Fitness Nutrition Coach

The problem

Building effective fitness plans is tedious. Calculating precise TDEE, matching macro ratios to body weight, and sourcing valid exercises from fragmented databases often results in generic or inaccurate advice.

What it does

• Calculates BMR and TDEE using Mifflin-St Jeor formulas with specific activity multipliers.
• Sets protein, fat, and carb targets based on body weight (g/kg) and specific goals like hypertrophy or fat loss.
• Queries the wger exercise database to build training splits based on muscle IDs and equipment.
• Searches the USDA FoodData Central API to provide real nutritional values and meal suggestions.
• Balances weekly set volume to ensure muscle groups stay within the 10 to 20 set growth range.

Frameworks & tools

wger API, USDA FoodData Central API, and curl.

Why this beats prompting it yourself

Most LLMs hallucinate nutritional data or suggest exercises that don't exist. This skill forces the agent to use validated math and live database queries, ensuring caloric targets and exercise instructions are grounded in real data.

Use cases

• Generating a 4 day push-pull-legs split for a 90kg male aiming for hypertrophy.
• Calculating a 400 calorie deficit plan with high protein macros for fat loss.
• Finding the exact macro breakdown of 200g of Greek yogurt and matching it to a daily target.
• Creating a workout plan limited to specific equipment by filtering wger exercise IDs.

Known limitations

Not for medical diet therapy or diagnosed conditions. Cannot perform form critiques from images or videos.