Lookalike Customer Finder

SkillAI & models

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Lookalike Customer Finder skill

What this skill tells your AI

The instructions your AI receives, as published by onewave-ai/claude-skills in lookalike-customer-finder/SKILL.md and read by ahel’s review.

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.

Signals

GitHub stars
291
Forks
46
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
lookalike-customer-finder
Source
github.com/onewave-ai/claude-skills