getaero-io/gtm-eng-skills

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.

58Stars on the repository
18Mods indexed here, across every type
todayLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

build-tam

01

getaero-io/gtm-eng-skills

Skill Claude CodeCodex

Build a Total Addressable Market list by sourcing accounts and contacts from providers like Crustdata, Dropleads, and PDL.

not rated 58 +3 today A SkillSpector: pass 31 tokens original MIT

clay-to-deepline

02

getaero-io/gtm-eng-skills

Skill Claude CodeCodex

Convert a Clay table configuration into local Deepline scripts. Handles extraction (MCP or script), documentation, action mapping, script generation, and parity validation against Clay ground truth.

not rated 58 +3 today A SkillSpector: pass 42 tokens original MIT

getaero-io/gtm-eng-skills

Skill Claude CodeCodex

Use this skill when building, enriching, auditing, or uploading B2B paid ads audiences to Google Customer Match, Meta/Facebook Custom Audiences, or LinkedIn Matched Audiences. Triggers on phrases like '/deepline-ads-audience', '/deepline-ads-audiences', 'upload this audience', 'create custom audiences', 'personal…

not rated 58 +3 changed 7d ago A SkillSpector: warn 133 tokens original MIT

deepline-analytics

04

getaero-io/gtm-eng-skills

Skill Claude Code

Use this skill when answering business analytics, RevOps, GTM metric, pipeline, revenue, funnel, customer, or warehouse questions with Deepline. Triggers on phrases like 'query Snowflake', 'analyze pipeline', 'total ACV', 'break down by quarter', 'use the semantic layer', 'run a semantic query', or any use of…

not rated 58 +3 today A SkillSpector: warn 115 tokens original MIT

deepline-engine

05

getaero-io/gtm-eng-skills

Skill Claude CodeCodex

Build, publish, and verify a Deepline Play as a durable state machine over Customer DB tables, including a small paid pilot. Invoke this skill explicitly when the user asks to build an engine.

not rated 58 +3 today A SkillSpector: pass 43 tokens original MIT

deepline-feedback

06

getaero-io/gtm-eng-skills

Skill Claude Code

Send feedback or bug reports to the Deepline team. Use when the user asks to report feedback or share a session, and proactively when a Deepline Play is disproportionately slow, appears stuck, or an ordinary outcome requires avoidable product steps.

not rated 58 +3 changed 3d ago A SkillSpector: warn 52 tokens original MIT

deepline-gtm

07

getaero-io/gtm-eng-skills

Skill Claude CodeCodex

GTM prospecting, enrichment, outreach, and Deepline Play work/audits. Providers…

not rated 58 +3 changed today A SkillSpector: warn 333 tokens original MIT

deepline-monitors

08

getaero-io/gtm-eng-skills

Skill Claude CodeCodex

ACCESS-GATED beta. Deepline Monitors are provider event feeds (job posts, email replies, funding, intent) that stream into your warehouse and trigger plays. Only use if you have monitor access: run deepline monitors status first; if it reports no access, do NOT use this recipe — tell the user to contact the Deepline…

not rated 58 +3 today A SkillSpector: pass 77 tokens original MIT

getaero-io/gtm-eng-skills

Skill Codex

Use this skill when a human needs to review a Deepline Play result and hand feedback, labels, or approval back to the agent for revision, evaluation, comparison, or bounded iteration. Triggers on “put this run in a Sheet,” “review these results,” “read my feedback,” “make this a standing rule,” “never regress on this…

not rated 58 +3 today A SkillSpector: warn 121 tokens original MIT

deepline-plays

10

getaero-io/gtm-eng-skills

Skill Claude CodeCodex needs its repo

Use for Deepline GTM work that searches, enriches, scores, collects signals, or automates a workflow: find companies or people, enrich a CSV, find emails or LinkedIn, compare providers, build a waterfall, create a webhook or cron, or write a Play. For live information work, run a small heterogeneous experiment…

not rated 58 +3 changed 3d ago A SkillSpector: warn 92 tokens original MIT

getaero-io/gtm-eng-skills

Skill Claude CodeCodex

Use when the user wants a last30days-style pre-research pass in Deepline: discover the critical public, private, CRM, workflow, social, and web data sources for a research/enrichment job; compare provider coverage; estimate Deepline credit cost; recommend the source plan before building or running the workflow; or…

not rated 58 +3 today A SkillSpector: warn 135 tokens original MIT

deepline-quickstart

12

getaero-io/gtm-eng-skills

Skill Claude Code

Run a quick Deepline demo recipe to show the user how Deepline works.

not rated 58 +3 today A SkillSpector: pass 22 tokens original MIT

getaero-io/gtm-eng-skills

Skill Claude CodeCodex

Use when finding real role-holders at known company domains from an ICP, especially prompts like 'find all job titles at these companies', 'find qualified titles', 'find RevOps or marketing-ops buyers', or when exact title discovery should precede paid people search.

not rated 58 +3 today A SkillSpector: pass 59 tokens original MIT

linkedin-url-lookup

14

getaero-io/gtm-eng-skills

Skill Claude CodeCodex

Resolve LinkedIn profile URLs from name + company with strict identity validation to avoid false positives.

not rated 58 +3 today A SkillSpector: pass 23 tokens original MIT

getaero-io/gtm-eng-skills

Skill Claude Code

Discover niche first-party signals that differentiate Closed Won vs Closed Lost accounts for ICP analysis. Use when the user provides won/lost customer domain lists and wants differential signals (website content, job listings, tech stack, maturity markers) to build account scoring models and prospecting criteria.…

not rated 58 +3 today A SkillSpector: pass 135 tokens original MIT

getaero-io/gtm-eng-skills

Skill Claude CodeCodex

Find companies backed by a specific investor or accelerator, then find contacts and build personalized outbound.

not rated 58 +3 today A SkillSpector: pass 23 tokens original MIT

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