clay-automation
Build production-grade Clay enrichment workflows — table architecture, waterfall configuration, Claygent AI research, Sculptor table building, CRM push with…
Skill by LeadMagic
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/leadmagic-clay-automation
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: sales, research, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/clay-automation
What's inside
- Skill name
clay-automation- Description
- Build production-grade Clay enrichment workflows — table architecture, waterfall configuration, Claygent AI research, Sculptor table building, CRM push with clay_status properties, credit optimization. Use when building Clay tables, configuring enrichment waterfalls, setting up Claygent, or automating GTM workflows in Clay. Triggers on: "Clay", "Clay workflow", "Clay table", "Claygent", "Sculptor", "Clay enrichment", "Clay waterfall", "Clay automation", or any request about building workflows in Clay.
- License
- MIT
- Compatibility
- Claude Code, Codex, GitHub Copilot, Cursor, Gemini CLI, OpenCode, Goose, Hermes, Windsurf, Zed
- Metadata
- author: LeadMagic · version: 1.0.0 · category: automation
- Instructions
- 186 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (7)
- SKILL.md
- automation-playbook-index.md · references/
- eric-nowoslawski-outbound.md · references/
- framework-notes.md · references/
- gtm-automation-expert-playbook.md · references/
- check-output.py · scripts/
- output-template.md · templates/
SKILL.md (first lines)
# Clay Automation ## Overview Clay is the orchestration layer where enrichment, scoring, and routing converge. Used correctly, it's a GTM multiplier. Used incorrectly, it's a credit-burning machine producing data nobody trusts. This skill covers **when and how to roll out** Clay automation — data quality, table separation, rollout phases, and n8n handoff. **Playbook index:** `references/automation-playbook-index.md` — all 38 automation + tool + gtm-ops playbooks. **Automation strategy (before tool config):** Jen Igartua (Go Nimbly) — data before AI, maturity levels 0–4, human+machine division. Canonical → `references/gtm-automation-expert-playbook.md` (Pattern 30). Outbound copy/infra → Eric Nowoslawski / Pat Spielmann / Justin Michael — not this skill. **Tool implementation** (table columns, LeadMagic waterfalls, loops) lives in `tools/`: - `clay-toolkit` (`tools/clay-toolkit`) — tables and waterfalls - `clay-loops-toolkit` (`tools/clay-loops-toolkit`) — signal loops ## When to Use - "Build a Clay enrichment workflow" - "Set up a Clay table for our prospecting" - "Configure a waterfall in Clay" - "Use Claygent for research" - "Push enriched data from Clay to HubSpot" - "Optimize our Clay credit usage" - "Design a Clay automation pipeline" ## Authoritative Foundations Clay workflow design follows patterns from DAMA-DMBOK data-quality dimensions, Ziellab (3 separate waterfalls: company, email, phone), and GTME Pulse (10 production templates tested at $5M-$100M ARR companies). The core principle: Clay is a routing engine, not a CRM. Enriched data lives in your CRM; Clay processes it en route. - **Eric Nowoslawski — Crawl Walk Run (Growth Engine X).** Roll out Clay automation in phases: **Crawl** — manual campaigns for 5–10 companies (no AI); **Walk** — system prompt with business context + manual examples, review first 50 outputs; **Run** — automate in Clay → Smartlead/SEP with Supabase for block lists. Default campaign type: **Creative Ideas** (3 constrained capabilities per prospect). Playbook → `references/eric-nowoslawski-outbound.md`. ## Prerequisites - Clay account (Pro plan or above for waterfall features and conditional columns) - API keys for enrichment providers (Apollo, ZoomInfo, PDL, etc.) - CRM connected (HubSpot, Salesforce, or Attio) - ICP defined and documented ## Step-by-Step Process ### Phase 1: Table Architecture **Rule: separate company and person tables.** Company table: one row per domain. Enriches firmographics, tech stack, company-level qualification once. Person table: one row per contact. References company data via domain lookup. Enriches email, phone, LinkedIn, role-level qualification. This separation prevents credit waste from re-enriching the same company data across every contact row. ### Phase 2: Waterfall Configuration For each data field, configure a conditional waterfall: | Field | Primary | Fallback 1 | Fallback 2 | |---|---|---|---| | Email | LeadMagic Email Finder | Apollo | Hunter | | Phone | Apollo | Cognism | ContactOut | | Company data | Clay native | Apollo Company | Clearbit | Set conditions: each fallback only fires when the previous step returns empty or error. Use Clay's conditional logic: "Only run if [previous column] is blank." ### Phase 3: Claygent Configuration Claygent is AI-powered web research. Configure prompts explicitly: **Good prompt:** "Find the work email for [name] at [company]. Search the company's team page, LinkedIn profile, and press releases. Return the email AND the source URL. Do NOT guess or construct emails from patterns. If no verified source, return empty." **Bad prompt (don't use):** "Find me their email." Critical rules: - Always require source URL citation - Explicitly prohibit pattern-guessing - Set credit cap per Claygent call (5-10 credits) - Use only for the 10-15% that structured providers miss ### Phase 4: CRM Push Push enriched data to CRM with a clay_status property: | clay_status | Meaning | Action | |---|---|---| | pending | In enrichment | Hold — not ready | | enriched | Enrichment complete | Ready for verification | | verified | Verified and safe | Can enter sequences | | exported | Pushed to CRM | Done, archive in Clay | Only contacts with clay_status = verified enter sequences. ### Phase 5: Credit Optimization 1. **Qualify first, enrich deep later.** Run ICP filters before expensive contact enrichment. Cuts costs 30-40%.
