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Find companies backed by a specific investor or accelerator, then find contacts and build personalized outbound.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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.
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.
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.
| name | portfolio-prospecting |
| description | Find companies backed by a specific investor or accelerator, then find contacts and build personalized outbound. |
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 portfolio-prospecting recipe but the deepline-gtm governs the entire session.
deepline-gtm using the Skill tool.../deepline-gtm/recipes/portfolio-prospecting.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.