oracle

Bundle natural language prompts with files and directories for AI context.

Updated Feb 12, 2026
One-click install
npx skills add https://github.com/sentientsprite/nemo-agent --skill oracle-sentientsprite
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/sentientsprite/nemo-agent/tree/main/skills/oracle
Command: npx skills add https://github.com/sentientsprite/nemo-agent --skill oracle-sentientsprite

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, ensuring the AI has the necessary information to provide accurate and context-aware responses.

Core Features & Use Cases

  • Context Bundling: Combines natural language prompts with specified files and directories.
  • Multi-Engine Support: Works with both API-based and browser-based AI execution environments.
  • Use Case: When debugging a complex codebase, use this Skill to bundle your error message and relevant source files, allowing an AI to analyze the code with full context and suggest a fix.

Quick Start

Use the oracle skill to bundle the prompt 'debug this code' with 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 code analysis?

To bundle prompts with files for AI code analysis, combine your natural language instructions with specified project directories to provide large language models with comprehensive code context.

Does this AI context bundling tool support browser-based execution engines?

Yes, this AI context bundling tool supports both API-based and browser-based execution engines, including session management capabilities for handling long-running tasks.

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

The best way to provide full project context to an LLM for debugging is bundling error messages and relevant source files together, ensuring the AI analyzes the code with complete environmental context.

Can I generate documentation by bundling source files and prompts together?

Yes, you can generate documentation by bundling source files and prompts together, which facilitates detailed documentation generation by providing comprehensive project context to AI models.