القائمة
Build a Total Addressable Market list by sourcing accounts and contacts from providers like Crustdata, Dropleads, and PDL.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Use for GTM prospecting, enrichment, qualification, account/contact research, waterfalls, email/LinkedIn lookup, personalization, scoring, campaigns, CSVs, and Deepline plays/scripts. Source discovery: deepline-pre-research. Providers: adyntel, ai_ark, allegrow, apify, attio, aviato, bettercontact, bloomberry, bluesky, browserbase, builtwith, cloudflare, contactout, crustdata, crustdata-v2, crustdata-v3, customer_db, dataforseo, datagma, deepline_native, deeplineagent, discolike, dropleads, emailbison, enformion, exa, findymail, firecrawl, forager, fullenrich, generic_http, google_ads_audiences, hackernews, heyreach, hubspot, hunter, icypeas, instantly, ipqs, leadmagic, lemlist, limadata, linkedin_ads_audiences, linkedin_scraper, lusha, meta_audiences, openmart, opensosdata, openwebninja, parallel, peopledatalabs, podscan, predictleads, prospeo, rocketreach, salesforce, scrapecreators, sentrion, serper, slack, smartlead, snowflake, sumble, theirstack, trestle, twitterapi, upcell, wiza, wizleads, zerobounce.
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 email hashes', 'increase Facebook match rate', 'Google ads audience', 'Meta audience', 'FB audience', or any workflow that turns CRM/customer/contact data into paid ads upload lists. Skip for outbound prospecting sequences, cold email, or pure campaign copywriting.
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 build custom language/messaging from buyer, competitor, community, and CRM evidence. Triggers: pre-research, source discovery, provider strategy, research data sources, ScrapeCreators, X/Twitter data, Reddit comments, public and private datasets, CRM data, workflow data, custom language, messaging language, pain language.
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.
ACCESS-GATED beta. Deepline Monitors (dashboard name: Signal Radars) — 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 — every command returns monitor_access_required. Ask a Deepline admin (Admin → Rollouts) for access.
Create custom Deepline plays/scripts that combine multiple tools and/or other plays, with durable datasets, fallback logic, joins, projections, and custom run/export behavior.
| name | build-tam |
| description | Build a Total Addressable Market list by sourcing accounts and contacts from providers like Crustdata, Dropleads, and PDL. |
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.
deepline-gtm using the Skill tool.../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.