AI Agent Workflow Collection

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

Use 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 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 snowflakegetsemanticlayer / snowflakerunsemanticquery. Skip prospecting, enrichment, contact finding, outbound, or personalization workflows; use deepline-gtm for those.

Send feedback or bug reports to the Deepline team, including session transcript and environment info.

Use this skill for GTM prospecting, enrichment, qualification, and outbound workflows, especially when users mention Deepline, CSV processing, lead/account/contact research, waterfall enrichment, email or LinkedIn lookup, personalization, scoring, or campaign activation. Route CSV-heavy and provider-driven requests through this skill, then rely on linked sub-docs and provider playbooks for execution details. Available providers: adyntel, aiark, apify, apollo, attio, bettercontact, bloomberry, builtwith, cloudflare, contactout, crustdata, customerdb, dataforseo, datagma, deeplinenative, deeplineagent, discolike, dropleads, exa, findymail, firecrawl, forager, fullenrich, generichttp, heyreach, hubspot, hunter, icypeas, instantly, ipqs, leadmagic, lemlist, linkedinadsaudiences, linkedinscraper, lusha, openwebninja, parallel, peopledatalabs, prospeo, rocketreach, salesforce, serper, slack, smartlead, snowflake, theirstack, trestle, wiza, zerobounce.

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 — every command returns monitoraccessrequired. 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.

Use when a Deepline Play needs human review, evaluation against golden labels, or bounded iterative improvement. Triggers on “put this run in a Sheet,” “review these results,” “read my feedback,” “compare this run to the golden set,” “evaluate this play,” “optimize this play,” or “add the revised run to the same spreadsheet.” It covers fresh Google Sheets feedback reads, durable Play Dataset exports, golden-set discipline, and safe iteration through deepline tools execute. Skip ordinary CSV export with no review or evaluation loop.

Use 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 case,” “compare these runs,” “keep improving,” or “add the revised run to the same spreadsheet.” Skip ordinary Play authoring or execution with no human review loop, generic spreadsheet work, and one-off CSV export.

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.

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

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, and CSV-driven row work. Triggers on phrases like 'enrich this CSV', 'find contacts at these companies', 'build a TAM list', 'waterfall emails for these leads', 'detect job changes', 'write a sequence for', and on any request that mentions Deepline, plays, or named GTM providers (Apollo, 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), a cloud-workflow / cron / webhook setup with no enrichment dimension (use workflow-hello-world), or has no Deepline / outbound / data-enrichment dimension at all.

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.

[DEPRECATED — use deepline-gtm] Use this skill for GTM prospecting, enrichment, qualification, and outbound workflows, especially when users mention Deepline, CSV processing, lead/account/contact research, waterfall enrichment, email or LinkedIn lookup, personalization, scoring, or campaign activation. Route CSV-heavy and provider-driven requests through this skill, then rely on linked sub-docs and provider playbooks for execution details. Available providers: adyntel, aiark, apify, apollo, attio, bettercontact, bloomberry, builtwith, cloudflare, contactout, crustdata, customerdb, dataforseo, datagma, deeplinenative, deeplineagent, discolike, dropleads, exa, findymail, firecrawl, forager, fullenrich, generichttp, heyreach, hubspot, hunter, icypeas, instantly, ipqs, leadmagic, lemlist, linkedinadsaudiences, linkedinscraper, lusha, openwebninja, parallel, peopledatalabs, prospeo, rocketreach, salesforce, serper, slack, smartlead, snowflake, theirstack, trestle, wiza, zerobounce.

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

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.

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

Find public community language, market signals, launch feedback, and technical discussion across X/Twitter, Bluesky, Hacker News, and other public social sources.

Create a cloud Deepline workflow that runs on a recurring cron schedule or via webhook, inspect it, and validate trigger behavior end to end.