MCP App StoreMCP App StoreThis skill ingests body composition measurements (weight, body fat %, muscle mass, visceral fat, circumferences) and produces parsed, validated entries, trend analysis, and goal-based recommendations. It calculates indices like BMI and WHR, classifies body fat and health risk, and generates a 0–100 composition score to summarise progress. Useful for logging single measurements or producing periodic progress reports with concrete advice.
Trigger when a user supplies body metrics (scale, DEXA, BIA, or tape measurements), asks for a progress report, or needs guidance on interpreting body fat, BMI, WHR, or DEXA output. Also used when the agent should flag rapid weight loss, low body fat risks, or recommend nutrition and training adjustments.
Designed for general-purpose assistant agents that can read/write files and perform numeric analysis (Claude Code-style or GPT-based assistants with file I/O). Compatible with agents that can present formatted markdown reports and store daily/longitudinal tracker files.
A comprehensive body composition analysis skill covering measurement recording, classification (ACE body fat, WHO BMI, WHR), trend analysis, goal-based recommendations, and a composite health score. No bundled scripts — purely instructional via SKILL.md. Well-structured with safety alerts for extreme values and medical disclaimers, though dense text blocks may challenge agent parsing.
Purely content-based skill with no executable scripts. Comprehensive medical disclaimers and safety alerts are a positive. The composite score formula and classification tables are well-defined. Data persistence model uses daily markdown files which is consistent with agent skill conventions but stores sensitive health data unencrypted.
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