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oracle

Bundle prompts and files into contextual requests for AI models.

Updated Mar 31, 2026
Search Tags:#code analysis#prompt engineering#contextual AI#file bundling#AI model assistance
One-click install
npx skills add https://github.com/nuno7lopes/alisio --skill oracle-nuno7lopes
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/nuno7lopes/alisio/tree/main/skills/oracle
Command: npx skills add https://github.com/nuno7lopes/alisio --skill oracle-nuno7lopes

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The oracle Skill addresses the challenge of providing models with the necessary context to generate accurate and useful responses by bundling prompts and relevant files into a single request.

Core Features & Use Cases

  • Contextualized Requests: Combines prompts with files to provide models with the full context needed for responses.
  • Long-Think Tasks: Ideal for tasks requiring deep analysis or complex reasoning, such as code review and debugging.
  • Use Case: When working on a piece of code, use oracle to bundle your codebase and specific task details to get in-depth analysis or suggestions from AI models.

Quick Start

Run the oracle skill with the command: oracle --engine browser --model gpt-5.2-pro -p "Analyze this code for potential optimizations" --file "src/**"

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I bundle prompts and files for context-rich AI model responses?▼

To bundle prompts and files for contextual AI model responses, you integrate prompt data and relevant files into a single request, providing the AI engine with the full codebase context needed for comprehensive analysis and problem-solving.

Can I analyze my entire codebase for potential optimizations using AI?▼

Yes, you can analyze your codebase for optimizations by bundling source files and specific task details together, enabling the AI model to perform deep analytical tasks like code review and debugging with full contextual awareness.

Do I need an Oracle CLI to combine code files with prompts for deep analysis?▼

Yes, combining code files with prompts for deep analysis requires the Oracle CLI and a compatible AI engine to process the bundled contextual information and generate comprehensive model responses.

What is the best way to provide AI models with full codebase context for debugging?▼

The best way to provide full codebase context for debugging is bundling your codebase files and task instructions into a single context-rich request, ensuring the AI model has all necessary contextual information for accurate problem-solving.

How do I run a contextualized request to analyze source code with an AI engine?▼

Run a contextualized request by executing the command with your chosen AI engine and model, including the prompt instruction and file path arguments to bundle the data for the AI to analyze.

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