From LeadMagic/gtm-skills, MIT.
More from LeadMagic/gtm-skills
- 0.638score
a-b-testing
LeadMagic
Design statistically sound GTM experiments for copy, channels, landing pages, sequencing, pricing, and funnel conversion.
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
campaign-analytics
LeadMagic
Analyze campaign performance from deliverability through revenue: delivery, engagement, replies, meetings, SQOs, pipeline, CAC, and payback.
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
growth-experimentation
LeadMagic
Build a growth experimentation system — ICE scoring, growth sprints, experiment design, statistical significance, and learning repositories.
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
gtm-metrics
LeadMagic
Build a GTM metrics system for SaaS: funnel conversion, pipeline velocity, win rates, CAC, payback, NRR, sales efficiency, growth accounting, and executive…
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
gtm-system-architecture
LeadMagic
Design a complete GTM operating system — revenue model, data model, operating model, growth model, and GTM model per WbD's 6-model framework.
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
tracking-plan
LeadMagic
Master analytics tracking plan for PLG and B2B SaaS — unified event taxonomy, pixel strategy (1P and 3P tagging), marketing attribution architecture, CDP…
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
salesforce-setup
LeadMagic
Set up Salesforce for B2B SaaS GTM — object model, opportunity pipelines, lead management, reports and dashboards, automation (Flows), and enrichment…
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
abm-1-to-few
LeadMagic
Runs ABM at scale (1-to-few) for 15-50 clustered accounts: industry or persona clusters, semi-custom campaigns, and cluster-level content.
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
abm-1-to-1
LeadMagic
Runs strategic 1-to-1 ABM for 5-15 high-value accounts: account plans, custom microsites, executive engagement, direct mail, and board-level connections.
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
abm-strategy
LeadMagic
Designs an account-based marketing program: tier selection, account scoring, channel orchestration, BDR alignment (account-based sales development), and a…
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
account-selection
LeadMagic
Builds and tiers a target account list: fit and intent scoring models, tier assignment, and TAM segmentation.
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
abm-1-to-many
LeadMagic
Runs programmatic 1-to-many ABM for 50-200+ accounts: automated personalization, scaled outbound, intent-based targeting, and lookalike expansion.
SkillAFreshness: A★ 67Claude Code +9
Signals
- Stars
- 67
- Forks
- 18
- Open issues
- 0
- Last commit (this folder)
- Oct 1, 2026 (28 days ago)
- Last release
- Oct 1, 2026 (28 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.0
- License
- MIT
- Repository
- github.com/LeadMagic/gtm-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from LeadMagic
- 0.638score
a-b-testing
LeadMagic
Design statistically sound GTM experiments for copy, channels, landing pages, sequencing, pricing, and funnel conversion.
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
campaign-analytics
LeadMagic
Analyze campaign performance from deliverability through revenue: delivery, engagement, replies, meetings, SQOs, pipeline, CAC, and payback.
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
growth-experimentation
LeadMagic
Build a growth experimentation system — ICE scoring, growth sprints, experiment design, statistical significance, and learning repositories.
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
gtm-metrics
LeadMagic
Build a GTM metrics system for SaaS: funnel conversion, pipeline velocity, win rates, CAC, payback, NRR, sales efficiency, growth accounting, and executive…
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
gtm-system-architecture
LeadMagic
Design a complete GTM operating system — revenue model, data model, operating model, growth model, and GTM model per WbD's 6-model framework.
SkillAFreshness: A★ 67Claude Code +9 - 0.638score
abm-1-to-many
LeadMagic
Runs programmatic 1-to-many ABM for 50-200+ accounts: automated personalization, scaled outbound, intent-based targeting, and lookalike expansion.
SkillAFreshness: A★ 67Claude Code +9
Cite this page
clay-automation skill. Agent Mart. https://agentmart.dev/skills/leadmagic-clay-automation (last updated 2026-10-24)