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RobGruhl
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ask-the-oracle

Submit code questions to OpenAI GPT-5 Pro for architectural analysis and review.

Updated Nov 12, 2025
Search Tags:#long-running#repomix#code-analysis#architecture-review#token-cost#deep-dive
One-click install
npx skills add https://github.com/RobGruhl/ask-the-oracle --skill ask-the-oracle
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ask-the-oracle
Source: https://github.com/RobGruhl/ask-the-oracle/tree/main/skills/ask-the-oracle
Command: npx skills add https://github.com/RobGruhl/ask-the-oracle --skill ask-the-oracle

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires repomix, openai, chalk, ora, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of requesting expert, deep-dive code analysis from premium AI models, handling file selection, token-estimation, long-running requests, and result presentation—so you can focus on fixes rather than orchestration.

Core Features & Use Cases

  • Smart File Selection & Repomix Packaging: Identify relevant code files, pack them efficiently into a context for analysis, and estimate tokens.
  • Long-Running Analysis: Submits to high-end AI models and polls for completion, even when responses take 10–20 minutes.
  • Cost Transparency & History: Visualize token usage and costs, and save consultations for future reference.

Quick Start

Ask the Oracle to perform a deep architectural analysis on your codebase, for example: "Review the architecture of this Node.js API and identify bottlenecks and possible refactors".

Frequently Asked Questions about ask-the-oracle

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How can I get deep architectural analysis of my codebase without manually selecting files?▼

Deep code analysis automates file selection via globs and packages them with Repomix for submission to GPT-5 Pro. The Skill identifies relevant code files, estimates token usage, and handles long-running API requests—delivering architectural insights in 20 minutes instead of manual orchestration.

What's the best way to debug hard-to-reproduce issues across multiple files?▼

Submit your codebase for expert analysis using automated file discovery and Repomix packaging. The Skill bundles relevant files, estimates costs upfront, and sends the packaged context to OpenAI for comprehensive review, surfacing root causes across your architecture.

How do I estimate token costs before submitting code for AI analysis?▼

Token-count-based packaging calculates exact costs before submission. The Skill applies cost-limiting checks and requires user confirmation, so you see token usage and estimated expenses upfront before any API call executes.

Can I review my previous code analyses and track consultation history?▼

Yes. The Skill enforces structured history logging of all consultations. Each deep-dive analysis is saved for future reference, so you can compare past architectural reviews and track how your codebase evolved.

Does this work for large Node.js APIs and multi-file applications?▼

Yes. The Skill applies to architectural analysis, design reviews, and large codebases across multiple files. It handles long-running requests to GPT-5 Pro and automates Repomix packaging for Node.js APIs and other complex applications.

What happens if my analysis takes longer than expected?▼

The Skill implements background processing and polling for long-running API requests. Even if architectural analysis takes 10–20 minutes, the Skill manages the wait and delivers results without manual intervention.

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