oracle

Bundle prompts and selected files into a single AI request.

Updated Aug 23, 2026

Search Tags:#automation #developer tools #ai #code context #prompting #file bundling

Ready to run

npx skills add https://github.com/xxrenzhe/autobb --skill oracle-xxrenzhe

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/xxrenzhe/autobb/tree/main/openclaw-prebuilt/skills/oracle
Command: npx skills add https://github.com/xxrenzhe/autobb --skill oracle-xxrenzhe

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 code context by bundling prompts with selected files, enabling more accurate and context-aware responses.

Core Features & Use Cases

Contextual AI Interaction: Provides AI models with specific code files and project context for better understanding and output.
Efficient Prompting: Bundles prompts and files into a single request, reducing manual copy-pasting and setup.
Use Case: When debugging a complex issue, use this Skill to provide the AI with the relevant source files, error logs, and your specific question, allowing it to pinpoint the problem more effectively.

Quick Start

Use the oracle skill to preview the token count for the task 'refactor the user service' 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 provide code context to an AI model for repository analysis?▼

To provide code context to an AI model, you bundle prompts and selected files into a single request. This enables the AI to process repository context for accurate and context-aware responses.

What is the best way to bundle source files and error logs for AI debugging?▼

The best way to bundle source files and error logs is by combining your debugging prompt with the relevant files into one request. This allows the AI to analyze the context and pinpoint complex problems effectively.

Can I preview the token count before sending files and prompts to an AI?▼

Yes, you can preview the token count before sending files and prompts to an AI. You can check the token count for a specific task and directory, such as refactoring a user service with all files in the src directory.

Does this file bundling approach work with both API and browser automation?▼

Yes, this code context bundling approach supports both API and browser automation. This allows you to perform tasks requiring in-depth code understanding and analysis through your preferred interaction method.

Why do I need to manually select files when prompting an AI for code analysis?▼

You need to manually select files when prompting an AI because specific file selection and prompt engineering are required for optimal results. This ensures the AI only processes the relevant repository context.