Find companies similar to a seed domain via PredictLeads' similarcompanies endpoint and persist them as a result set ready for enrichment or qualification.

MITAuto-check: notesMarketing & SEO

Install Find Lookalikes

skills CLI
$ npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill find-lookalikes -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Othmane-Khadri/YALC-the-GTM-operating-system find-lookalikes --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Othmane-Khadri/YALC-the-GTM-operating-system.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/find-lookalikes .claude/skills/find-lookalikes && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
find-lookalikes
GitHub stars
318
Token cost
~495 tokens
SKILL.md length
178 words
Files
2 (incl. references)
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

Find companies similar to a seed domain via PredictLeads' similarcompanies endpoint and persist them as a result set ready for enrichment or qualification.

  • Works in 6 steps: Ask for seed domain → Validate (basic domain format) → Shell out → …
  • The user says find lookalikes for [domain]
  • SKILL.md covers When This Skill Applies, Workflow and Notes
  • Calls npx; needs PREDICTLEADS_API_KEY

What it does

Find Lookalikes is an agent skill from Othmane-Khadri/YALC-the-GTM-operating-system. Find companies similar to a seed domain via PredictLeads' similarcompanies endpoint and persist them as a result set ready for enrichment or qualification. Use when the user says 'find lookalikes for [domain]', 'companies similar to [name]', 'show me lookalike accounts', 'expand from this company', or 'discover similar prospects'. Side-effecting — calls PredictLeads API and writes to local cache.

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/example-output.md`).

It sits in Marketing & SEO. The repository describes itself as: YALC 1.0, the open-source Clay alternative. MIT, CLI-first, self-hosted, runs in Claude Code. Yalc today is an intelligent orchestration layer that runs pre configured GTM agents…. The licence is MIT.

When your agent uses it

  • The user says find lookalikes for [domain]
  • Companies similar to [name]
  • Show me lookalike accounts
  • Expand from this company

Example prompts

  • “find lookalikes for [domain]”
  • “companies similar to [name]”
  • “show me lookalike accounts”
  • “/find-lookalikes”

Requirements

  • Node.js
  • A credential in PREDICTLEADS_API_KEY

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Ask for seed domain
  2. Validate (basic domain format)
  3. Shell out
  4. Parse output
  5. Render
  6. Offer follow-ups

What it can do on your machine

Read from SKILL.md and the folder at commit 5686d1f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • PREDICTLEADS_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Find Lookalikes loads about 495 tokens when it runs, and up to ~682 if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 178 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~104
When it runs · the whole SKILL.md, loaded when a task matches
~495
With references · SKILL.md plus every file in references/, read only if the agent opens them
~682

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:36
    cd ~/Desktop/gtm-os && set -a && source .env.local && set +a && \
  • NoteMentions a .env fileSKILL.md:56
    res `PREDICTLEADS_API_KEY` in `~/.gtm-os/.env`.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Othmane-Khadri/YALC-the-GTM-operating-system at commit 5686d1f, republished under its MIT licence (© Othmane-Khadri). 178 words, ~495 tokens.

Download SKILL.mdSave it as .claude/skills/find-lookalikes/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
find-lookalikes
description
Find companies similar to a seed domain via PredictLeads' similar_companies endpoint and persist them as a result set ready for enrichment or qualification. Use when the user says 'find lookalikes for [domain]', 'companies similar to [name]', 'show me lookalike accounts', 'expand from this company', or 'discover similar prospects'. Side-effecting — calls PredictLeads API and writes to local cache.
version
1.0.0

Find Lookalikes

I'll wrap signals:similar. Ask for a seed domain, shell out to PredictLeads, dedupe + cache, and surface the lookalike list as a result set.

When This Skill Applies

  • "find lookalikes for [domain]"
  • "companies similar to [name]"
  • "show me lookalike accounts"
  • "expand from this company"
  • "discover similar prospects"

NOT this skill (use prospect-discovery-pipeline instead):

  • "find prospects like our best client" — that's the full 5-phase orchestrator (lookalikes → ICP filter → CMO finder → signals → variants).

