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.