Agent skill

Clay Enrichment 9step

A skill your agent uses when building enrichment workflows, setting up Clay tables, or maximizing data quality — the complete 9-step Clay enrichment workflow for 90%+ data coverage plus 58 Clay…

MITAuto-check passedData & Analytics

Install Clay Enrichment 9step

skills CLI

$ npx skills add swan-gtm/gtm-skills --skill clay-enrichment-9step -a claude-code

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

GitHub CLI

$ gh skill install swan-gtm/gtm-skills clay-enrichment-9step --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/swan-gtm/gtm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/alex-vacca/clay-enrichment-9step .claude/skills/clay-enrichment-9step && 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/

Paste into Claude Code

Install the "clay-enrichment-9step" agent skill from https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/clay-enrichment-9step into .claude/skills/clay-enrichment-9step/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clay-enrichment-9step", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/clay-enrichment-9step

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add swan-gtm/gtm-skills --skill clay-enrichment-9step -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install swan-gtm/gtm-skills clay-enrichment-9step --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/alex-vacca/clay-enrichment-9step .agents/skills/clay-enrichment-9step && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "clay-enrichment-9step" agent skill from https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/clay-enrichment-9step into .agents/skills/clay-enrichment-9step/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clay-enrichment-9step", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add swan-gtm/gtm-skills --skill clay-enrichment-9step -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install swan-gtm/gtm-skills clay-enrichment-9step --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/alex-vacca/clay-enrichment-9step .cursor/skills/clay-enrichment-9step && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "clay-enrichment-9step" agent skill from https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/clay-enrichment-9step into .cursor/skills/clay-enrichment-9step/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clay-enrichment-9step", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/swan-gtm/gtm-skills.git --path skills/alex-vacca/clay-enrichment-9step

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add swan-gtm/gtm-skills --skill clay-enrichment-9step -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install swan-gtm/gtm-skills clay-enrichment-9step --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/alex-vacca/clay-enrichment-9step .gemini/skills/clay-enrichment-9step && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "clay-enrichment-9step" agent skill from https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/clay-enrichment-9step into .gemini/skills/clay-enrichment-9step/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clay-enrichment-9step", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install swan-gtm/gtm-skills clay-enrichment-9step

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add swan-gtm/gtm-skills --skill clay-enrichment-9step -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/alex-vacca/clay-enrichment-9step .github/skills/clay-enrichment-9step && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "clay-enrichment-9step" agent skill from https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/clay-enrichment-9step into .github/skills/clay-enrichment-9step/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clay-enrichment-9step", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add swan-gtm/gtm-skills --skill clay-enrichment-9step -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install swan-gtm/gtm-skills clay-enrichment-9step --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/alex-vacca/clay-enrichment-9step .opencode/skills/clay-enrichment-9step && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "clay-enrichment-9step" agent skill from https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/clay-enrichment-9step into .opencode/skills/clay-enrichment-9step/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clay-enrichment-9step", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: clay-enrichment-9step
GitHub stars: 172
Token cost: ~572 tokens
SKILL.md length: 199 words
Files: 2 (incl. references)
Skills in repo: 32
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when building enrichment workflows, setting up Clay tables, or maximizing data quality — the complete 9-step Clay enrichment workflow for 90%+ data coverage plus 58 Clay…

Works in 2 steps: Email Waterfall (The Money Step) → Scoring & Segmentation
Building enrichment workflows
SKILL.md covers Quick Reference, Step 4: Email Waterfall (The…, Step 8: Scoring & Segmentation and Pro Tips, plus 2 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Clay Enrichment 9step is an agent skill from swan-gtm/gtm-skills. Use this skill when building enrichment workflows, setting up Clay tables, or maximizing data quality — the complete 9-step Clay enrichment workflow for 90%+ data coverage plus 58 Clay templates across 8 categories.

Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/templates.md`).

It sits in Data & Analytics, covering Data cleaning. The repository describes itself as: Open, production-grade GTM skills for AI agents. The licence is MIT.

When your agent uses it

Building enrichment workflows
Setting up Clay tables
Maximizing data quality — the complete 9-step Clay enrichment workflow for 90%+ data coverage plus 58 Clay templates across 8 categories

Example prompts

“/clay-enrichment-9step”

Workflow steps

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

Email Waterfall (The Money Step)
Scoring & Segmentation

What it can do on your machine

Read from SKILL.md and the folder at commit 67abd04. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- frontal.so
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Clay Enrichment 9step loads about 572 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 199 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~59
When it runs · the whole SKILL.md, loaded when a task matches: ~572
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~1.7k

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 passed

The automated check found no risky patterns in SKILL.md.

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 swan-gtm/gtm-skills at commit 67abd04, republished under its MIT licence (© swan-gtm). 199 words, ~572 tokens.

