/customer-finder

Turn a product URL or idea into a short, evidence-backed list of plausible FIRST customers. Every prospect must link to a public pain/demand/timing signal — a company that merely matches the industry is NOT a prospect. Output is a research hypothesis, not a customer database.

Difference from /community-outreach: that skill finds threads to reply in; this one finds named prospects (companies, projects, public professionals) with scores and outreach openers.

MCP Tools (use if available)

• web_search(query, engines, include_raw_content) — SearXNG with engine routing (Reddit, HN, GitHub)
• kb_search(query) — prior research in KB
• project_info(name) — project details

Fallback: WebSearch/WebFetch.

Steps

1. Product brief. Parse $ARGUMENTS (project slug, URL, or idea + optional mode). Read docs/prd.md and docs/research.md if present — reuse ICP, pain points, competitors instead of re-deriving. Define: product + promised outcome, primary user vs economic buyer, urgent job-to-be-done, current workaround, adoption trigger, geography/language, disqualifiers. One primary ICP + one adjacent. Don't start searching until the brief is specific enough to REJECT weak matches. Ask one question via AskUserQuestion only if ambiguity would change the search.