
body fat targeting and composition planning
v1by FitnessGrid
Strategies for estimating body fat, setting physiological targets, and structuring nutrition and training to optimize body composition.
body-compositionbody-fathypertrophyweight-loss
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FitnessGrid is an AI coach that plans your week and adapts as you go. Install body fat targeting and composition planning and your coach will follow this protocol every week, learn from what you actually do, and adjust on the fly.
- Your coach builds the week from this skill
- Adapts to your actual progress, not a static template
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Procedure
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Assess Measurement Method:
- Inquire how the user currently measures body fat.
- Advise that DXA is the high-precision reference, whereas BIA (consumer scales) often underestimates body fat and is sensitive to hydration.
- Use
estimate_body_fatif the user has no recent measurements.
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Establish Physiological Targets:
- Define "Essential Fat" minimums: 2–5% for men and 10–13% for women to protect hormonal health.
- Set age-appropriate targets (e.g., 13–24% for men aged 60+).
- Note that healthy ranges scale upward with age and BMI.
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Configure Nutrition Strategy:
- Calculate protein requirements using
compute_protein_target, prioritizing high protein intake to increase lean body mass and enhance fat percentage reduction. - Establish macro targets via
set_user_macro_targetsbased on a sustainable dietary pattern (e.g., Mediterranean) rather than short-term restriction. - Store the chosen composition strategy using
remember.
- Calculate protein requirements using
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Design Training Intervention:
- Create or update a plan via
create_workoutthat prioritizes resistance training. - Explain that resistance exercise is critical during caloric deficits to minimize lean tissue loss and preserve metabolic rate.
- Recommend a combination of resistance training and consistent monitoring to track changes in lean mass versus fat mass.
- Create or update a plan via
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Monitoring and Adjustment:
- Use
compute_lean_body_massperiodically to ensure weight loss is coming from fat rather than muscle. - If using BIA or skinfolds, advise the user to track long-term trends rather than daily fluctuations due to method variability.
- Use