oracle

Bundle prompts and selected files into a single-context request for browser or API workflows.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/fufuonline/openclaw --skill oracle-fufuonline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/fufuonline/openclaw/tree/main/skills/oracle
Command: npx skills add https://github.com/fufuonline/openclaw --skill oracle-fufuonline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bundling prompts and repository context into a single, reusable request lets AI models answer with code awareness and accurate context, reducing back-and-forth and improving accuracy.

Core Features & Use Cases

  • Attaches your task prompt and relevant files to create a context-rich prompt for code review, documentation drafting, architecture guidance, and debugging.
  • Supports engine choices (browser or API), session persistence, and file-scoped workflows to reattach to long-running investigations.
  • Provides safety and operational guidance for file handling, session tokens, and attachment management.

Quick Start

Provide a task description and attach relevant files with oracle to receive context-rich, code-aware results.

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I bundle prompts and repository files into a single AI request?

You bundle prompts and selected files into a single-context request to provide AI models with repository context. This reduces back-and-forth by allowing the model to answer with code awareness and accurate file context.

What is the best way to provide AI models with repository context for code review?

The best way to provide repository context is bundling prompts and selected files into a single-context request. This technique ensures models receive code awareness for tasks like code review, documentation drafting, and architecture guidance.

Can I use a browser or API engine mode for AI prompt bundling?

Yes, you can use either a browser or API engine mode for prompt bundling. The workflow applies to both browser and API environments, allowing you to choose your preferred engine for context-rich code analysis.

Does prompt bundling support session management for long-running code investigations?

Yes, prompt bundling supports session management with slugging and dry-run options. This enables file-scoped workflows to reattach to long-running code investigations and maintain session persistence.

How do I manage file selection and attachments when bundling context for AI?

You manage file selection by attaching relevant files to your task prompt, creating a context-rich request. The workflow provides safety and operational guidance for file handling, session tokens, and attachment management.

When should I use a dry-run option for AI context bundling?

Use the dry-run option during context bundling to test file selection and session slugging before sending the request. This ensures safe file handling and validates your attached repository context.