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Gtm Eng Skills

mcp-getaero-io-gtm-eng-skills · by getaero-io

10 AI agent skills for Claude Code — waterfall email enrichment, TAM building, signal discovery, job change detection, and outbound automation. Powered by Deepline CLI with 28+ GTM data providers.

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Install

$ agentstack add mcp-getaero-io-gtm-eng-skills

Open-source listing — not yet scanned by AgentStack. Follow the source repository for install instructions.

Security review

⚠ Flagged

1 finding(s); flagged for manual review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures
  • high Pipes remote content directly into a shell (remote code execution).

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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.

[](LICENSE) [](https://docs.anthropic.com/en/docs/claude-code) [](https://code.deepline.com)

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.


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.


Skills

| Skill | Description | Use Case | |---|---|---| | [deepline-gtm](skills/deepline-gtm/SKILL.md) | Meta-skill that routes GTM prospecting, enrichment, qualification, and outbound workflows across 40+ providers | Any CSV-heavy or provider-driven GTM task | | [deepline-quickstart](skills/deepline-quickstart/SKILL.md) | Run a quick Deepline demo recipe to show how Deepline works | First-time setup, walkthroughs | | [build-tam](skills/build-tam/SKILL.md) | 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](skills/portfolio-prospecting/SKILL.md) | Find companies backed by a specific investor or accelerator, then find contacts and build personalized outbound | VC portfolio prospecting, accelerator outbound | | [linkedin-url-lookup](skills/linkedin-url-lookup/SKILL.md) | Resolve LinkedIn profile URLs from name + company with strict identity validation to avoid false positives | LinkedIn enrichment with false-positive prevention | | [niche-signal-discovery](skills/niche-signal-discovery/SKILL.md) | 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](skills/clay-to-deepline/SKILL.md) | 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](skills/workflow-hello-world/SKILL.md) | Create a cloud Deepline workflow that runs on a recurring cron schedule or via webhook | Workflow scaffolding and trigger validation | | [deepline-feedback](skills/deepline-feedback/SKILL.md) | 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.


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](workflows/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](workflows/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](workflows/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](workflows/README.md) for deployment instructions.


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.


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

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.


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.


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.


Compatibility

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

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

Documentation


Contributing

PRs welcome. Each skill lives in skills//SKILL.md. See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.


License

MIT

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.