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oracle

Bundle prompts with files and directories for AI context.

1|Updated Jan 28, 2026
Search Tags:#developer tools#debugging#prompt engineering#cli#ai#code context
One-click install
npx skills add https://github.com/lachlanchen/LazyingArtBot --skill oracle-lachlanchen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/lachlanchen/LazyingArtBot/tree/main/skills/oracle
Command: npx skills add https://github.com/lachlanchen/LazyingArtBot --skill oracle-lachlanchen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of providing context to AI models by bundling prompts with relevant files, enabling more accurate and context-aware responses.

Core Features & Use Cases

  • Context Bundling: Combines prompts with specified files and directories into a single request.
  • Engine Flexibility: Supports both API and browser-based execution engines for different AI models.
  • Session Management: Allows reattachment to long-running or detached sessions for complex tasks.
  • Use Case: When debugging a complex codebase, use Oracle to bundle your error message, relevant source files, and project context into a single prompt for an AI to analyze and suggest a fix.

Quick Start

Use the oracle skill to preview the token count for a task involving all files in 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 prompts with files for AI context?▼

Yes, you can bundle prompts with specific files and directories for AI context using this Skill. It combines your error messages and source files into a single request for AI models to analyze.

What is the best way to provide full project context to an AI for debugging?▼

Bundling your error messages and relevant source files into a single prompt provides full project context for debugging. This approach helps AI models analyze the codebase and suggest accurate fixes.

Does this context bundling approach work with browser-based AI engines?▼

Yes, this context bundling approach works with both API and browser-based execution engines. It offers engine flexibility to support different AI models during complex debugging and analysis tasks.

Can I reattach to a long-running AI session after bundling files?▼

Yes, you can reattach to long-running or detached AI sessions after bundling files. The session management feature allows you to resume complex tasks that require comprehensive project context.

Do I need a CLI tool to bundle files and prompts for AI analysis?▼

Yes, you need the oracle CLI tool installed to bundle files and prompts for AI analysis. The CLI tool handles execution, session management, and token count previews for your bundled context.

How do I preview the token count before sending files to an AI model?▼

You can preview the token count before sending files to an AI model by using the CLI tool to evaluate a task involving your specified directories. This helps manage context limits before executing the bundled prompt.

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