gtm-eng-skills

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 snowflake_get_semantic_layer / snowflake_run_semantic_query. Skip prospecting, enrichment, contact finding, outbound, or personalization workflows; use deepline-gtm for those.

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. Triggers: ICP analysis, niche signals, won vs lost analysis, differential signals, signal discovery, ICP signal report, account scoring signals, lead scoring, first-party signals, buyer signals. Before reading this file, first read deepline-gtm to understand the Deepline CLI tool and how to use it. Then read this file for guidance on the task.

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

Send feedback or bug reports to the Deepline team, including session transcript and environment info. Use when the user asks to report a bug, send product feedback, or share the current Claude/Cowork session with Deepline support.

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

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.

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

GTM prospecting, enrichment, outreach, scoring, CSVs, and plays. Discovery: deepline-pre-research. Providers: adyntel,ai_ark,allegrow,apify,attention,attio,aviato,bettercontact,bloomberry,bluesky,bounceban,browserbase,builtwith,cloudflare,contactout,crustdata,crustdata-v2,crustdata-v3,customer_db,dataforseo,datagma,deepline_ip_to_company,deepline_native,deeplineagent,discolike,dropleads,emailbison,emailguard,enformion,exa,findymail,firecrawl,firmable,forager,fullenrich,generic_http,gong,google_ads_audiences,google_workspace,hackernews,heyreach,hubspot,hunter,icypeas,instantly,intercom,ipqs,kernel,leadmagic,lemlist,limadata,linkedin_ads_audiences,linkedin_scraper,lusha,meta_audiences,nooks,openmart,opensosdata,openwebninja,outreach,parallel,peopledatalabs,podscan,predictleads,prospeo,rocketreach,salesforce,salesforge,scrapecreators,sentrion,serper,slack,smartlead,snowflake,sumble,theirstack,trestle,twitterapi,upcell,wiza,wizleads,zerobounce.

Use this skill for any GTM Engineering work in Deepline — prospecting, list-building, account research, contact enrichment, email/phone/LinkedIn lookup, ICP qualification, lead scoring, outreach copy, CSV-driven row work, and verifying enriched data. Triggers on phrases like 'enrich this CSV', 'find contacts at these companies', 'build a TAM list', 'waterfall emails for these leads', 'detect job changes', 'is this data accurate', 'write a sequence for', and on any request that mentions Deepline, plays, or named GTM providers (Crustdata, Hunter, Dropleads, etc.). Use this even when the user does not explicitly say 'GTM' — most CSV-with-leads tasks and most provider-driven enrichment tasks are GTM tasks. SKIP only when the request is a Clay table extraction (use clay-to-deepline) or has no Deepline / outbound / data-enrichment dimension at all.

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

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.