# Run Airtop Agents From Claude Code, Codex, and Any Coding Agent Mar 12, 2026 Daniel Shteremberg product Airtop Agents Skill - YouTube If you're using Claude Code, Codex, or another AI coding agent to build and ship software, you now have a direct line to your go-to-market automation stack. Today we're releasing the **Airtop Agents Skill**, an open-source extension that connects your Airtop agents to Claude Code, Codex, Cursor, Windsurf, and 40+ other coding agents. Install it in one command, and you can trigger lead enrichment, prospecting, account research, and any other GTM workflow you've built in Airtop, directly from your terminal. ## Why This Matters Airtop agents are purpose-built for GTM workflows. They run reliably, execute the same way every time, and cost a fraction of what runtime LLM agents charge. They can automate any website (including LinkedIn, vendor portals, and sites behind logins) using a real browser, and they combine that with API integrations and native enrichment services. Until now, you'd run these agents from the Airtop portal or via webhooks. With this skill, your coding agent becomes a powerful orchestration layer on top of Airtop. It can call agents, process their results, chain multiple agents together, and weave GTM data into whatever you're building, all in a single conversation. ## How It Works Getting started takes about 30 seconds: **Install the skill:** ``` npx skills add airtop-ai/airtop-skill ``` Your coding agent will guide you to set up your API key. That's it. Your coding agent now has access to every Airtop agent in your account. ## What You Can Do Once installed, you can interact with your agents using simple commands: - **List your agents:**`/airtop-agents list` - **Run an agent:**`/airtop-agents run "Lead Enrichment" --vars '{"linkedin_url": "..."}'` - **Check status:**`/airtop-agents status ` - **View history:**`/airtop-agents history ` But the real power isn't in the commands themselves. It's in how your coding agent uses them. You can describe what you want in natural language, and the coding agent will figure out which Airtop agents to call, what data to pass, and how to process the results. ## In Action: LinkedIn Engagement Mining To show what this looks like in practice, let's walk through a real GTM workflow we ran entirely from Claude Code, using an Airtop agent that runs reliably and costs pennies per execution. ### The goal: Find potential customers by identifying people who engage with thought leaders and competitors on LinkedIn. ### The technique: This is a well-known go-to-market strategy. You identify important voices on LinkedIn (thought leaders, competitors, analysts) who talk about topics relevant to your business. Then you find everyone who commented on their posts. These commenters are actively engaged in your space, which makes them high-quality prospects. ### How we did it: We used [this Airtop template](/content/templates/linkedin-lead-generation-from-post-commenters-old-3/index.html), a free, ready-to-use agent for exactly this workflow. From Claude Code, we ran it with a single command, passing in the LinkedIn profile URLs we wanted to mine. The agent found recent posts from the specified profiles, extracted every commenter, and enriched each one with: - **Name** and **role** - **Company** - **Email** (when available) - **Link to the specific post** they commented on Claude Code received all of this structured data and displayed it as a clean table: names, companies, roles, emails, and post links, all ready for outreach. The agent itself is highly configurable. You can have it push results directly to Google Sheets, send outreach emails, or even send LinkedIn DMs, all without leaving Airtop. Pair that with Claude Code orchestrating the flow, and you have a full prospecting pipeline: identify, enrich, and reach out. ## What You Can Build This skill unlocks a new pattern: **using your coding agent as the orchestration layer for your GTM automation stack.** Here are a few ideas: ### Lead generation pipelines. Run enrichment agents on a list of prospects, score and filter the results, then draft personalized outreach. Each Airtop agent execution costs pennies and runs deterministically, so you can process hundreds of leads without worrying about cost or inconsistent results. ### Signal-based outbound. Identify prospects based on real engagement signals (like LinkedIn comments or job postings), enrich them with Airtop's native integrations, and have your coding agent craft tailored messaging for each one. ### Account research. Before a sales call, ask your coding agent to run your Airtop research agent on the prospect's company. The agent handles the data gathering reliably across websites and APIs, while your coding agent synthesizes the results into a one-page brief. ### Multi-step GTM workflows. Chain multiple Airtop agents together in sequence: one to identify prospects, another to enrich them, a third to score them against your ICP. Your coding agent ties them together and handles the logic between steps. ## Get Started 1. **Install the skill** in your coding agent of choice 2. **Get your API key** from [portal.airtop.ai/api-keys](https://portal.airtop.ai/api-keys) 3. **[Browse the template library](/content/templates/index.html)** to find agents for your use case, or build your own in minutes using natural language. The skill is open source and available on GitHub: [airtop-ai/airtop-skill](https://github.com/airtop-ai/airtop-skill) We'd love to hear what you build with it. Drop us a note or share your workflows. We're always looking for new use cases to feature. Automate your growth in minutes.