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oracle

Bundle prompts with files and manage execution engines via the oracle CLI.

Updated Feb 18, 2026
Search Tags:#prompt engineering#cli#code context#ai assistant#development tools#oracle cli
One-click install
npx skills add https://github.com/loveoplay2023-hue/OpenMehdi --skill oracle-loveoplay2023-hue
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/loveoplay2023-hue/OpenMehdi/tree/main/skills/oracle
Command: npx skills add https://github.com/loveoplay2023-hue/OpenMehdi --skill oracle-loveoplay2023-hue

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers understand and effectively use the oracle CLI tool for bundling prompts with files, managing different execution engines, and handling sessions for complex development tasks.

Core Features & Use Cases

  • Prompt + File Bundling: Combines prompts with relevant code files for context-aware AI responses.
  • Engine Selection: Supports both API and browser-based execution engines.
  • Session Management: Allows reattaching to long-running or detached sessions.
  • Use Case: Streamline debugging by providing the oracle CLI with specific source files and a detailed problem description to get context-aware solutions from an AI model.

Quick Start

Use the oracle CLI to preview the token count for a task by running oracle --dry-run summary -p "<task>" --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 code files with prompts for AI context?▼

To bundle code files with prompts for AI context, use the oracle CLI to combine a task description with relevant source files, enabling context-aware responses by passing file paths like `src/**` directly to the execution engine.

How do I preview token counts before sending a prompt to the AI model?▼

To preview token counts before sending a prompt to the AI model, run the oracle CLI in dry-run mode using the `--dry-run` flag with your prompt and file patterns to estimate the context size without executing the actual API or browser request.

Does the oracle CLI support browser-based execution engines?▼

Yes, the oracle CLI supports browser-based execution engines alongside API configurations, allowing developers to choose their preferred interaction method for handling AI prompts and file bundling tasks.

Can I reattach to a detached oracle CLI session for long-running tasks?▼

Yes, you can reattach to a detached oracle CLI session for long-running tasks using the built-in session management features, allowing you to resume interactions with previously started prompt executions and file contexts.

Do I need to install the oracle CLI binary before using prompt bundling features?▼

Yes, you need to install the oracle CLI binary and configure it for either API or browser interactions before utilizing its prompt bundling, engine selection, and session management features for development tasks.

What is the best way to provide source code context to an AI assistant?▼

The best way to provide source code context to an AI assistant is bundling prompts with specific files using command-line interface tools, ensuring the model receives the exact code context needed to generate accurate debugging solutions.

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