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zapier / gtm-superpowers

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This repo is a field guide and installable library for GTM teams using coding agents.

43
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89% credibility
Found May 20, 2026 at 47 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This is a practical starter kit from Zapier designed for Go-To-Market teams—marketers, sellers, and operations leaders—who want to use AI assistants to automate their repeatable work. It provides ready-made 'skills' (like campaign planning, lead follow-up audits, customer story writing, and sales outreach drafting) that connect to your business tools and data. Each workflow is designed to do the research and drafting work, then hand results to a human for review before anything changes in your systems or goes out to customers. The project emphasizes safety with built-in approval gates, source-backed execution, and clear guidelines to prevent blind automation.

How It Works

1
💡 You discover a smarter way to work

As a marketing, sales, or operations leader, you find this toolkit while looking for ways to automate your team's repetitive work.

2
📋 You explore ready-made workflows

You browse through skills designed for your specific role—campaign planning, lead follow-up, customer stories, or sales outreach.

3
🎯 You pick a skill that fits your workflow

Each skill is built for a real business task, like turning campaign notes into a full launch package or finding missed follow-ups on important leads.

4
🔗 You connect your tools and data

You link your CRM, chat, documents, and other business tools so the AI assistant can work with your real context.

5
🤖 Your AI assistant does the heavy lifting

The AI agent reviews your data, pulls from approved sources, and creates draft content, reports, or action items for you to review.

6
✅ You review and approve before anything goes out

Built-in approval gates make sure no messages are sent, records updated, or content published without your sign-off.

🚀 You save hours every week

Your team gets consistent, source-backed work products while you keep full control over what actually gets shipped.

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Star Growth

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AI-Generated Review

What is gtm-superpowers?

This is a field guide and installable skill library for Go-To-Market teams that want to use coding agents like Claude Code, Codex, and Cursor to automate repeatable work. It solves the problem of turning scattered CRM data, campaign notes, customer recordings, and sales context into reviewable, source-backed work products. Built by Zapier and tightly integrated with Zapier MCP and the Zapier SDK, it provides structured workflows for everything from campaign planning and lead follow-up to customer storytelling and account intelligence. The library enforces human approval gates before any CRM writes or external messages, treating these automations as assistants rather than autonomous bots.

Why is it gaining traction?

The key differentiator is that this is not just a prompt library. It is a complete operating framework that connects context sources, tool actions, and governance rules into repeatable workflows. GTM teams are drowning in manual follow-up audits, content repurposing, and campaign coordination. This gives them a structured way to hand those tasks to an agent with clear boundaries and safety rails. The approval-gated approach is particularly appealing to RevOps and compliance-minded leaders who want the productivity gains without the risk of blind automation touching CRM records or sending external messages.

Who should use this?

GTM Ops and RevOps leaders who want to systematize lead follow-up quality and weekly account audits. Marketing teams tired of manually assembling campaign postmortems from scattered docs and dashboards. Customer advocacy teams that need to find and route approved social proof at scale. Sales reps who want personalized outreach sequences built from real account context. Content and social teams that need a clean intake process for clipping recordings. If you are running a mid-market or enterprise GTM motion and spending hours on repeatable work that should not require a human, this is worth evaluating.

Verdict

This is a credible, well-structured library from Zapier with a clear philosophy around source-backed execution and human oversight. The 43 stars reflect early-stage interest rather than proven adoption, and most skills are marked as specs or patterns that need adaptation before use in production. The 0.8999999761581421% credibility score indicates strong provenance but modest community validation. Treat this as a starter kit and a way to learn the workflow patterns, not a plug-and-play solution. If you are already using Zapier and running coding agents, it slots in cleanly. If you are evaluating the approach from scratch, it is a solid reference implementation worth studying.

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