oracle

Integrate Oracle engine AI into CLI workflows for prompt and file handling.

Updated Feb 18, 2026
One-click install
npx skills add https://github.com/ClaudioCeppi83/kora-os-kernel --skill oracle-claudioceppi83
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/ClaudioCeppi83/kora-os-kernel/tree/main/engines/openclaw/skills/oracle
Command: npx skills add https://github.com/ClaudioCeppi83/kora-os-kernel --skill oracle-claudioceppi83

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @steipete/oracle, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of integrating AI insights into your workflow by automating the process of prompting, executing, and interpreting responses from the Oracle engine.

Core Features & Use Cases

  • CLI Integration: Leverages the Oracle CLI for prompt + file bundling, engines, sessions, and file attachment patterns.
  • One-Shot Request Handling: Packages prompts and files into a single request for models like GPT-5.2 Pro, streamlining complex tasks.
  • Use Case: Quickly review and analyze source code, offering recommendations for improvements based on context-aware analysis.

Quick Start

To initiate a query with the oracle skill, run: oracle --engine browser --model gpt-5.2-pro -p "Review this code segment for efficiency" --file "src/index.ts"

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I integrate AI insights into CLI workflows for code analysis?

AI integration into CLI workflows uses the Oracle engine to automate prompting, file attachment, and multi-model query handling for context-aware code analysis. It packages prompts and files into single requests to streamline software engineering tasks.

Do I need to install the Oracle CLI to manage prompts and attach source files?

Yes, installing the Oracle CLI and associated packages like @steipete/oracle is required to manage prompts, execute engines, handle sessions, and attach files for one-shot AI requests.

What is the best way to review source code for efficiency using an AI engine?

Reviewing source code with an AI engine is best handled by bundling the prompt and target file into a one-shot request, allowing models like GPT-5.2 Pro to analyze the segment and return context-aware improvement recommendations.

Can I use a single request to handle prompts and file attachments for multi-model queries?

Yes, one-shot request handling packages your prompt and attached files into a single request for multi-model query handling, streamlining complex software engineering tasks without needing multiple separate commands.

Does the Oracle engine support session management for continuous code analysis?

The Oracle engine supports session management alongside prompt and file bundling, allowing you to maintain context across multiple queries for ongoing code analysis and collaborative AI-based suggestions.

What are the limitations of using one-shot requests for AI code analysis in the CLI?

One-shot requests package prompts and files into a single execution, meaning complex multi-step reasoning may require session management to maintain context, and you must ensure the attached file sizes fit within the model's context window.