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snowtema / ajtbd-skills

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AJTBD skills for Claude Code — product research using Advanced Jobs To Be Done methodology

zamesin.ruproducthowto claude-code skills
17
7
100% credibility
Found Mar 04, 2026 at 17 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 custom commands for Claude Code that guide AI through Advanced Jobs To Be Done product research, producing market segments, job maps, landing page copy, risk assessments, and interview recruitment strategies.

How It Works

1
💡 Dream up a product

You have an exciting idea like a customer tracker for small shops and want to study what customers really need.

2
📦 Grab the research helpers

You download this free pack of smart research tools made for your AI assistant Claude.

3
🔗 Add skills to Claude

You slip the tools into Claude's collection so it gains new powers for product studies.

4
🚀 Kick off full research

In your project space, you ask Claude to run the complete research by describing your product and its website.

5
Choose a customer group
🏢
Business customers

Dive into companies or teams needing your product.

👨‍👩‍👧
Everyday people

Focus on individual users in daily life.

6
🗺️ Map customer struggles

Claude draws a clear picture of all the jobs and tasks your chosen customers want to get done.

7
📊 Create study guides

Claude whips up a sample landing page, spots risky assumptions, and plans how to find people for chats.

🎉 Get your research kit

Everything lands in a handy folder in your project, giving you maps, plans, and insights to build the right product.

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AI-Generated Review

What is ajtbd-skills?

This project delivers AJTBD skills for Claude Code, letting you run advanced Jobs to be Done methodology for product research right in your coding environment. Drop a slash command like `/ajtbd-research B2B CRM system, site: example.com` and it handles segmentation, job graphs, landing page copy, RAT analysis, and recruit plans—saving outputs to your project folder. It's prompt-based, no traditional language, streamlining what used to take days of manual spreadsheets into an interactive AI chain.

Why is it gaining traction?

It stands out by chaining specialized commands into a full product research pipeline tailored for AJTBD, unlike generic AI prompts or scattered tools. Developers hook on the B2B/B2C segment generators with TAM estimates and the seamless handoffs between steps, keeping everything in Claude Code without context switching. Low barrier: copy to your skills dir and go.

Who should use this?

Solo founders validating B2B SaaS ideas before building. Product managers at startups needing quick job maps and risk cards for investor pitches. Indie hackers researching B2C apps who skip bloated research suites for AI speed.

Verdict

Worth a spin for AJTBD fans—17 stars and 1.0% credibility score signal early days with thin docs and no tests, but the orchestrated workflow delivers real research artifacts fast. Test on a side project before betting the farm.

(178 words)

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