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Lookalike Customer Finder

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.

3k tokens
context cost
the whole folder, loaded on every use
5
files
instructions only
0
copies elsewhere
how many repositories repackaged it
235
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/OneWave-AI/claude-skills --skill lookalike-customer-finder

The instruction itself

3 sections, as written by the author

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

  • Collect the best customers provided. If none are given, ask for the top 5-10 accounts.
  • Analyze common characteristics across them. See references/scoring-model.md for the five profile dimensions.
  • Build the Ideal Customer Profile (ICP) from those shared traits.
  • Search the market for companies matching the ICP. Pull firmographics, tech stack, growth signals, and contacts from the tools in references/data-sources.md.
  • Score each candidate 0-100 using the weighted scoring model in references/scoring-model.md.
  • Rank and tier the companies by score (Tier 1: top 10, Tier 2: next 40, Tier 3: next 50).
  • Produce the report following references/output-template.md, including market insights, a tiered targeting strategy, and a quick-start action plan.
  • 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

Copy the folder

Take onewave-ai/lookalike-customer-finder from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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