jamiemill

jamiemill / layers-skills

Public

AI skills for product designers — guidance through the seven layers of product design.

layers.jamiemill.com
15
3
100% credibility
Found May 08, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A collection of AI-guided skills that help product designers systematically work through seven layers of product design, from user behavior observation to surface decisions.

How It Works

1
📚 Discover the toolkit

You hear about a helpful set of guides that help product designers think clearly through seven layers of design, from understanding users to final looks.

2
🧠 Start with the introduction

You share the intro guide with your AI helper to get the big picture of how the layers fit together and build a strong foundation.

3
🎯 Find your focus

You run the orientation session with your AI to quickly check all layers and discover exactly where to put your energy first.

4
Pick your path
🔍
Explore user problems

Dive into observing behaviors, mapping the domain, and listing user needs to build deep understanding.

💡
Shape the solution

Move to strategy, models, flows, and surface to turn insights into a clear product plan.

5
🛠️ Work the layer deeply

Your AI runs a structured session for the chosen layer, helping you create maps, stories, and decisions that feel solid and organized.

🎉 Master your design

You walk away with prioritized ideas, clear decisions, and confidence that your product design has strong foundations without guesswork.

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AI-Generated Review

What is layers-skills?

Layers-skills is a Markdown-based toolkit of AI prompts designed for product designers navigating the seven layers of product design, from observed user behavior to surface decisions. You start with /layers-intro for framework context, then use /layers-orient to audit and pinpoint focus areas, or jump to layer-specific skills like /layers-user-needs for prioritized job stories or /layers-conceptual-model for object maps. It solves the chaos of unstructured design work by enforcing logical dependencies across problem and solution spaces, turning vague ideas into concrete outputs via tools like skills github claude or skills github copilot vscode.

Why is it gaining traction?

It stands out with a battle-tested framework that diagnostic audits weak spots, unlike generic skills github examples or scattered design prompts. Developers and designers hook into slash commands for instant structured sessions—run /layers-product-strategy for opportunity solution trees—making it a quick win over ad-hoc AI chats in skills github copilot cli or skills github n8n. The MIT license invites forking for custom skills product designer workflows.

Who should use this?

Product managers needing skills product manager should have for user needs prioritization, product owners mapping domains without jargon conflicts, or designers tackling neglected conceptual models in skills product management. Ideal for teams using skills github openclaw or skills github pages to audit interaction flows before coding.

Verdict

With 15 stars and a 1.0% credibility score, it's early-stage and lightly tested, but solid docs make it worth a spin for solo designers validating ideas fast. Try the intro skill before committing—low risk, potential high reward for structured design skills product managers need.

(198 words)

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