atypica-ai

atypica-ai / marketing-skills

Public

marketing skills developed and optimized for agent use

35
0
100% credibility
Found Apr 05, 2026 at 35 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A collection of specialized skills that enhance AI agents for marketing research, including market sizing, simulated user interviews, product reports, and more.

How It Works

1
🔍 Discover Marketing Skills

You find a handy collection of tools that supercharge your AI assistant for marketing tasks like sizing markets and gathering user insights.

2
📦 Add Skills to Your Assistant

You simply copy the skills folder into your AI agent's workspace, making it ready to tackle research projects.

3
💬 Chat with Your Smarter AI

You ask your AI things like 'What's the market size for coffee apps?' or 'Interview users about my product idea,' and it automatically uses the perfect skill.

4
👥 Run Virtual User Interviews

Your AI simulates conversations with realistic customer personas, giving you feedback as if you ran real focus groups.

5
📊 Create Reports and Exports

Get professional reports on product innovation or market analysis, even turned into neat PDFs ready to share.

🎉 Unlock Marketing Superpowers

Your AI now delivers deep insights, strategies, and visuals effortlessly, helping your business ideas shine without traditional research hassles.

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AI-Generated Review

What is marketing-skills?

This GitHub marketing skills repository delivers a set of plug-and-play skills for AI agents, turning them into marketing research powerhouses. Drop them into tools like Claude Code, Cursor, or any Agent Skills spec supporter, and your agent handles market sizing (TAM/SAM/SOM), product innovation reports, simulated user interviews via Atypica.AI, logo design as SVG, and HTML-to-PDF conversion. Built mostly in Shell and JavaScript scripts, it solves the gap for founders and PMs needing quick, consultant-grade insights without manual research.

Why is it gaining traction?

It stands out as a curated github marketing skills library tailored for agent workflows, with natural language triggers like "What's the TAM for AI tools?" auto-invoking the right skill—no custom prompting needed. Easy installs via git clone, submodule, or npx make it a low-friction add-on for Claude marketing skills users, plus direct slashes like /market-sizing beat generic agent hacks. Developers grab it for the polished outputs, like shareable HTML reports or faithful PDFs.

Who should use this?

Product managers at startups running market analysis for pitch decks, indie hackers validating SaaS ideas with TAM breakdowns, or marketers simulating user feedback on features without real interviews. Ideal for teams already using Claude code for github marketing strategy or corey haines marketing skills github-style automation, especially in B2B or consumer spaces like bank marketing github flows.

Verdict

Grab it if you're deep in agent-driven workflows—solid docs and MIT license make experimentation cheap, despite 35 stars and 1.0% credibility signaling early maturity. Skip for production unless you fork and test; it's a promising marketing skills 2025 starter, not battle-tested yet.

(178 words)

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