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DataShell

Weight Loss Analyzer

by huifer

Weight Loss Analyzer is a Data skill for Claude Code, published by huifer in WellAlly-health.

932 stars121 forkson huifer/WellAlly-healthAdded 2026/08/22Repository updated 2026/07/16
claudeclaude-codehealthhealth-data
Install in seconds
Install Weight Loss Analyzer
Copy Weight Loss Analyzer into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/huifer/WellAlly-health/tree/main/skills/weightloss-analyzer ~/.claude/skills/weightloss-analyzer

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/huifer/WellAlly-health.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/weightloss-analyzer/SKILL.md in huifer/WellAlly-health
Installs to
~/.claude/skills/weightloss-analyzer
Collection
One of 19 skills cataloged from this repository
Category
Data668 skills

What Weight Loss Analyzer does

Weight Loss Analyzer computes BMI, body composition, BMR, TDEE, and calorie deficits from weight-loss data. Use it to assess progress, estimate safe fat loss, and detect plateaus or maintenance phases.

Weight Loss Analyzer is cataloged under Data on DirSkills. Weight Loss Analyzer comes from a repository tagged claude, claude-code, health and health-data.

Documentation

README

减肥分析技能

分析减肥数据,计算代谢率,追踪能量缺口,管理减肥阶段。

功能

1. 身体成分分析

BMI计算与分类

  • BMI = 体重(kg) / 身高(m)²
  • 分类标准(WHO亚洲标准):
    • 偏瘦:BMI < 18.5
    • 正常:18.5 ≤ BMI < 24
    • 超重:24 ≤ BMI < 28
    • 肥胖:BMI ≥ 28

体脂率评估

  • 男性:15-20%(正常),20-25%(偏高),>25%(肥胖)
  • 女性:20-25%(正常),25-30%(偏高),>30%(肥胖)

围度分析

  • 腰围评估
    • 男性:< 90cm(正常),≥ 90cm(腹部肥胖)
    • 女性:< 85cm(正常),≥ 85cm(腹部肥胖)
  • 腰臀比
    • 男性:< 0.9(正常),≥ 0.9(腹部肥胖)
    • 女性:< 0.85(正常),≥ 0.85(腹部肥胖)

理想体重计算

  • BMI法:理想体重 = 身高(m)² × 22
  • Broca法修正:理想体重 = (身高cm - 100) × 0.9

2. 代谢率计算

Harris-Benedict公式(1919原始版)

  • 男性:BMR = 88.362 + (13.397 × 体重kg) + (4.799 × 身高cm) - (5.677 × 年龄)
  • 女性:BMR = 447.593 + (9.247 × 体重kg) + (3.098 × 身高cm) - (4.330 × 年龄)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Weight Loss Analyzer

  • What else does huifer publish alongside Weight Loss Analyzer?

    Weight Loss Analyzer is one of 19 skills that DirSkills catalogs from huifer/WellAlly-health, the repository it ships in. Its siblings there include AI Health Analyzer, Emergency Card and Family Health Analyzer. Each one is a separate skill with its own page in this directory, installs the same way Weight Loss Analyzer does, and is maintained by huifer in that same repository. The rest of the collection is listed on the huifer/WellAlly-health page.

  • How does Weight Loss Analyzer compare to other Data skills?

    Weight Loss Analyzer ranks #479 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Weight Loss Analyzer against them. Open each page to compare what they document and how they install.

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