oracle

Bundle prompts with selected files for repository context in one request.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/Jnuso/OpenClaw --skill oracle-jnuso
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/Jnuso/OpenClaw/tree/main/skills/oracle
Command: npx skills add https://github.com/Jnuso/OpenClaw --skill oracle-jnuso

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Oracle helps developers get contextual model assistance by bundling prompts with the relevant files and repository context, eliminating missing-file gaps in AI responses.

Core Features & Use Cases

  • Bundled prompts with selected files to create a single, context-rich request.
  • Flexible engines and session management for browser and API workflows.
  • Guidance on attaching files, managing sessions, and interpreting model outputs.

Quick Start

Run oracle with a task and attach the relevant project files to create a contextual request.

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I bundle prompts with files to get contextual code review answers?

To bundle prompts with files, you attach selected project files to your request, creating a single context-rich submission. This provides the model with necessary repository context for accurate code reviews.

Does prompt-bundling work with both browser and API engines?

Prompt-bundling works with both browser and API engines. You must explicitly select your preferred engine during request setup to ensure the bundled files are processed correctly.

How do I manage sessions to preserve file context across multiple runs?

Session management preserves file context across runs by maintaining a continuous session state. This requires explicit session configuration before executing your bundled prompt requests.

Can I use repository context for design decisions and documentation drafting?

You can use repository context for design decisions and documentation drafting. Bundling prompts with relevant files ensures the model understands your project structure across local and remote environments.

Why does my model response lack file context during code analysis?

Model responses lack file context when prompts are submitted without explicit file attachments. You must bundle prompts with selected files to eliminate missing-file gaps in analysis.

What is the best way to provide repository context in a single AI request?

The best way to provide repository context is bundling prompts with selected files into one request. This approach applies to code reviews and documentation drafting across local and remote environments.