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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Claude Code skills for product market research, value props, PRDs, and go-to-market — plus the open Next Move Theory (based on AJTBD) canon and a product advisor you can /ask-nmt
| Date | Stars |
|---|---|
| 2026-07-31 | 292 |
| 2026-08-06 | 299 |
Today
+7 stars today
This week
— stars this week
This month
— stars this month
Momentum
13.0
growth rate 0.00%/day
# Next Move Theory Canon & Skills **Next Move Theory is a methodology with a step-by-step algorithm for every product decision: it lays out every tactical and strategic move open to you and helps you choose the best, with the odds on your side.** > **Advanced JTBD — v3.4 · stable.** The proven foundation. > **Next Move Theory — v0.6 · in active development** — integrating AJTBD with Riskiest Assumption Test, ABCDX Segmentation, Theory of Constraints, and Unit Economics into one operational system. Forming in the open — track it to 1.0. ([changelog](https://nextmovetheory.com/changelog)) This repository holds the open canon (the methodology, written as theses) and a set of Claude Code skills that run it. It's written for the people who decide *what to build*: founders, indie hackers, product managers, and product marketers. The methodology and the skills are by Ivan Zamesin ([X](https://x.com/zamesin) · [LinkedIn](https://www.linkedin.com/in/ivan-zamesin/)). --- ## How to start 1. **Install it** — run the install command from [Install into your project ▸](#install-into-your-project). The macOS / Linux one-liner, the `git clone` route, and the Windows PowerShell installer are all there. 2. **Then run `/nmt-chat`** (Claude Code) or `$nmt-chat` (Codex). It's the human front door to the whole methodology: **paste whatever you have** — a half-formed idea, messy notes, a chat thread, a doc — and it pulls out the context, separates what you *know* from what you're *assuming*, and gives you the next concrete move. No methodologically-perfect brief required. --- ## There is an algorithm **There is an algorithm for making any product decision.** Next Move Theory is the algorithm behind every product call: how to find product-market fit, scale, position, grow conversion, improve retention. It works at every level, from this sprint's tactics to the company's strategy. There is one for each of the questions that decide a product's fate: - How to launch a product and find Product-Market Fit - How to scale a product - How to save a dying product, or know when it's time to shut it down - How to create value - How to differentiate from competitors - How to position a product - How to exit direct competition - How to create a Disruptive Innovation - How to grow conversion - How to raise average order value - How to improve retention - How to build an acquisition channel **It lays out every move open to you.** Most decisions feel like a coin flip because you only see the one option you'd already fixed on. Next Move Theory lays out every tactical and strategic move actually open to you, including the ones you'd have missed. **It helps you choose the best.** Scores give you comfort, not direction — you can rank a feature 1,200 and still be wrong. Next Move Theory weighs each move by how much it shifts your goal and points you to the best, with the reason why. **More of your bets land.** That's the whole point. Hundreds of companies run on Next Move Theory, and across [dozens of documented cases](http://nextmovetheory.com/cases?utm_source=canon&utm_medium=github) the metrics moved significantly — conversion, retention, revenue, market share. This canon is the result of the last eight years of my work. Eight years ago I found Jobs To Be Done, saw how much it could become, and made an unreasonable decision: rebuild it from scratch so it would finally yield an algorithm. It only became that when I got lucky and found the science that explains what value really is and how a person changes behavior. That body of science sits in [`scientific-foundations.md`](Next-Move-Theory-Canon/Advanced-Jobs-To-Be-Done/scientific-foundations.md), and everything else stands on it. On that foundation I rebuilt JTBD into thousands of theses, the core I call Advanced Jobs To Be Done. AJTBD alone still didn't produce the algorithm. To get there I folded in Unit Economics, the Riskiest Assumption Test, ABCDX segmentation, and Goldratt's Theory of Constraints.
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b7728a4c04e3f1cd, llm:Description: 'Claude Code skills for product market research, value props, PRDs, and go-to-market — plus the open Next Move Theory (based on AJTBD) canon and a product advisor you can /ask-nmt'
matched fp:b7728a4c04e3f1cd, llm:Description: 'Claude Code skills for product market research, value props, PRDs, and go-to-market — plus the open Next Move Theory (based on AJTBD) canon and a product advisor you can /ask-nmt'
matched fp:b7728a4c04e3f1cd, llm:Description: 'Claude Code skills for product market research, value props, PRDs, and go-to-market — plus the open Next Move Theory (based on AJTBD) canon and a product advisor you can /ask-nmt'