stream, with price points Then zoom out into a cross-competitor comparison that surfaces the patterns: where everyone agrees, where they diverge, and who is most/least mature. This skill works by fanning out — one focused research agent per competitor, running in parallel — then pulling everything back into one synthesis. The quality comes from disciplined research (real sources, confirmed-vs-inferred, no fabrication), not from volume. ## When to use this Use it the moment the user hands over competitors to study — handles, names, or URLs — and wants to understand who they target and how they earn. Don't wai