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ProyectoG007
ProyectoG007COMMUNITY
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oracle

Automate code review, debugging, and refactoring with project context via the Oracle CLI.

Updated Mar 15, 2026
Search Tags:#code quality#code review#debugging#refactoring#CLI#AI
One-click install
npx skills add https://github.com/ProyectoG007/Skill.bat --skill oracle-proyectog007
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/ProyectoG007/Skill.bat/tree/main/scripts/05_Dev_Tools/02.%20oracle-depurador-refact-1.0.1
Command: npx skills add https://github.com/ProyectoG007/Skill.bat --skill oracle-proyectog007

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @steipete/oracle, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines code quality checks and improvements by leveraging AI to debug, refactor, and validate code against project context.

Core Features & Use Cases

  • Contextual Code Review: Uses AI to analyze code with project files for debugging, refactoring, and design checks.
  • Bundled Prompting: Packages prompts with relevant files for comprehensive AI analysis.
  • Use Case: Debug a complex function by providing the function's code, related utility files, and a specific error message to the Oracle CLI, receiving AI-generated solutions and refactoring suggestions.

Quick Start

Use the oracle skill to preview a code refactoring task for the src directory.

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I automate code review and refactoring using AI with project context?▼

AI-powered code review and refactoring is automated by bundling prompts with selected files for the Oracle CLI, enabling comprehensive API or browser-based analysis against your project context. This validates code snippets and design checks.

What is the best way to debug a complex function using an AI model?▼

To debug a complex function using an AI model, package the function's code, related utility files, and specific error messages into a bundled prompt. The Oracle CLI processes this to generate AI solutions and refactoring suggestions.

Do I need a specific CLI to perform AI-driven design checks on code snippets?▼

Yes, performing AI-driven design checks and cross-validation requires the @steipete/oracle CLI. This dependency handles bundling your selected project files with prompts to execute API or browser-based AI analysis.

Can I use AI for second-model validation during software development workflows?▼

Yes, you can use AI for second-model validation by applying this skill to software development workflows. It leverages project context to debug, refactor, and cross-validate code snippets for improved code quality.

When should I not use an AI model for code refactoring?▼

AI model code refactoring should be avoided when working without sufficient project context or when the selected files cannot be bundled via the CLI. It requires relevant utility files and specific error messages to generate accurate solutions.

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