How do I install the Eso Pediatric Obesity Bmi Monitoring skill?

Run npx skillmds@latest add dromlakhani/eso-pediatric-obesity-bmi-monitoring in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Eso Pediatric Obesity Bmi Monitoring safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Eso Pediatric Obesity Bmi Monitoring?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Eso Pediatric Obesity Bmi Monitoring free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Eso Pediatric Obesity Bmi Monitoring?

dromlakhani (@dromlakhani) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Eso Pediatric Obesity Bmi Monitoring by dromlakhani

Name: Eso Pediatric Obesity Bmi Monitoring
Rating: 4.5 (4 reviews)
Author: dromlakhani

Eso Pediatric Obesity Bmi Monitoring

The skill calculates, plots, and reviews a child's BMI percentile at least once per year during well-child or sick-child visits. It triggers when a pediatric patient presents for routine health supervision or acute care, prompting BMI assessment and longitudinal tracking.

dromlakhani Updated Sep 8, 2026 10 repo stars

File contents

Monitor BMI percentile annually in pediatric patients

STEP 1 — Gather Information

Collect weight (kg), height (cm or m), age (years), and sex; calculate BMI = weight (kg) / [height (m)]^2; determine BMI percentile using CDC growth charts for age and sex.

STEP 2 — Rule In / Rule Out

Is the patient ≥ 2 years of age? If yes, proceed to BMI percentile classification; if < 2 years, use WHO weight-for-length percentile and assess for obesity if ≥97.7th percentile (outside BMI scope).

STEP 3 — Classify or Stratify

Classify BMI percentile: <5th percentile = underweight; 5th to <85th = healthy weight; 85th to <95th = overweight; ≥95th = obese; ≥120% of 95th percentile or ≥35 kg/m2 = extremely obese.

STEP 4 — Decide

If overweight or obese, evaluate for comorbidities per guideline Table 2; if healthy weight, continue annual BMI monitoring; if underweight, assess for growth failure or nutritional deficiency.

Clinical Guardrails / Mimics / Pitfalls

Do not use adult BMI cutoffs; do not skip age/sex adjustment; avoid visual estimation without plotting; do not rely on a single measurement without longitudinal trend; remember BMI may misclassify muscular children; consider race/ethnicity variations in adiposity-BMI relationship.

Concrete Clinical Example

A 10‑year‑old boy weighs 45 kg and is 1.40 m tall; BMI = 22.9 kg/m2, CDC percentile ≈ 88th (overweight). Plan: order fasting lipid panel, ALT, and blood pressure screening per Table 2.

Source: Pediatric Obesity Assessment, Treatment, and Prevention: An Endocrine Society Clinical Practice Guideline, Endocrine Society, 2017, DOI:10.1210/jc.2016-2573

TODO: consider adding scripts/calc.py for the eso-pediatric-obesity-bmi-monitoring calculator

---name: eso-pediatric-obesity-bmi-monitoringdescription: The skill calculates, plots, and reviews a child's BMI percentile at least once per year during well-child or sick-child visits. It triggers when a pediatric patient presents for routine health supervision or acute care, prompting BMI assessment and longitudinal tracking.---# Monitor BMI percentile annually in pediatric patients## STEP 1 — Gather InformationCollect weight (kg), height (cm or m), age (years), and sex; calculate BMI = weight (kg) / [height (m)]^2; determine BMI percentile using CDC growth charts for age and sex.## STEP 2 — Rule In / Rule OutIs the patient ≥ 2 years of age? If yes, proceed to BMI percentile classification; if < 2 years, use WHO weight-for-length percentile and assess for obesity if ≥97.7th percentile (outside BMI scope).## STEP 3 — Classify or StratifyClassify BMI percentile: <5th percentile = underweight; 5th to <85th = healthy weight; 85th to <95th = overweight; ≥95th = obese; ≥120% of 95th percentile or ≥35 kg/m2 = extremely obese.## STEP 4 — DecideIf overweight or obese, evaluate for comorbidities per guideline Table 2; if healthy weight, continue annual BMI monitoring; if underweight, assess for growth failure or nutritional deficiency.## Clinical Guardrails / Mimics / PitfallsDo not use adult BMI cutoffs; do not skip age/sex adjustment; avoid visual estimation without plotting; do not rely on a single measurement without longitudinal trend; remember BMI may misclassify muscular children; consider race/ethnicity variations in adiposity-BMI relationship.## Concrete Clinical ExampleA 10‑year‑old boy weighs 45 kg and is 1.40 m tall; BMI = 22.9 kg/m2, CDC percentile ≈ 88th (overweight). Plan: order fasting lipid panel, ALT, and blood pressure screening per Table 2.**Source:** Pediatric Obesity Assessment, Treatment, and Prevention: An Endocrine Society Clinical Practice Guideline, Endocrine Society, 2017, DOI:10.1210/jc.2016-2573> **TODO:** consider adding scripts/calc.py for the eso-pediatric-obesity-bmi-monitoring calculator

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