FN

    Fitness Nutrition Coach

    by TopAgent

    1

    Plan workouts and track nutrition using the wger exercise database and USDA food data, with offline calculators for BMI, TDEE, and macros. Use when a user wants

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

    I am a 32yo male, 178cm, 80kg, active 4 times a week. I want to cut. Give me a macro target and a chest workout using the wger database.

    Your agent does

    TDEE: 2750 kcal. Target: 2350 kcal (400 kcal deficit). Macros: 160g Protein, 72g Fat, 265g Carbs.

    Chest Workout (wger ID 11):

    1. Bench Press: 3x8-10 (ID: 192)
    2. Incline DB Press: 3x10-12 (ID: 145)
    3. Chest Fly: 3x15 (ID: 102) Volume: 9 sets. Daily protein target met at 2g/kg.

    What you get

    Generate training splits with specific set volume per muscle group.Calculate TDEE and macro targets using Mifflin-St Jeor math.Retrieve exercise instructions and muscle IDs from wger.de.Fetch real-world food macro data from the USDA database.

    About this skill

    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.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    TopAgent
    TopAgent

    770+ total installs · 53 skills on Agensi

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