NOT this skill (use enrich-with-signals instead):

  • "enrich these companies with PredictLeads signals" — that pulls jobs/news/funding/tech for an EXISTING list.

Workflow

Step 0 — Ask for seed domain

"What's the seed domain or company URL?"

Step 1 — Validate (basic domain format)
Step 2 — Shell out
bash
cd ~/Desktop/gtm-os && set -a && source .env.local && set +a && \
  npx tsx src/cli/index.ts signals:similar --domain <domain>

Single-command side-effecting → shell out per the benchmark.

Step 3 — Parse output

The CLI emits the lookalike list + result set id + cache hit/miss flags.

Step 4 — Render

See references/example-output.md.

Step 5 — Offer follow-ups

"Want me to (a) enrich these with signals via enrich-with-signals, (b) qualify them via qualify-leads?"

Notes

  • Requires PREDICTLEADS_API_KEY in ~/.gtm-os/.env.
  • Cached 7 days per seed domain.
  • ~1 PredictLeads credit per call.

© Othmane-Khadri, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in .claude/skills/find-lookalikes of Othmane-Khadri/YALC-the-GTM-operating-system.

  • SKILL.md
  • references/example-output.md

Open the folder on GitHubat commit 5686d1f

Compare with similar skills

Find Lookalikes next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Find Lookalikes compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Find Lookalikes this skillOthmane-Khadri/YALC-the-GTM-operating-system318—~495Automated safety check: NotesMIT
Geo Fundamentalswasp-lang/wasp19k9 repos~861Automated safety check: PassMIT
Ab Testingcoreyhaines31/marketingskills54k3 repos~3.1kAutomated safety check: PassMIT
Hreflang and International SEOAgriciDaniel/claude-seo19k5 repos~3.4kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Find Lookalikes

What does Find Lookalikes do?

Find companies similar to a seed domain via PredictLeads' similarcompanies endpoint and persist them as a result set ready for enrichment or qualification. Find Lookalikes is an agent skill from Othmane-Khadri/YALC-the-GTM-operating-system. Find companies similar to a seed domain via PredictLeads' similarcompanies endpoint and persist them as a result set ready for enrichment or qualification.

When should I use Find Lookalikes?

Find Lookalikes fits situations like: the user says find lookalikes for [domain]; companies similar to [name]; show me lookalike accounts; expand from this company.

How do I install Find Lookalikes in Claude Code?

Run `npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill find-lookalikes -a claude-code`. Or copy the skill folder (.claude/skills/find-lookalikes in Othmane-Khadri/YALC-the-GTM-operating-system) into .claude/skills/find-lookalikes in your project. Claude Code loads it when a task matches its description.

How do I install Find Lookalikes in Codex?

Run `npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill find-lookalikes -a codex`. Or copy the skill folder (.claude/skills/find-lookalikes in Othmane-Khadri/YALC-the-GTM-operating-system) into .agents/skills/find-lookalikes in your project. Codex loads it when a task matches its description.

Can I use Find Lookalikes in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill find-lookalikes -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/find-lookalikes, .gemini/skills/find-lookalikes, .github/skills/find-lookalikes and .opencode/skills/find-lookalikes in your project.

What does Find Lookalikes need to run?

Going by SKILL.md and its folder, Find Lookalikes needs the command-line tools its instructions call (npx) and credentials named PREDICTLEADS_API_KEY. Our summary lists: Node.js; A credential in PREDICTLEADS_API_KEY.

Does Find Lookalikes access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Find Lookalikes safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Find Lookalikes use?

Find Lookalikes is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Find Lookalikes use?

About 495 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 187 tokens, read only when the agent opens those files.

What are the alternatives to Find Lookalikes?

Skills that share tags, products or a category with Find Lookalikes: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Find Lookalikes?

Othmane-Khadri (a GitHub user) maintains it in Othmane-Khadri/YALC-the-GTM-operating-system, which has 318 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on August 20, 2026.

Source: Othmane-Khadri/YALC-the-GTM-operating-system on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.