oracle

Bundle prompts and selected files into a single AI analysis request.

1|Updated Feb 24, 2026
One-click install
npx skills add https://github.com/victor-brechbill/claw-kernel --skill oracle-victor-brechbill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/victor-brechbill/claw-kernel/tree/main/skills/oracle
Command: npx skills add https://github.com/victor-brechbill/claw-kernel --skill oracle-victor-brechbill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the process of providing relevant code context to AI models, enabling them to understand and act upon your codebase more effectively.

Core Features & Use Cases

  • Context Bundling: Packages prompts and selected files into a single request for AI analysis.
  • Engine Flexibility: Supports both API-based and browser-based AI interactions.
  • Use Case: When debugging a complex issue, use Oracle to bundle your relevant source files and a detailed problem description, allowing an AI to analyze the code and suggest a fix with full context.

Quick Start

Use the oracle skill to preview the token count for a task using 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 code context for AI analysis?

You can bundle code context by packaging prompts and selected files into a single request for AI analysis. This enables the AI to understand and act upon your codebase for tasks like debugging and code review.

What is the best way to provide codebase context to an AI assistant?

The best way to provide codebase context is to bundle relevant source files and a detailed problem description into a single request. This ensures the AI suggests fixes with full context.

Can I use this code context bundling tool with both API and browser-based AI interactions?

Yes, you can use this code context bundling tool with both API and browser-based AI interactions. It supports engine flexibility for analyzing codebase context.

How do I preview the token count for a code analysis task using CLI commands?

You preview the token count for a code analysis task by running specific CLI commands. This allows you to estimate token usage for selected files in the src directory before bundling them for AI analysis.

Do I need specific CLI commands to manage code context sessions for AI?

Yes, you need specific CLI commands to manage code context sessions for AI. These commands are required for previewing, running, and managing sessions for bundling prompts and files.