Build tam
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.
npx -y skills add getaero-io/gtm-eng-skills --skill build-tamAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Build a Total Addressable Market list by sourcing accounts and contacts from providers like Crustdata, Dropleads, and PDL.
SKILL.md
1.3 KB, as published. Nobody here has run it
Provider-Led Account And Contact Sourcing
Quick Start
npm install -g deepline
# Fallback for secure sandboxes: mkdir -p "$HOME/.local" && npm config set prefix "$HOME/.local" && export PATH="$HOME/.local/bin:$PATH" && npm install -g deepline --registry https://code.deepline.com/api/v2/npm/
deepline auth register --wait auto
deepline auth wait --timeout 120 # completes Cowork/browser approval; no-op if already connected
deepline auth status
deepline -h
This is a recipe shortcut. It pre-selects the build-tam recipe but the deepline-gtm governs the entire session.
Execution order
- Invoke
deepline-gtmusing the Skill tool. - Follow the meta-skill's full routing instructions - analyze the user's complete prompt and load every sub-doc the meta-skill tells you to. Do not skip docs just because a recipe is pre-selected.
- Follow the meta-skill's routing gate for this recipe. Read the build-tam recipe at
../deepline-gtm/recipes/build-tam.md(relative to this file) only when that gate routes you to it. Conditional access and safety checks still apply.
The recipe only covers one part of the task. The meta-skill handles everything else the user asked for.