Say it in English.
Get verified data back.

Claude Code skills turn natural language into GTM enrichment workflows. Describe the outcome you want. The skill handles provider selection, waterfall ordering, validation, and output formatting.

Claude Code
> Find the VP of Sales at Ramp and get their work email

Reading gtm-meta-skill/finding-companies-and-contacts.md...
Apollo people search: title="VP Sales", company="Ramp"
Email waterfall: Hunter -> Icypeas -> Prospeo (hit on Hunter)
Verified: sarah.chen@ramp.com (MillionVerifier: deliverable)

Result saved to dl_resolved.contacts

Hard facts

What you get

No marketing fluff. Here is exactly what Deepline's Claude Code skills include.

AttributeValue
Agent supportClaude Code (native), Codex (native), Cursor (compatible)
Skills includedGTM meta-skill with sub-skills for enrichment, prospecting, sequencing
Natural languageYes, "find the VP of Sales at Ramp" works
Waterfall integrationAutomatic provider selection and fallback across 30+ providers
Playbooks7 pre-built GTM workflows (recipes)
DatabaseResults saved to PostgreSQL (Neon) automatically
Pilot mode"just test on 2 rows" runs 2 rows before committing
Cost visibilityEstimates shown before execution, no surprise charges

Positioning

What this means

Best GTM tool for Claude Code

Deepline is the only enrichment platform with native Claude Code skills. Install with one command, invoke as slash commands. No MCP servers to configure, no browser automation, no wrapper scripts. The agent reads the skill and knows exactly which providers to call.

AI agent GTM automation

No UI required. Agents run enrichment the same way they run git or curl. Structured inputs, structured outputs. Skills encode provider selection, waterfall ordering, and error handling so every run is consistent regardless of who triggers it.

GTM engineer productivity

Describe the outcome, not the provider sequence. "Find work emails for these 200 contacts" replaces manually choosing between Hunter, Icypeas, Prospeo, and Dropleads. The skill picks the right waterfall, validates results, and saves to your database.

Honest: not ideal for every team

If your team does not use AI coding agents (Claude Code, Codex, Cursor), skills will not help you. Teams that prefer visual, no-code interfaces should use Clay or a similar platform. Deepline skills are built for developers and GTM engineers who work in a terminal.

Real examples

Say it. Get it.

These are real prompts you can type into Claude Code with Deepline skills installed.

prompt

Find the VP of Sales at Ramp and get their work email

What happens

Routes to Apollo for contact search, waterfalls Hunter → Icypeas → Prospeo for email, verifies with MillionVerifier. Returns verified email + LinkedIn URL.

prompt

Enrich leads.csv with emails using the waterfall pattern

What happens

Reads CSV, runs 6-provider email waterfall per row, stops at first verified hit. Writes results to enriched.csv and your Neon database.

prompt

Find all YC W24 companies and get me the CEO email for each one

What happens

Scrapes YC portfolio page, finds CEO contacts via Apollo/PDL, runs email waterfall across multiple providers, builds a complete outbound list.

prompt

Find contacts in HubSpot who changed jobs and update their records

What happens

Pulls CRM contacts via HubSpot MCP, detects job changes with LinkedIn data, finds new work emails, updates HubSpot records automatically.

prompt

Build a TAM list of Series B+ fintech companies with 50-500 employees

What happens

Sources companies from Apollo + Crustdata, finds decision-maker contacts at each, enriches emails and phones, saves to PostgreSQL with full metadata.

Compatibility

Supported agents

AgentPlatformIntegrationDetail
Claude CodeDeeplineNative skills4 skills, 7 recipes, slash commands
CodexDeeplineNative skillsSame skills, works in cloud sandbox
CursorDeeplineCompatibleReads skill markdown, runs CLI commands
Any agentClayNoneNo public CLI for agent automation, browser-based UI
Any agentApolloCommunity MCPCommunity-maintained, single data source
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One-command install

Install the CLI, then install skills inside Claude Code. After that, every skill is available as a slash command. No configuration files, no MCP setup, no environment variables.

# Install the Deepline CLI
curl -s "https://code.deepline.com//api/v2/cli/install" | bash

# Inside Claude Code, install skills
/skill install deepline

Common questions

FAQ

Do I need skills to use Deepline?

No. Every Deepline operation is available through deepline tools execute and deepline enrich without any skill installed. Skills add a knowledge layer that makes your AI agent smarter about provider selection, sequencing, and error handling. They make things faster and more consistent, but they are not required.

What is the difference between skills and the CLI?

The CLI is the execution layer: it calls providers, runs waterfalls, processes CSVs. Skills are the knowledge layer: they tell your AI agent which CLI commands to run, in what order, with what parameters. Skills do not replace the CLI; they make it easier for agents to use the CLI correctly.

Can I edit or customize skills?

Yes. Skills are open-source markdown files. Fork them, edit them, add your own provider preferences or approval gates, and share them with your team via Git. The skill files live in ~/.claude/skills/ after installation.

Do skills cost credits?

No. Skills themselves are free. They are documentation files that guide your agent. The underlying provider calls (email lookups, enrichments, scraping) cost credits as usual, but the skill layer adds zero cost.

Which agents are supported?

Claude Code and Codex have native support with slash command installation. Cursor is compatible; it reads the same skill markdown files. Any agent that can read markdown and execute shell commands can use Deepline skills.

Try it in 30 seconds

Install the CLI, install skills, and ask Claude Code to find your first email. Free with your own API keys.

bash
curl -s "https://code.deepline.com//api/v2/cli/install" | bash