Othmane-Khadri

10 installable Claude Code skills that turn your terminal into a GTM command center. ICP building, signal scanning, lead scoring, outreach sequences, battlecards. Built by Earleads.

15
5
100% credibility
Found Mar 16, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A set of AI skills for sales and revenue teams that generate structured documents like customer profiles, lead scores, outreach sequences, and reports from natural language triggers.

How It Works

1
🔍 Discover the Playbook

You come across a helpful collection of tools that turn your AI assistant into a sales and marketing command center.

2
📥 Add it to your workspace

You easily bring the playbook into your project so your AI can use these special skills right away.

3
💡 Start chatting naturally

You simply tell your AI things like 'build my ideal customer' or 'scan for sales signals,' and it gets to work.

4
📊 Create customer profiles

Your AI builds detailed guides on who your perfect customers are, their motivations, and where to find them.

5
🔎 Spot hot leads

It researches companies, scores buying interest, and organizes leads into hot, warm, or cold categories.

6
📧 Plan your outreach

You get ready-made email sequences, meeting briefs, and reports that chain together for smooth sales flow.

🎉 Sales supercharged

Now your team has automated intelligence and plans that make growing revenue feel effortless and organized.

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AI-Generated Review

What is gtm-engineer-playbook?

The gtm engineer playbook is a Shell-based pack of 10 installable Claude Code skills that transform your terminal into a GTM command center. Trigger them with phrases like "build my ICP," "scan for signals," or "battlecard for [competitor]" to generate structured docs for ICP building, lead scoring, outreach sequences, and battlecards. Built by Earleads, it solves the chaos of manual GTM tasks by chaining outputs—ICP feeds signal scanning, which powers qualification and sequences—for repeatable revenue workflows in Claude Code projects.

Why is it gaining traction?

It stands out by encoding proven GTM methodologies as chainable skills, not one-off prompts, with easy installation claude code mac or windows via a single bash script. Developers hook into real-time web search and optional MCP servers like HubSpot or Apollo.io for CRM integration, producing ready-to-use markdown in a docs folder. The natural language triggers and structured outputs make complex building like account briefs or weekly reports feel effortless in the Claude CLI.

Who should use this?

GTM engineers and sales operators scripting ICPs, scanning buying signals, or prepping meeting briefs. Revenue teams at B2B startups handling lead scoring, outreach sequences, or competitive battlecards without custom agents. RevOps pros auditing CRM hygiene or planning agent architectures in Claude Code environments.

Verdict

Grab it if you're deep in Claude Code and need GTM acceleration—docs are solid, installation claude ai is dead simple, and skills deliver immediate value despite 15 stars and 1.0% credibility score. Still early and unproven at scale; test in a side project before production pipelines.

(198 words)

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