poteto

poteto / how

Public

skill for explaining architecture

80
2
100% credibility
Found Apr 15, 2026 at 139 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A helper tool for code workspaces that explains how features or systems in projects work, with options for detailed breakdowns or design critiques.

How It Works

1
🔍 Discover the Helper

You hear about a friendly guide that explains tricky parts of big projects in simple terms.

2
📥 Add It to Your Workspace

You easily add this smart helper to the app where you work on your projects.

3
📂 Open Your Project

You open the folder with all your project files that you want to understand better.

4
💭 Ask Your Question

You type a question like 'How does sending a message work?' and let the helper explore.

5
Choose Your Focus
📖
Just Explain

Get a structured breakdown of how everything fits together.

🔍
Explain and Review

First learn how it works, then get tips on what could be better.

6
✨ See the Magic

Watch as the helper gathers insights and delivers a neat summary with key ideas, steps, locations, and tips.

🎉 Master Your Project

You now clearly understand the project's inner workings and feel confident to jump in and contribute.

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Star Growth

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AI-Generated Review

What is how?

How is a Cursor plugin that adds a `/how` skill for generating senior-engineer-level explanations of codebases, subsystems, or features. Type a prompt like "How does message virtualization work?" and it auto-detects complexity to deliver structured breakdowns covering overview, key concepts, flows, locations, and gotchas—solving the pain of onboarding to unfamiliar repos or tracing how GitHub Actions work. It also offers a critique mode that explains first, then flags architectural issues via multi-model analysis, perfect for explaining skill components without digging through code manually.

Why is it gaining traction?

Unlike basic Copilot queries or manual diagramming, How decomposes tough questions into parallel explorations for coherent, multi-angle answers, skipping subagents for simple ones to stay fast. Developers hook on the rubric-driven critiques that surface real design flaws, plus seamless Cursor integration that handles spans across files or services—think dissecting how GitHub Copilot works and handles data in one go. It's a step up from generic AI chats, delivering polished outputs that feel like a teammate's walkthrough.

Who should use this?

Senior backend engineers onboarding to microservices, full-stack devs tracing auth flows or message queues, or team leads auditing designs before refactors. Ideal for explaining skill in microteaching-style breakdowns, especially in sprawling monorepos where you need quick insights on how GitHub apps work without context-switching.

Verdict

Try it if you're deep in Cursor daily—80 stars and 1.0% credibility score signal early-stage promise with solid docs, but low maturity means watch for edge cases in massive codebases. Solid for targeted use, not daily driver yet.

(198 words)

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