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oracle

Bundle prompts with repository files for context-rich AI responses.

Updated Feb 16, 2026
Search Tags:#context#cli#oracle#session#bundling#prompt#engines
One-click install
npx skills add https://github.com/RobbyMo81/assistantrobby --skill oracle-robbymo81
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/RobbyMo81/assistantrobby/tree/main/skills/oracle
Command: npx skills add https://github.com/RobbyMo81/assistantrobby --skill oracle-robbymo81

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Oracle CLI enables bundling your prompt with repository context, including relevant files, engines, and sessions, to produce more accurate AI results without manual context switching.

Core Features & Use Cases

  • Bundle prompts with selected files and directories to provide comprehensive project context.
  • Manage engine selection and long-running sessions for reproducible, auditable runs.
  • Attach and organize files using flexible --file patterns for repeatable workflows.

Quick Start

Install the oracle CLI and run a prompt that bundles your project files to see context-rich results.

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I bundle repository files with a prompt for AI code review?▼

Oracle CLI bundles prompts with repository context to produce more accurate AI results. It attaches selected files and directories to your prompt, ensuring comprehensive project context for code review, debugging, and design tasks.

How does context-aware prompt bundling work for software projects?▼

Context-aware prompt bundling attaches repository files to your prompts using --file patterns. This provides comprehensive project context to AI engines, producing more accurate responses for code review, debugging, and design tasks.

Can I manage and replay long-running AI sessions for auditable runs?▼

Yes, the CLI provides session management and engine selection to ensure controlled, auditable runs. You can replay sessions and manage long-running workflows, ensuring reproducible AI results across your software projects.

Does the CLI support safe defaults for hidden directories and dotfiles?▼

Yes, the CLI enforces safe defaults for hidden directories and dotfiles when bundling repository context. This prevents accidental inclusion of sensitive configuration files when attaching files using --file patterns.

What is the best way to attach source files and tests to an AI prompt?▼

The best way to attach source files and tests is using flexible --file patterns. This organizes and bundles selected files and directories with your prompt, providing comprehensive project context for accurate AI responses.

Why does manual context switching produce inaccurate AI results for code review?▼

Manual context switching produces inaccurate AI results because the engine lacks comprehensive project context. Bundling prompts with repository files, docs, and tests ensures the AI receives full context for accurate code review and debugging outcomes.

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