beingsmit

beingsmit / technical-product-gtm

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11 go-to-market skills for AI and technical founders — positioning, pricing, partnerships, enterprise sales, PLG, AI GTM, and board communication.

linkedin.cominsmitkpatel agent-skills ai-founders ai-gtm claude-code claude-plugin
11
2
100% credibility
Found Mar 20, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A set of go-to-market frameworks and decision tools for AI-enabled technical product founders, covering positioning, pricing, partnerships, sales, and more.

How It Works

1
🔍 Discover GTM Skills

You stumble upon a collection of practical guides for growing tech businesses, perfect for founders using AI helpers.

2
➕ Add to Your AI Helper

You simply copy the guides into your AI assistant's folder, making them ready to use right away.

3
🎯 Choose Your Business Challenge

You pick a guide that fits your exact need, like setting prices or building partnerships.

4
💬 Ask Your AI for Help

You chat with your AI about your situation, and it pulls in the perfect guide to advise you.

5
📋 Get Frameworks and Tips

Your AI shares clear checklists, decision helpers, real stories, and quick actions you can use immediately.

🚀 Scale with Confidence

You apply the advice to boost sales, fix deals, and grow your company stronger than before.

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AI-Generated Review

What is technical-product-gtm?

This repo packs 11 go-to-market skills for AI and technical founders, covering positioning, pricing, partnerships, enterprise sales, PLG, AI GTM, and board communication. It delivers battle-tested frameworks, decision trees, checklists, and failure stories via the Agent Skills spec, integrable with Claude Code, OpenAI Codex, Cursor, and similar agents. Install as a plugin or clone and drop into your agent's skills directory to query real-world GTM strategy skills on demand.

Why is it gaining traction?

Unlike generic advice, it skips theory for concrete thresholds—like PLG vs sales-led tests or enterprise price hikes with zero churn—and includes eval results showing score lifts in skills like partnership-architecture. The hook is its origin from a founder with stints at HubSpot, Datadog, and Postman, making go-to-market strategy skills feel immediately actionable for technical products. Self-contained skills mean zero deps, quick wins in agent chats.

Who should use this?

Technical founders from Seed to Series D building AI products, wrestling with weak positioning, enterprise account stalls, or PLG-sales conflicts. GTM operators needing frameworks for partnerships, developer ecosystems, or board communication when deals ghost at week four. Sales leaders at startups scaling technical products via 0-to-1 launches or onboarding.

Verdict

Grab it if you're a technical founder short on GTM playbook—low 11 stars and 1.0% credibility score signal early days, but solid docs, tested evals, and MIT license make it a low-risk experiment for agent-powered go-to-market skills. Worth watching as it matures.

(178 words)

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