Download SKILL.mdSave it as .claude/skills/clay-enrichment-9step/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: clay-enrichment-9step
description: Use this skill when building enrichment workflows, setting up Clay tables, or maximizing data quality — the complete 9-step Clay enrichment workflow for 90%+ data coverage plus 58 Clay templates across 8 categories.
title: Clay enrichment workflow
category: Prospecting

Clay 9-Step Enrichment Workflow (90%+ Coverage)

For detailed templates, see references/templates.md.

Quick Reference

Step	Action	Tools
1	Upload & Clean	CSV import
2	Company Enrichment	Apollo, Ocean.io, LinkedIn
3	People Enrichment	Sales Navigator, Apollo
4	Email Waterfall	Apollo, Prospeo, LeadMagic, Findymail
5	Email Verification	MillionVerifier
6	Phone Numbers	LeadMagic, BetterContact
7	Custom Data	Claygent
8	Scoring	Lead scoring (100 pts)
9	Export	Instantly, LemList, CRM

Step 4: Email Waterfall (The Money Step)

Single finder = 40% coverage Waterfall = 85%+ coverage

Sequence: Apollo → Prospeo → LeadMagic → Findymail → Clay patterns

Step 8: Scoring & Segmentation

Lead Score (100 points):

Company size match: 25 pts
Recent signals: 25 pts
Email deliverability: 25 pts
ICP fit: 25 pts

Tiers:

Tier 1 (80-100): Immediate outreach
Tier 2 (60-79): Nurture sequence
Tier 3 (<60): Long-term nurture

Pro Tips

Run in batches of 250 (optimizes Clay credits)
Test with 50 records first before full run
Timeline: 1,000 prospects = 2-3 hours vs 40+ hours manual

Combines with

Skill	Why
`clay-buying-signals-5`	Add signal detection to workflow
`lead-sources-guide`	Know where to source initial data
`ai-personalization-prompts`	Use Claygent for AI personalization
`buying-signals-6`	Understand which signals to track

Example prompts

Set up a Clay workflow for job change signals with email waterfall.

How do I configure Step 4 (Email Waterfall) to maximize coverage?

Create a scoring model for SaaS companies targeting enterprise accounts.

Part of Frontal — free, open GTM skills for your AI agent. Browse the library →

Files

SKILL.md and 1 other file (references) in skills/alex-vacca/clay-enrichment-9step of swan-gtm/gtm-skills.

SKILL.md
references/templates.md

Open the folder on GitHubat commit 67abd04

Compare with similar skills

Clay Enrichment 9step 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.

Clay Enrichment 9step compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Clay Enrichment 9step this skillswan-gtm/gtm-skills	172	—	~572	Automated safety check: Pass	MIT	3 days ago
Question2reportrefraction-ray/xalpha	2.7k	—	~3.2k	Automated safety check: Pass	MIT	2 mo ago
Dingo VerifyMigoXLab/dingo	757	—	~741	Automated safety check: Notes	Apache-2.0	2 days ago
Data Validationplatonai/Browser4	1.2k	—	~896	Automated safety check: Pass	Apache-2.0	yesterday
Pandas ProJeffallan/claude-skills	12k	1 repos	~1.5k	Automated safety check: Pass	MIT	7 days ago
Issues DeduplicationJetBrains/ideavim	10k	—	~1.3k	Automated safety check: Pass	MIT	today

Similar skills

Question2report
refraction-ray/xalpha
Turn a natural-language financial question into a polished, self-contained HTML report.
2.7k GitHub stars~3.2k tokensUpdated 2 mo ago
Data & AnalyticsAuto-check passed
Dingo Verify
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
757 GitHub stars~741 tokensUpdated 2 days ago
Data & AnalyticsAuto-check: notes
Data Validation
platonai/Browser4
Validates data against common and custom rules (required fields, formats, ranges).
1.2k GitHub stars~896 tokensUpdated yesterday
Data & AnalyticsAuto-check passed
Pandas Pro
Jeffallan/claude-skills
Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.
12k GitHub starsUsed in 1 repo~1.5k tokens
Data & AnalyticsAuto-check passed
Issues Deduplication
JetBrains/ideavim
Official
Handles deduplication of YouTrack issues. An agent skill from JetBrains/ideavim.
10k GitHub stars~1.3k tokensUpdated today
Data & AnalyticsAuto-check passed
Openbb Data Fetcher
monarchjuno/vibe-investing
Fetch financial, market, economic, fundamental, news, options, crypto, ETF, index, and macro data through the OpenBB Python interface instead of the OpenBB MCP server.
299 GitHub stars~2.9k tokensUpdated 5 mo ago
Data & AnalyticsAuto-check: notes

