oracle

Bundle prompts with project files for AI code analysis.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Nirpat3/MIB007 --skill oracle-nirpat3
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/Nirpat3/MIB007/tree/main/skills/oracle
Command: npx skills add https://github.com/Nirpat3/MIB007 --skill oracle-nirpat3

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines complex coding tasks by bundling prompts with relevant project files, enabling AI models to understand and operate within your codebase's specific context.

Core Features & Use Cases

  • Contextual AI Assistance: Provides AI with the necessary files and prompts to offer accurate, context-aware solutions.
  • Efficient Debugging & Development: Reduces the need for extensive manual context-setting when interacting with AI for code-related issues.
  • Use Case: When facing a complex bug, use this Skill to send the relevant source files, error messages, and your attempted fixes to an AI, allowing it to diagnose and suggest a precise solution.

Quick Start

Use the oracle skill to preview the token count for a task involving all files in the src directory, excluding test files.

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I provide code context to an AI model for debugging?

To provide code context for debugging, you can bundle relevant project files and prompts together using the oracle Skill. This approach sends specific repository context directly to the AI, enabling accurate diagnosis and precise solutions for complex bugs.

Can I preview token usage before sending project files to an AI?

Yes, you can preview token usage before sending project files to an AI. The Skill includes a token usage preview feature that calculates the token count for selected files and prompts, helping you manage context limits efficiently.

Does oracle work with both API and browser-based AI engines?

The oracle Skill supports both API and browser-based AI engines. This allows you to choose your preferred interaction method while leveraging session management and file attachment patterns for code analysis and refactoring tasks.

How do I exclude test files when attaching a directory for AI code analysis?

You can exclude test files during AI code analysis by using the Skill's file attachment patterns. When bundling prompts with your project files, you can specify pattern exclusions to ensure only relevant source files are sent to the AI model.

What is the best way to use AI for refactoring code within a specific repository context?

The best way to use AI for refactoring code within a specific repository context is to bundle your refactoring prompts with the selected source files. This provides the AI with the necessary project context to generate accurate and applicable code changes.

Why does my AI model fail to understand my project's codebase during code generation?

AI models fail to understand your project's codebase during code generation when they lack specific repository context. By bundling prompts with selected project files, you provide the AI with the exact code context needed to generate accurate solutions.