learn-about-omc

Analyzes OCP OData API responses and generates TypeScript classes.

2|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/chanhee-kang/oh-my-gemini --skill learn-about-omc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learn-about-omc
Source: https://github.com/chanhee-kang/oh-my-gemini/tree/main/skills/learn-about-omc
Command: npx skills add https://github.com/chanhee-kang/oh-my-gemini --skill learn-about-omc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill analyzes your OMC usage by reading local state data and session histories to deliver personalized recommendations that optimize your Gemini workflows.

Core Features & Use Cases

  • Usage analysis: Reads token-tracking data and session history to identify patterns and underutilized features.
  • Personalized recommendations: Generates tailored configuration tweaks and workflow improvements to reduce token waste.
  • Use Case: A developer wants to streamline Gemini CLI usage and optimize agent assignments based on actual historical data.

Quick Start

Run the analysis to generate a personalized recommendations report. The skill reads data from ~/.omc/state/token-tracking.jsonl, ~/.omc/state/session-history.json, and configuration from ~/.gemini-cli/.omc-config.json to tailor recommendations.

Frequently Asked Questions about learn-about-omc

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

FAQPage Schema
How do I analyze my Gemini CLI usage data to improve my workflow?

You can analyze your Gemini usage by reading local state data and session histories to receive personalized recommendations that optimize your workflows, reduce token waste, and suggest configuration tweaks.

What is the best way to reduce token waste when using local development environments?

The best way to reduce token waste is by analyzing historical token-tracking data and session history to identify usage patterns, which allows you to generate tailored configuration tweaks and workflow improvements.

Does my Gemini configuration need specific local files to provide usage recommendations?

Yes, generating usage recommendations requires reading local files including token-tracking.jsonl, session-history.json, and configuration data from the .omc-config.json file in your local environment.

Can I optimize agent assignments based on my actual session history data?

Yes, you can optimize agent assignments by analyzing session history and token-tracking data, which identifies underutilized features and generates tailored configuration changes to streamline your workflows.

Why should I analyze historical OMC usage data instead of manually adjusting my configuration?

Analyzing historical OMC usage data provides personalized recommendations based on actual patterns rather than guesswork, enforcing tailored report generation that identifies underutilized features and suggests specific optimizations.