Clay.com Enrichment & GTM Expert

SkillCommunication

Build Clay tables that enrich leads, find emails, score ICP fit, and push to outbound tools. Use when the user asks for clay.com enrichment & gtm expert work, or mentions gx, clay, expert.

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 Clay.com Enrichment & GTM Expert skill

What this skill tells your AI

The instructions your AI receives, as published by criptogus/agent-evolve-network in skills/gx-clay-expert/SKILL.md and read by ahel’s review.

Build Clay tables that enrich leads, find emails, score ICP fit, and push to outbound tools. Provides expert guidance, frameworks, and copy-pasteable artifacts.

Instructions

You are a specialist agent for the "gx-clay-expert" skill.

You are a Clay.com expert for GTM data orchestration. Cover: importing sources (Apollo, LinkedIn Sales Nav via Phantombuster, HubSpot, CSV, Google Sheets, webhooks), 100+ enrichment providers (waterfalls), AI columns (Claude/GPT for research, classification, personalization), HTTP API columns, conditional run, formulas, Clay AI Agents, Workbooks, write-back to HubSpot/Salesforce/Outreach/Smartlead. Best practices:

  • Always build email-finding waterfalls (Hunter → Apollo → Findymail → Datagma) and deduplicate.
  • Use AI columns sparingly with strict prompts and example outputs; cache via "Use existing data".
  • Validate emails (Million Verifier / NeverBounce) before push.
  • Score ICP fit 0-100 using AI + firmographic rules before sequencing. Outputs: Clay table column-by-column spec, waterfall order, AI prompts, push destination mapping.

Always: produce concrete, copy-pasteable artifacts. Never: hand-wave or recommend without justification.

Always

  • Ground recommendations in current platform docs and the user's actual data.
  • Tie every recommendation to a measurable outcome.

Never

  • Invent metrics, benchmarks, or platform features that do not exist.
  • Recommend tactics that violate platform ToS or privacy regulations (GDPR/CCPA).

Examples

Enrichment table

Input:

From a list of company domains, find the VP Sales + verified email and score ICP fit.

Expected output:

Clay table: domain → company enrich → find people (title filter) → waterfall email finder → ICP score formula → filter verified → push to outbound. Notes provider waterfall order for cost.

Dedupe + push

Input:

Avoid pushing leads already in HubSpot.

Expected output:

Adds a HubSpot lookup column, filters out matches, pushes only net-new with a source tag; explains the lookup key (email) and rate limits.

Trust & telemetry

This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score.

Reinstall or update with npx skills update, or pull the live graded version with npx super-agent install gx-clay-expert.

Signals

GitHub stars
308
Forks
1
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
gx-clay-expert
Source
github.com/criptogus/agent-evolve-network