Gtm Eng Skills MCP Server

GTM Engineering Skills for Claude Code

AI agent skills that turn Claude Code into a GTM engineering workstation — lead enrichment, signal discovery, TAM building, and outbound automation. Powered by Deepline.

Quick Start

From Claude Code / Codex

Paste this prompt:

Install the Deepline CLI and skills using https://code.deepline.com/agent-install.txt

From the command line

curl -fsSL "https://code.deepline.com/api/v2/cli/install" | bash

Then tell Claude what you need:

> "Build a TAM of VP Sales at 50-500 person SaaS companies in the US"
> "Find LinkedIn URLs for the contacts in my CSV with identity validation"
> "Find companies in a16z's portfolio and get the Head of Growth at each"

Claude automatically picks the right skill and runs it.

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What This Repo Does

These skills give Claude Code the ability to run real GTM workflows — not toy demos, but the same enrichment pipelines that GTM engineers build manually with Apollo, Hunter, PDL, and dozens of other providers.

Each skill is a markdown file (SKILL.md) that encodes:

• Which providers to call and in what order (waterfall sequences)
• How to validate results (email verification, identity matching)
• Cost optimization patterns (cheapest provider first, approval gates before expensive runs)
• Output formats (enriched CSVs, CRM updates, campaign imports)

Skills use the Deepline CLI under the hood — one command that orchestrates 40+ data providers (Apollo, Crustdata, PDL, Hunter, LeadMagic, Dropleads, Apify, and more) with cost-aware routing and waterfall fallbacks.

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Skills

Skill	Description	Use Case
deepline-gtm	Meta-skill that routes GTM prospecting, enrichment, qualification, and outbound workflows across 40+ providers	Any CSV-heavy or provider-driven GTM task
deepline-quickstart	Run a quick Deepline demo recipe to show how Deepline works	First-time setup, walkthroughs
build-tam	Build a Total Addressable Market list by sourcing accounts and contacts from providers like Apollo, Crustdata, and PDL	Account sourcing from ICP filters
portfolio-prospecting	Find companies backed by a specific investor or accelerator, then find contacts and build personalized outbound	VC portfolio prospecting, accelerator outbound
linkedin-url-lookup	Resolve LinkedIn profile URLs from name + company with strict identity validation to avoid false positives	LinkedIn enrichment with false-positive prevention
niche-signal-discovery	Discover niche first-party signals that differentiate Closed Won vs Closed Lost accounts for ICP analysis	ICP analysis, account scoring, signal-based prospecting
clay-to-deepline	Convert a Clay table configuration into local Deepline scripts (extraction, action mapping, script generation, parity validation)	Migrating from Clay to code-based enrichment
workflow-hello-world	Create a cloud Deepline workflow that runs on a recurring cron schedule or via webhook	Workflow scaffolding and trigger validation
Warm-intro recipe	Rank cited introduction paths; produce linked reviews and private Google Sheets	Connector selection, evidence, tunable scores and ask review
deepline-feedback	Send feedback or bug reports to the Deepline team, including session transcript and environment info	Bug reports, feature requests

gtm-meta-skill is also published as a deprecated stub that redirects to deepline-gtm. Use deepline-gtm directly.

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Workflows

Reference Deepline cloud workflows you can deploy with deepline workflows apply. Each is a JSON apply-payload with placeholders for IDs, channels, and secrets.

Workflow	Use case
inbound-qualification-cpg	CPG / DTC brand signups: detect retail-presence via Storepoint/Stockist/Closeby/Storerocket/Storemapper/Bullseye/Brandify locator widgets, classify CPG vs non-CPG, route to qualified/manual-review/partner-referral, draft rep brief + outbound email + LinkedIn DM
inbound-qualification-saas	SaaS / GTM-tool signups (HubSpot webhook): enrich, classify enterprise vs agency, route to two HubSpot lists that trigger different sequences
slack-button-listener	Listens for Approve & Send / Edit / Skip button clicks on Slack briefs and acknowledges in-thread. Pair with either inbound-qualification workflow above.

See workflows/README.md for deployment instructions.

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How It Works

You: "Find emails for the contacts in accounts.csv"
       │
       ▼
Claude Code picks the `deepline-gtm` skill and routes to the
right recipe + provider playbook for the task.
       │
       ▼
Skill runs the appropriate `deepline` CLI commands with the
provider waterfall, validation rules, and cost gates encoded
in the skill's instructions.
       │
       ▼
You get: enriched CSV with verified results + provider metadata

Every enrichment opens in the Deepline Playground — a spreadsheet UI where you can inspect results, re-run failed cells, and iterate before committing to a full run.

