learn-about-omc

Analyze oh-my-claudecode usage patterns and recommend workflow improvements.

Updated Feb 20, 2026
One-click install
npx skills add https://github.com/ssccio/cc-on-web-base --skill learn-about-omc-ssccio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learn-about-omc
Source: https://github.com/ssccio/cc-on-web-base/tree/main/skills/learn-about-omc
Command: npx skills add https://github.com/ssccio/cc-on-web-base --skill learn-about-omc-ssccio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq.

What problem does it solve?

It helps you understand how you use oh-my-claudecode (OMC) so you can stop wasting tokens and workflows on features you rarely use.

Core Features & Use Cases

  • Personalized usage analysis: Reads token tracking and session history to quantify which agents and models you actually use.
  • Underutilized feature detection: Identifies missing or low-usage capabilities (for example, ecomode, pipeline, or security-focused reviewers) based on your observed patterns.
  • Actionable recommendations: Produces targeted configuration and workflow suggestions tailored to what your usage data reveals.

Quick Start

Ask the AI to run an OMC usage analysis and produce a recommendations report based on your local token tracking and session history.

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 oh-my-claudecode usage patterns to identify token inefficiencies?

To analyze oh-my-claudecode usage patterns, you can read local OMC token tracking and session history files to compute usage distributions and output a structured summary with targeted workflow recommendations.

What is oh-my-claudecode configuration tuning and when do I need it?

Oh-my-claudecode configuration tuning is the process of adjusting agents and models based on usage analytics. You need it when token tracking reveals underutilized features like ecomode or pipeline in your daily coding sessions.

How do I detect underutilized agents and models in my OMC sessions?

You detect underutilized OMC agents and models by computing usage distributions from session history files. This reveals low-usage capabilities and produces targeted configuration suggestions for workflow optimization.

Do I need jq installed to generate an OMC usage analytics report?

Yes, you need jq installed as a dependency to process the local token tracking files. It parses the JSON data required to compute your agent and model usage distributions for the recommendations report.

What's the best way to stop wasting tokens on unused oh-my-claudecode features?

The best way to stop wasting OMC tokens is to run a usage analysis that reads your session history, identifies underutilized capabilities like security-focused reviewers, and outputs actionable configuration tuning recommendations.

Can I review agent recommendations and model usage reporting for daily coding automation sessions?

Yes, you can review agent recommendations and model usage reporting by analyzing your OMC session history. This quantifies which agents you actually use and detects missing capabilities in your automation sessions.