More from swan-gtm/gtm-skills

All 32 skills in this repo

Revops Revenue Planning
swan-gtm/gtm-skills
Annual and quarterly revenue plan construction, top-down vs bottoms-up reconciliation, plan versioning, stretch goal handling, and FP&A-RevOps collaboration for B2B revenue teams.
172 GitHub stars~7.2k tokensUpdated 3 days ago
Auto-check passed
AI Personalization Prompts
swan-gtm/gtm-skills
A skill your agent uses when setting up AI-powered personalization, building Clay or lemlist workflows, or automating prospect research — 6 AI personalization prompts (lemlist style) plus 2 email…
172 GitHub stars~653 tokensUpdated 3 days ago
Auto-check passed
Audience Icp Filter
swan-gtm/gtm-skills
A skill your agent uses when a list of people already exists and someone needs to know who on it is worth contacting — event or webinar attendees, registrants, a prospecting export, a CRM segment, a…
172 GitHub stars~1.9k tokensUpdated 3 days ago
Auto-check passed
Brand Mention Monitor
swan-gtm/gtm-skills
A skill your agent uses when you need to know what people are saying about a brand across the web and social — "monitor brand mentions", "what are people saying about [brand] this week", "run a…
172 GitHub stars~2.1k tokensUpdated 3 days ago
Auto-check passed
Bridge Before Cold
swan-gtm/gtm-skills
Use this skill before staging a prospect and before drafting any first touch, when a segment has gone silent, and when deciding whether an account is genuinely cold.
172 GitHub stars~1.4k tokensUpdated 3 days ago
Auto-check passed
Champion Move Detection
swan-gtm/gtm-skills
Use this skill on a monthly cadence to detect champions and heavy users of your paying customers who changed jobs, verify the move against live LinkedIn data, score the new company, and surface…
172 GitHub stars~5k tokensUpdated 3 days ago
Auto-check passed

Questions about Clay Enrichment 9step

What does Clay Enrichment 9step do?

A skill your agent uses when building enrichment workflows, setting up Clay tables, or maximizing data quality — the complete 9-step Clay enrichment workflow for 90%+ data coverage plus 58 Clay…. Clay Enrichment 9step is an agent skill from swan-gtm/gtm-skills. Use this skill when building enrichment workflows, setting up Clay tables, or maximizing data quality — the complete 9-step Clay enrichment workflow for 90%+ data coverage plus 58 Clay templates across 8 categories.

When should I use Clay Enrichment 9step?

Clay Enrichment 9step fits situations like: building enrichment workflows; setting up Clay tables; maximizing data quality — the complete 9-step Clay enrichment workflow for 90%+ data coverage plus 58 Clay templates across 8 categories.

How do I install Clay Enrichment 9step in Claude Code?

Run `npx skills add swan-gtm/gtm-skills --skill clay-enrichment-9step -a claude-code`. Or copy the skill folder (skills/alex-vacca/clay-enrichment-9step in swan-gtm/gtm-skills) into .claude/skills/clay-enrichment-9step in your project. Claude Code loads it when a task matches its description.

How do I install Clay Enrichment 9step in Codex?

Run `npx skills add swan-gtm/gtm-skills --skill clay-enrichment-9step -a codex`. Or copy the skill folder (skills/alex-vacca/clay-enrichment-9step in swan-gtm/gtm-skills) into .agents/skills/clay-enrichment-9step in your project. Codex loads it when a task matches its description.

Can I use Clay Enrichment 9step 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 swan-gtm/gtm-skills --skill clay-enrichment-9step -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clay-enrichment-9step, .gemini/skills/clay-enrichment-9step, .github/skills/clay-enrichment-9step and .opencode/skills/clay-enrichment-9step in your project.

What does Clay Enrichment 9step need to run?

SKILL.md names no scripts, command-line tools or credentials: Clay Enrichment 9step is instructions for the agent only.

Does Clay Enrichment 9step access the network?

SKILL.md names 1 domain. As links in the text: frontal.so. This is read from the text; nothing was executed.

Is Clay Enrichment 9step safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Clay Enrichment 9step use?

Clay Enrichment 9step 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 Clay Enrichment 9step use?

About 572 tokens (SKILL.md is roughly 2.3k 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 1.1k tokens, read only when the agent opens those files.

What are the alternatives to Clay Enrichment 9step?

Skills that share tags, products or a category with Clay Enrichment 9step: Question2report (refraction-ray/xalpha, 2.7k stars), Dingo Verify (MigoXLab/dingo, 757 stars), Data Validation (platonai/Browser4, 1.2k stars) and Pandas Pro (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Clay Enrichment 9step?

swan-gtm (a GitHub organization) maintains it in swan-gtm/gtm-skills, which has 172 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on October 8, 2026.

Source: swan-gtm/gtm-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Clay Enrichment 9step

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Clay 9-Step Enrichment Workflow (90%+ Coverage)

Quick Reference

Step 4: Email Waterfall (The Money Step)

Step 8: Scoring & Segmentation

Pro Tips

Combines with

Example prompts

Files

Compare with similar skills

Similar skills

More from swan-gtm/gtm-skills

Related

Questions about Clay Enrichment 9step