What is the primary function of the GTM Meta Skill?

It acts as a routing layer that orchestrates complex Go-To-Market tasks like prospecting, contact discovery, and lead enrichment using standardized playbooks.

Does this skill help with email personalization?

Absolutely. It includes specific sub-docs for research-driven writing and multi-pass pipelines to generate outreach based on live company signals and mission statements.

Can I use this for large lead lists?

Yes. It is specifically designed to handle large CSV files via the Deepline CLI, avoiding the common mistake of reading massive datasets directly into the LLM context window.

How does it handle multiple data providers?

The skill uses 'waterfall patterns' to check multiple providers (like Apollo, Hunter, or LeadMagic) sequentially or in parallel to ensure the highest data coverage and accuracy.

GTM & Outbound Automation

Name: GTM & Outbound Automation
Author: getaero-io

bygetaero-io

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Automatización de Marketing

Automates full-funnel GTM workflows including prospecting, waterfall enrichment, and lead scoring via the Deepline CLI and 28+ data providers.

The GTM Meta Skill serves as a sophisticated routing and orchestration layer for Go-To-Market operations within Claude Code. It enables users to move from an Ideal Customer Profile (ICP) to a fully enriched, verified list of prospects by coordinating complex search and enrichment tasks. By leveraging the Deepline CLI, it handles high-volume CSV processing without exhausting context windows, utilizing specific playbooks for waterfall enrichment, company research, and personalized outreach across providers like Apollo, Hunter, and HubSpot.

Características Principales

01Scalable CSV processing via Deepline CLI integration

02Multi-provider waterfall enrichment across 28+ GTM data sources

03Signal-driven company discovery and account-based prospecting

04Automated lead scoring and personalization based on company signals

055 GitHub stars

06Real-time execution monitoring through Session UI planning

Casos de Uso

01Building a targeted Total Addressable Market (TAM) list from specific ICP criteria

02Generating personalized outreach sequences based on hiring signals or tech stack

03Enriching a list of domains with verified contact emails and LinkedIn profiles

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add getaero-io/gtm-eng-skills gtm-meta-skill

For use in Claude.ai and ChatGPT

Características Principales

01Scalable CSV processing via Deepline CLI integration

02Multi-provider waterfall enrichment across 28+ GTM data sources

03Signal-driven company discovery and account-based prospecting

04Automated lead scoring and personalization based on company signals

055 GitHub stars

06Real-time execution monitoring through Session UI planning

Casos de Uso

01Building a targeted Total Addressable Market (TAM) list from specific ICP criteria

02Generating personalized outreach sequences based on hiring signals or tech stack

03Enriching a list of domains with verified contact emails and LinkedIn profiles

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add getaero-io/gtm-eng-skills gtm-meta-skill

For use in Claude.ai and ChatGPT