Clay Enrichment 9step

Q: Why use Clay Enrichment 9step on TypingMind?

Because you install it once and use it with any model. Clay Enrichment 9step is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

Q: How do I install Clay Enrichment 9step in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/clay-enrichment-9step. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use Clay Enrichment 9step?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

Q: How many AI models can I use with Clay Enrichment 9step?

As many as you like. As long as a model supports skills, you can use Clay Enrichment 9step with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Q: Is the Clay Enrichment 9step AI skill free?

Yes. It is published on GitHub by swan-gtm under the MIT license. You only pay your own AI provider for the tokens you use.

Q: What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

Q: How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Organization

swan-gtm

clay-enrichment-9step

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.

Overview

Publisher	swan-gtm
Repository	`gtm-skills`
Skill name	`clay-enrichment-9step`
Stars	216
Forks	103
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by swan-gtm on GitHub. Read the source before you install it.

Installation

Install the Clay Enrichment 9step AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/clay-enrichment-9step
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

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

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git /tmp/gtm-skills
mkdir -p .claude/skills
cp -r /tmp/gtm-skills/skills/alex-vacca/clay-enrichment-9step .claude/skills/clay-enrichment-9step

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clay Enrichment 9step in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Clay Enrichment 9step on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Clay Enrichment 9step is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 →

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/templates.md4 KB

Frequently asked questions

What does the Clay Enrichment 9step AI skill do?

Why use Clay Enrichment 9step on TypingMind?

Because you install it once and use it with any model. Clay Enrichment 9step is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Clay Enrichment 9step in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/clay-enrichment-9step. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Clay Enrichment 9step?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Clay Enrichment 9step?

As many as you like. As long as a model supports skills, you can use Clay Enrichment 9step with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Clay Enrichment 9step AI skill free?

Yes. It is published on GitHub by swan-gtm under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

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

Bundled files

Frequently asked questions

Related AI Skills

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