clawcoach-food

What This Skill Does

ClawCoach Food is an intelligent nutritional logging skill for OpenClaw that automates meal tracking through vision analysis and natural language processing. By leveraging Claude Vision, the skill identifies food items from photos, estimates portions, and calculates comprehensive macro-nutritional data (calories, protein, fat, and carbohydrates). The skill maintains a persistent food diary in ~/.clawcoach/food-log.json, allowing users to keep an accurate record of their daily intake. It automatically detects meal types based on the time of day, but provides full flexibility for manual overrides, edits, and deletions. By simplifying the friction of data entry, it makes consistent dietary tracking effortless.

Installation

To integrate this skill into your OpenClaw agent, execute the following command in your terminal: clawhub install openclaw/skills/skills/authoredniko/clawcoach-food

Use Cases

This skill is ideal for individuals pursuing fitness, weight management, or general health tracking goals. It excels in scenarios where users want to track macros without the tedium of manual database searches. Use it to log restaurant meals by snapping a photo, track homemade meals via text description, or audit your daily consumption to ensure it aligns with your health objectives. The skill is specifically designed to handle 'confirmation flows', ensuring that every log is verified by the user before finalization.

Example Prompts

1. [User sends a photo of a bowl of oats] 'Hey Claw, can you log this as my breakfast and tell me the macros?'
2. 'I just ate 6oz of grilled chicken and a side of broccoli, log that for me.'
3. 'Delete the lunch entry I just logged; I actually didn't finish the rice.'

Tips & Limitations

• Be Specific: When describing food via text, include portion sizes (e.g., 'half a cup') for better accuracy.
• Image Quality: Ensure photos are clear and well-lit so Claude Vision can accurately identify items.
• Manual Corrections: If the AI's estimate seems off, simply reply with a correction, and the skill will recalculate the totals automatically.
• Limitations: Nutritional estimates are based on general database knowledge and may vary from specific product labels. Always verify if precise medical-grade accuracy is required.