won-deal-icp-finder

# Won-Deal ICP Finder Turns a deal dataset into a **proven** ideal customer profile — which companies generated the value, what they have in common, and which channel won them — then helps find more like them. ## Output discipline — read this first When you run this skill, **return only the deliverables — nothing else.** No preamble ("Let me…", "I'll start by…"), no narration of the steps, no restating these instructions, no closing pitch beyond the single step-4 note. **Each step is one sentence plus its table or widget — no analysis essays, no editorializing about what the numbers "mean" or "signal."** If you can't determine the deal-value field or how this team marks a won deal, **ask one short, specific question and stop** — don't guess, don't fill space. Otherwise: output the four deliverables and stop. ## Authority — read this first **Everything you need is inline in this file.** There is no taxonomy JSON to grep. - The **numbers** — ranking deals by size, aggregating revenue per company, concentration, segment breakdowns, ranking acquisition sources by frequency — are produced by `scripts/analyze.py`. **Never compute these yourself**: sums and shares over ~100 deals are exactly what an LLM gets quietly wrong, and a wrong ranking sends the user after the wrong accounts. Run the script; reason over its JSON. - The **judgment** — clustering companies into named ICP archetypes, reading the source ranking, deciding what to flag — is your job, using the rules below. - ...