maxkura

maxkura / Ask_Why

Public

A codex planning mode enhancing skill，works better than codex planning mode.

github.commaxkuraAsk_Why agent codex planning skill
90
6
69% credibility
Found May 02, 2026 at 70 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This repository contains a configuration for an AI agent called Ask Why that helps users convert vague ideas into structured plans backed by key decisions.

How It Works

1
🔍 Discover Ask Why

While brainstorming a fuzzy idea for a product or project, you find Ask Why, a helpful tool for making sense of vague thoughts.

2
📖 Learn how it works

You see it turns loose ideas into clear plans by digging into the reasons behind them.

3
💭 Share your idea

You simply describe your rough concept, like a new app or workflow, and Ask Why gets to work.

4
🤔 It asks smart questions

Ask Why gently probes with why questions to uncover your true goals and decisions.

5
🔍 Watch the plan form

It builds out a step-by-step plan based on solid choices, making everything crystal clear.

📋 Get your ready-to-go plan

You now have a decision-backed roadmap that turns your vague idea into actionable steps.

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AI-Generated Review

What is Ask_Why?

Ask_Why is a lightweight YAML-based agent config for OpenAI integrations, like enhanced Codex CLI planning or GitHub Copilot extensions. It takes vague ideas for products, workflows, research, or tech stacks and turns them into structured, decision-backed plans by systematically asking "why" questions. Developers get a simple prompt interface to refine concepts fast, without the fluff of standard AI planning modes.

Why is it gaining traction?

It outperforms basic Codex planning by focusing on decision trees over generic outputs, making it a go-to for devs who ask GitHub Copilot questions or use ask GitHub repo AI tools. The hook is its dead-simple integration—drop the config into your OpenAI agent setup and invoke it via prompts like "ask why not" on ideas. With 63 stars, it's pulling devs tired of vague AI responses who want actionable plans.

Who should use this?

Product managers prototyping workflows, indie devs fleshing out app ideas before coding, or researchers outlining technical experiments. Ideal for teams using GitHub Copilot in Visual Studio to ask GitHub Copilot to review plans or write unit tests grounded in "why" rationale. Skip if you're deep into complex ML pipelines.

Verdict

Try it for quick planning boosts if you're in the OpenAI/Copilot ecosystem—low barrier, real utility despite the 0.7% credibility score and sparse docs from 63 stars. Still early; contribute tests or examples to mature it.

(178 words)

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