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oracle

Bundle prompts with files and manage oracle CLI sessions.

34|1|Updated Feb 20, 2026
Search Tags:#developer tools#prompt engineering#cli#code context#oracle#ai workflow
One-click install
npx skills add https://github.com/mangiapanejohn-dev/Resonix-AG --skill oracle-mangiapanejohn-dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/mangiapanejohn-dev/Resonix-AG/tree/main/skills/oracle
Command: npx skills add https://github.com/mangiapanejohn-dev/Resonix-AG --skill oracle-mangiapanejohn-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers understand and effectively use the oracle command-line interface for bundling prompts with files, managing different execution engines, and handling sessions for complex tasks.

Core Features & Use Cases

  • Prompt + File Bundling: Package prompts with relevant code files for context-aware AI interactions.
  • Engine Selection: Choose between API and browser-based execution engines for flexibility.
  • Session Management: Reattach to long-running or detached sessions to avoid redundant work.
  • Use Case: When debugging a complex issue in your codebase, use oracle to send a specific set of files and your detailed problem description to an AI model for analysis.

Quick Start

Use the oracle skill to preview the token count for a task by running a dry run summary with files from 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 bundle code files with prompts for context-aware AI interactions?▼

To bundle code files with prompts for context-aware AI interactions, use the oracle CLI to package relevant codebase files and detailed problem descriptions together before sending them to an AI model. This ensures the AI has the necessary repository context for accurate analysis.

What is the best way to manage long-running AI sessions in a CLI environment?▼

The best way to manage long-running AI sessions in a CLI environment is using session management features to reattach to detached or ongoing sessions. This avoids redundant work and preserves your execution state across complex development tasks.

Do I need to install any specific binaries to use oracle for prompt engineering?▼

Yes, you need to install and configure the oracle binary locally before using it for prompt engineering. This prerequisite allows the CLI to handle file bundling, engine selection, and session management for your development workflow.

How do I choose between API and browser engines for AI code analysis?▼

To choose between API and browser engines for AI code analysis, use the engine selection feature in the oracle CLI. This allows you to switch to browser-based execution or API calls depending on your flexibility and model access requirements.

Can I preview token counts for code files before sending a prompt to the AI?▼

Yes, you can preview token counts for code files by running a dry run summary. This feature allows you to estimate token usage by scanning files from directories like src before actually executing the AI interaction.

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