Agent skill · marketing growth · onewave-ai
lookalike-customer-finder
Input your best customers and find 100+ companies that match the profile. Uses firmographic data, tech stack, growth signals, and similarity scoring to identify ideal prospects. Use when building target account lists or expanding to new markets.
Why this skill is useful
Provides a structured workflow and scoring model for identifying lookalike customers that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
Lookalike Customer Finder Analyze a company's best customers and find similar companies that match the same profile, producing a high-quality, ranked target account list. Contents references/scoring-model.md - Profile dimensions, weighted scoring model, and score bands. references/output-template.md - Full Markdown report structure (ICP, ranked lookalikes, market insights, targeting strategy, action plan). references/data-sources.md - Recommended enrichment tools and data points to gather. references/examples.md - Best practices, trigger phrases, and an example request. Workflow 1. Collect the best customers provided. If none are given, ask for the top 5-10 accounts. 2. Analyze common characteristics across them. See references/scoring-model.md for the five profile dimensions. 3. Build the Ideal Customer Profile (ICP) from those shared traits. 4. Search the market for companies matching the ICP. Pull firmographics, tech stack, growth signals, and contacts from the tools in references/data-sources.md. 5. Score each candidate 0-100 using the weighted scoring model in references/scoring-model.md. 6. Rank and tier the companies by score (Tier 1: top 10, Tier 2: next 40, Tier 3: next 50). 7. Produce the report following references/output-template.md, including market insights, a tiered targeting strategy, and a quick-start action plan. 8. Apply the best practices in references/examples.md throughout: favor quality over quantity, weight growth signals, and enrich contacts before recommending outreach.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/lookalike-customer-finder