Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add Yeachan-Heo/oh-my-claudecode --skill "learn-about-omc"
Install specific skill from multi-skill repository
# Description
Analyze your OMC usage patterns and get personalized recommendations
# SKILL.md
name: learn-about-omc
description: Analyze your OMC usage patterns and get personalized recommendations
Learn About OMC
Analyzes your oh-my-claudecode usage and provides tailored recommendations to improve your workflow.
What It Does
- Reads token tracking from
~/.omc/state/token-tracking.jsonl - Reads session history from
.omc/state/session-history.json - Analyzes agent usage patterns
- Identifies underutilized features
- Recommends configuration changes
Implementation
Step 1: Gather Data
# Check for token tracking data
TOKEN_FILE="$HOME/.omc/state/token-tracking.jsonl"
SESSION_FILE=".omc/state/session-history.json"
CONFIG_FILE="$HOME/.claude/.omc-config.json"
echo "📊 Analyzing OMC Usage..."
echo ""
# Check what data is available
HAS_TOKENS=false
HAS_SESSIONS=false
HAS_CONFIG=false
if [[ -f "$TOKEN_FILE" ]]; then
HAS_TOKENS=true
TOKEN_COUNT=$(wc -l < "$TOKEN_FILE")
echo "Token records found: $TOKEN_COUNT"
fi
if [[ -f "$SESSION_FILE" ]]; then
HAS_SESSIONS=true
SESSION_COUNT=$(cat "$SESSION_FILE" | jq '.sessions | length' 2>/dev/null || echo "0")
echo "Sessions found: $SESSION_COUNT"
fi
if [[ -f "$CONFIG_FILE" ]]; then
HAS_CONFIG=true
DEFAULT_MODE=$(cat "$CONFIG_FILE" | jq -r '.defaultExecutionMode // "not set"')
echo "Default execution mode: $DEFAULT_MODE"
fi
Step 2: Analyze Agent Usage (if token data exists)
if [[ "$HAS_TOKENS" == "true" ]]; then
echo ""
echo "TOP AGENTS BY USAGE:"
cat "$TOKEN_FILE" | jq -r '.agentName // "main"' | sort | uniq -c | sort -rn | head -10
echo ""
echo "MODEL DISTRIBUTION:"
cat "$TOKEN_FILE" | jq -r '.modelName' | sort | uniq -c | sort -rn
fi
Step 3: Generate Recommendations
Based on patterns found, output recommendations:
If high Opus usage (>40%) and no ecomode:
- "Consider using ecomode for routine tasks to save tokens"
If no pipeline usage:
- "Try /pipeline for code review workflows"
If no security-reviewer usage:
- "Use security-reviewer after auth/API changes"
If defaultExecutionMode not set:
- "Set defaultExecutionMode in /omc-setup for consistent behavior"
Step 4: Output Report
Format a nice summary with:
- Token summary (total, by model)
- Top agents used
- Underutilized features
- Personalized recommendations
Graceful Degradation
If no data found:
📊 Limited Usage Data Available
No token tracking found. To enable tracking:
1. Ensure ~/.omc/state/ directory exists
2. Run any OMC command to start tracking
Tip: Run /omc-setup to configure OMC properly.
Example Output
📊 Your OMC Usage Analysis
TOKEN SUMMARY:
- Total records: 1,234
- By Model: opus 45%, sonnet 40%, haiku 15%
TOP AGENTS:
1. executor (234 uses)
2. architect (89 uses)
3. explore (67 uses)
UNDERUTILIZED FEATURES:
- ecomode: 0 uses (could save ~30% on routine tasks)
- pipeline: 0 uses (great for review workflows)
RECOMMENDATIONS:
1. Set defaultExecutionMode: "ecomode" to save tokens
2. Try /pipeline review for PR reviews
3. Use explore agent before architect to save context
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.