oracle

Name: oracle
Availability: InStock
Author: kolbick

Bundle natural language prompts with project files into a single AI input.

Updated Jul 17, 2026

Search Tags:#developer tools #prompt engineering #cli #ai #llm #code context

Ready to run

npx skills add https://github.com/kolbick/Kolb-Bot --skill oracle-kolbick

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/kolbick/Kolb-Bot/tree/main/skills/oracle
Command: npx skills add https://github.com/kolbick/Kolb-Bot --skill oracle-kolbick

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

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

Core Features & Use Cases

Contextual AI Interaction: Bundles prompts and files for "one-shot" AI requests, allowing models to understand and respond with specific project context.
Efficient Development Workflow: Facilitates best practices for using the oracle CLI, including file selection, engine choice, and session management for long-running tasks.
Use Case: When debugging a complex issue in a large codebase, use this Skill to bundle your error message, relevant source files, and project setup details into a single request for an AI model to analyze and suggest a fix.

Quick Start

Use the oracle CLI to preview the token count for a task by running oracle --dry-run summary -p "<task>" --file "src/**".

Frequently Asked Questions about oracle

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

FAQPage Schema

How do I bundle project files and prompts for AI context?▼

To bundle project files and prompts for AI context, combine natural language instructions with specified files and directories into a single input. This allows AI models to analyze code with full project awareness for debugging or content generation.

Can I use glob patterns to include or exclude files when bundling code context?▼

Yes, you can use glob patterns to include or exclude files when bundling code context. This file selection mechanism filters source files and directories, ensuring only relevant project components are passed to the AI model.

Does the oracle CLI work with both API and browser-based AI execution engines?▼

The oracle CLI works with both API and browser-based AI execution engines. It supports session management across these engines, allowing long-running tasks and contextual interactions within your software development workflow.

What is the best way to preview token count before sending files to an LLM?▼

The best way to preview token count before sending files to an LLM is using a dry run. Execute the CLI with a dry-run flag, your prompt, and file globs to estimate the token size of the bundled request.

How does prompt templating work for code analysis requests?▼

Prompt templating for code analysis works by structuring natural language prompts with file references into a unified input. This allows repeatable, formatted instructions to be bundled with project directories for consistent AI interactions.

When should I not use a bundled one-shot AI request for debugging?▼

You should not use a bundled one-shot AI request for debugging when your codebase exceeds token limits or requires multi-turn conversational adjustments. In these cases, granular file selection or session-based interactions are more effective.