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Installation

Option 1: Skills CLI (recommended)

npx skills add getaero-io/gtm-eng-skills --all

Install specific skills only:

npx skills add getaero-io/gtm-eng-skills --skill deepline-gtm build-tam linkedin-url-lookup

Install globally (available across all projects):

npx skills add getaero-io/gtm-eng-skills --all --global

Option 2: Git clone

git clone https://github.com/getaero-io/gtm-eng-skills.git ~/.claude/skills/gtm-eng-skills

Option 3: Git submodule (for teams)

cd your-project
git submodule add https://github.com/getaero-io/gtm-eng-skills.git .claude/skills/gtm-eng-skills

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Prerequisites

You need a Deepline account. The Deepline CLI powers all enrichment commands in these skills.

npm install -g @deepline/cli
deepline auth login

Free tier includes 100 credits (~300 enrichments). Sign up here.

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Usage Examples

Build a TAM

"Build a TAM of VP Sales and CROs at 50-500 person SaaS companies in the US"

Claude runs build-tam, sourcing accounts from Apollo, Crustdata, and PDL, deduplicating, and outputting a list with contact details.

LinkedIn URL Lookup with Identity Validation

"Find LinkedIn URLs for the contacts in my CSV and verify they're the right people"

Claude runs linkedin-url-lookup, resolving profile URLs from name + company with strict name validation to avoid false positives.

Signal-Based Prospecting

"What signals differentiate our closed-won deals from closed-lost?"

Claude runs niche-signal-discovery, analyzing website content, job listings, tech stack, and maturity markers across your won/lost lists to build a scoring model.

Portfolio Prospecting

"Find all companies in a16z's latest fund and get me the Head of Growth at each"

Claude runs portfolio-prospecting, sourcing portfolio companies, finding decision-makers, and drafting personalized outreach.

Clay Migration

"I have this Clay table export — convert it to a Deepline enrichment script"

Claude runs clay-to-deepline, analyzing the schema, mapping Clay columns to Deepline providers, and generating a runnable script.

Cloud Workflow Setup

"Create a Deepline workflow that runs every Monday and enriches my new HubSpot contacts"

Claude runs workflow-hello-world to scaffold the cron-triggered workflow and validate it end to end.

General GTM Tasks

"Enrich the leads in this CSV, score them against my ICP, and queue the top 50 in Lemlist"

Claude invokes deepline-gtm (the meta-skill), which loads the relevant recipes and provider playbooks for the multi-step workflow.

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Why Deepline

These skills use the Deepline CLI instead of calling provider APIs directly. Here's why:

Without Deepline	With Deepline
Manage 40+ API keys and auth methods	One CLI, one credential
Build your own waterfall logic	Built-in waterfall with cost-aware routing
Pay per-provider subscriptions	Pay per enrichment, provider-agnostic
Handle rate limits, retries, normalization	Handled automatically
No visibility into provider performance	Tracks hit rates per provider for your ICP

Integrated providers: Apollo, Crustdata, PDL, Hunter, LeadMagic, Dropleads, Apify, Exa, Firecrawl, HubSpot, Attio, Instantly, Lemlist, HeyReach, Smartlead, ZeroBounce, Prospeo, Icypeas, and more.

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Compatibility

These skills work with any AI coding agent that supports the SKILL.md format:

• Claude Code (primary)
• Cursor
• Codex CLI
• Gemini CLI
• Antigravity

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Documentation

• Full CLI reference: code.deepline.com/docs
• AI-readable docs: llms.txt
• Waterfall patterns: code.deepline.com/docs/waterfalls
• GTM plays & recipes: code.deepline.com/docs/plays

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Draft skills (experimental)

Drafts only. The drafts/ folder holds experimental GTM skills and templates (Luma campaigns, HubSpot follow emails, event ops, host-prep dossiers, Luma webhook enrich).

These are not installed or overwritten by deepline skills / the Deepline CLI skill sync. Treat them as starting points; promote into skills/ or workflows/ only after review.

Samples use fictional placeholders only — no customer or sensitive operational data.

See drafts/README.md for the full list and usage instructions.

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Contributing

PRs welcome. Each skill lives in skills/<name>/SKILL.md. See CONTRIBUTING.md for guidelines.

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License

MIT

Engineering handoffs

Warm-intro scoring is a self-contained scoring, data-quality and evaluation package outside the refreshable skills directory. Run python3 engineering/warm-intro-scoring/plays/check_all.py with Python 3.10+ and Bun; no credentials or network access are needed. This permanent recipe includes batch collection guidance, employee expansion, linked names and tags, Google Sheets output, and scoring parity checks. It is not a draft or a separately installed skill.