---
name: learn-about-omd-44f60fda7501
description: Analyze your OMC usage patterns and get personalized recommendations
---

# Learn About OMC

Analyzes your oh-my-droid usage and provides tailored recommendations to improve your workflow.

## What It Does

1. Reads token tracking from `~/.omd/state/token-tracking.jsonl`
2. Reads session history from `.omd/state/session-history.json`
3. Analyzes agent usage patterns
4. Identifies underutilized features
5. Recommends configuration changes

## Implementation

### Step 1: Gather Data

```bash
# Check for token tracking data
TOKEN_FILE="$HOME/.omd/state/token-tracking.jsonl"
SESSION_FILE=".omd/state/session-history.json"
CONFIG_FILE="$HOME/.factory/.omd-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)

```bash
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 /omd-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 ~/.omd/state/ directory exists
2. Run any OMC command to start tracking

Tip: Run /omd-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
```


---
Source attribution: MeroZemory
Original project: https://github.com/MeroZemory/oh-my-droid/blob/0e4d6a1a1e12656d3b0c07517aa4faad67465e80/skills/learn-about-omd/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 Jio Kim

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: MeroZemory
Original project: https://github.com/MeroZemory/oh-my-droid/blob/0e4d6a1a1e12656d3b0c07517aa4faad67465e80/skills/learn-about-omd/SKILL.md
Attribution basis: Source repository record

Fields of work: Marketing
Roles: Growth Marketer, Marketing Analyst, Product Marketer
Specialties: Specialty not specified
Tools: Oh My Droid
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: edc859e8d9416e35be82d221928e2adaa008396d653f8dce30a17904def242d7