What does the GTM List Builder & Cleaner skill do?

It turns a raw B2B contact export (CSV or XLSX) into three tabs: Send-Ready (clean, deduped rows with a valid business email), Enrich (real people missing a business email, ready for a data waterfall), and Review (rows flagged for a human — bad names, role-based emails, duplicates, junk). It humanizes company names, recovers real first names from LinkedIn slugs, standardizes titles, and dedupes — without inventing data or silently deleting rows.

Yes. Enter your email and download the skill package (SKILL.md + a zero-dependency Python script + examples). Free to use for your own outbound.

How do I use the skill?

Two ways. Drop the folder into your Claude Code skills directory and ask Claude to 'clean this list for outreach' with your export attached — or run the included clean_list.py script directly (python3 clean_list.py your_export.csv). CSV works with zero dependencies; XLSX needs openpyxl.

GTM List Builder & Cleaner — Free AI Skill

What it does

One messy export in → three tabs out. The deterministic transforms run in a bundled Python script; the judgment runs in the SKILL.md when you use it with an AI agent.

✅ Send-Ready

Clean, deduped rows with a valid business email. Hand straight to Smartlead / Instantly / your sequencer.

💧 Enrich

Real people missing a business email. Ready for a Clay / Apollo / Hunter waterfall — not junk, just not sendable yet.

🔍 Review

Bad names, role-based emails, duplicates, likely junk — each flagged with the reason, so you decide, not a silent script.

See it work

Real rows from the bundled sample. Left is what came in; right is what the skill produced.

Raw exportCleaned

SPYKAR · SPYKAR LIFESTYLES PVT LTD→Rahul · Spykar Lifestyles

CA · Manager - Finance & Accounts (MBA)→Ajay · Finance Manager

(blank) · D'DECOR HOME FABRICS PRIVATE→Arjun · D'Decor Home Fabrics

info@tcns.com · VP-Sales→Review: role-based email

First names recovered from LinkedIn slugs; company names de-noised; role-based emails and duplicates routed to Review instead of your inbox.

What's inside & how to use it

SKILL.md

The judgment — brand-name rules, first-name recovery, title standardization, dedupe logic, and Build-mode sourcing.

clean_list.py

The deterministic transforms. Zero dependencies for CSV; openpyxl for XLSX.

examples/

A realistic messy list + the exact Send-Ready / Enrich / Review output.

With Claude Code: drop the folder into ~/.claude/skills/ and ask "clean this list for outreach" with your export attached.

# Or run the script directly
python3 clean_list.py your_export.csv
# → your_export_send_ready.csv, _enrich.csv, _review.csv

Download the skill — free

Enter your email and I'll unlock the download. You'll also get the occasional GTM playbook — unsubscribe anytime.

Free · SKILL.md + Python script + examples · 16 KB .zip

You're in — thanks! 🎉

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⬇ Download gtm-list-builder.zip

FAQ

Is it really free?

Yes. The whole package — SKILL.md, the Python script, and worked examples. Free to use for your own outbound.

Does it work without Claude?

Yes — clean_list.py runs standalone on any CSV with zero dependencies. The SKILL.md judgment layer is what an AI agent (Claude Code, etc.) adds on top when you use it as a skill.

Will it invent data to fill gaps?

Never. If it can't recover a real first name or verify something, it flags the row for Review rather than guessing. A fabricated name in a cold email is worse than a generic greeting.

Want a custom skill — or your whole outbound built for you?

This is one of the AI skills I build for GTM teams. I also run done-for-you outbound and RevOps engagements.

Work with me →

More: All AI Skills for GTM → · Reddit for B2B → · B2B Outbound Playbook →