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meal-logging

Analyze food images, calculate macros, log via Gemini in Sheets, verify entries, and send SMS confirmations.

Skill by Mohit5Upadhyay

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/mohit5upadhyay-meal-logging

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Analyze food images, calculate macros, log via Gemini in Sheets, verify entries, and send SMS confirmations.

Use cases: spreadsheets

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/meal-logging

What's inside

Skill name
meal-logging
Description
Analyze food images, calculate macros, log via Gemini in Sheets, verify entries, and send SMS confirmations.
License
MIT
Instructions
146 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (2)

  • SKILL.md
  • log_meal.py · scripts/

SKILL.md (first lines)

# Meal Logging via Gemini

Analyze food photos, calculate nutritional data, log to Google Sheets using Gemini, and confirm via SMS.

## Vision Analysis Workflow

When user sends food photo:

1. **Analyze Image**: Identify food items, estimate portions using visual cues (hand size, plate size, common containers)

2. **Calculate Macros**: For each identified food:
   - Calories (kcal)
   - Protein (g)
   - Carbohydrates (g)
   - Fat (g)
   - Sum totals for the meal

3. **Assess Metabolic Impact**:
   - Thermic effect: High for protein, moderate for carbs, low for fat
   - Glycemic load: Estimate based on carb type and quantity
   - Satiety index: Predict fullness duration

## Gemini-Based Logging (PRIMARY METHOD)

**CRITICAL**: Use Gemini for ALL sheet operations. Do NOT manually navigate cells.

### Step 1: Log to Local Database
```sh
python3 "$HERMES_HOME/skills/meal-logging/scripts/log_meal.py" add \
  --meal "Grilled Chicken Salad" \
  --meal-type lunch \
  --calories 450 --protein 42 --carbs 28 --fat 16 \
  --insight "High protein, low glycemic, excellent thermic effect"
```

Returns meal_id for verification later.

### Step 2: Open Sheet and Activate Gemini
1. Get sheet URL from profile:
   ```sh
   python3 "$HERMES_HOME/skills/metabolix-profile/scripts/profile.py" get-sheet
   ```
2. Use Latch browser to navigate to sheet URL
3. Click Gemini icon (sparkle ✨) in sidebar or top-right
4. If Gemini not visible:
   - Try "Help me organize" button
   - Or Extensions menu → Gemini
   - Wait 2-3 seconds for panel to load

### Step 3: Send Data to Gemini
Use this EXACT format:

```
Add to Log sheet:
Meal: Grilled Chicken Salad
Calories: 450
Protein: 42g
Carbs: 28g
Fat: 16g
Insight: High protein, low glycemic, excellent thermic effect
```

### Step 4: Let Gemini Work
Gemini will automatically:
- Add new row with current timestamp
- Input all data in correct columns
- Update Dashboard charts (calories line chart, macro pie chart)
- Apply conditional formatting (green/yellow/red based on targets)
- Recalculate summary cards

Wait 3-5 seconds for completion.

### Step 5: Verify Entry
1. Navigate to "Dashboard" tab
2. Check that:
   - Total Meals count increased
   - Avg Calories updated
   - Line chart has new data point
   - Pie chart reflects new macros
3. Note the row number from "Log" sheet

### Step 6: Mark as Verified
```sh
python3 "$HERMES_HOME/skills/meal-logging/scripts/log_meal.py" mark-verified \
  --id [meal_id_from_step1] --row [row_number_from_sheet]
```

### Step 7: Send SMS Confirmation
Format:
```
Grilled Chicken Salad Logged.
🔥 450 kcal | 🍗 42g Pro | 🍞 28g Carb | 🥑 16g Fat

Remaining Budget: 1250 kcal | 58g Protein needed.
Insight: High protein meal, excellent thermic effect. On track for daily target.
```

Attach screenshot of updated Dashboard tab showing new data point.

## Manual Fallback (ONLY IF GEMINI COMPLETELY FAILS)

If Gemini is unavailable after 2-3 attempts:

1. Navigate to "Log" sheet manually
2. Scroll to last row
3. Click next empty row
4. Manually enter: Timestamp | Meal | Calories | Protein | Carbs | Fat | Insight
5. Charts should auto-update via formulas
6. Verify and mark verified
7. Report to user: "Gemini unavailable, used manual logging"

## Daily Summary

```sh
# Get today's summary
python3 "$HERMES_HOME/skills/meal-logging/scripts/log_meal.py" summary-today
```

Returns:

From Mohit5Upadhyay/metabolix, MIT.

Signals

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Forks
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Last commit (this folder)
Sep 16, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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meal-logging skill. Agent Mart. https://agentmart.dev/skills/mohit5upadhyay-meal-logging (last updated 2026-10-24)