request-intelligence

Request code analysis and pattern discovery from the Omni Archon intelligence adapter.

3|1|Updated Oct 9, 2025
One-click install
npx skills add https://github.com/OmniNode-ai/omniclaude --skill request-intelligence
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: request-intelligence
Source: https://github.com/OmniNode-ai/omniclaude/tree/main/plugins/onex/skills/intelligence/request-intelligence
Command: npx skills add https://github.com/OmniNode-ai/omniclaude --skill request-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates complex code analysis and pattern discovery, providing deep insights into code quality, compliance, and potential issues without manual review.

Core Features & Use Cases

  • Pattern Discovery: Identifies reusable code patterns across your codebase.
  • Code Analysis: Assesses code for quality, adherence to standards, and potential bugs.
  • Quality Assessment: Evaluates code against ONEX compliance rules and metrics.
  • Use Case: Automatically analyze a Python module for common anti-patterns and assess its compliance with project coding standards.

Quick Start

Request a code analysis for the file 'src/utils.py' in Python.

Frequently Asked Questions about request-intelligence

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

FAQPage Schema
How do I automate code analysis and pattern discovery for a Python module?

Automated code analysis discovers reusable patterns and assesses quality by requesting intelligence operations on inline content or file paths. It evaluates Python modules against compliance rules and coding standards without manual review.

What is AI-driven pattern discovery and how does it assess code quality?

AI-driven pattern discovery identifies reusable code structures across a codebase. It assesses code quality by evaluating files against ONEX compliance rules and metrics, highlighting potential bugs and adherence to standards.

Can I use Kafka for asynchronous event emission during code quality assessment?

Yes, you can use Kafka with code quality assessment operations. The process integrates with Kafka to emit asynchronous events and track correlations, allowing you to handle analysis results without blocking execution.

Does the code analysis support inline content and configurable timeouts?

Yes, code analysis supports both inline content and file path inputs. You can configure timeouts and specify metric inclusion to tailor the quality assessment and pattern discovery operations to your environment.

What's the best way to evaluate code against ONEX compliance rules?

The best way to evaluate code against ONEX compliance rules is to request a quality assessment operation. This automatically checks your specified files or inline content against the configured metrics and compliance standards.