WHO Growth Charts

**Judgement:** A solid, technically sound skill for generating WHO-based growth charts (height, weight, BMI) with percentile curves and child data overlays. Well-suited for data visualization and reporting, particularly when combined with other data-source skills. **Key strengths:** - Uses official WHO reference data downloaded from WHO’s CDN and cached locally, improving accuracy and reproducibility. - Covers key growth metrics (height-for-age, weight-for-age, BMI-for-age) over clinically relevant age ranges for both sexes. - Accepts structured JSON measurement data and can be integrated into automated workflows (e.g., with withings-family). **Risks / limitations:** - The skill produces charts but does not interpret them; an agent must avoid treating outputs as medical diagnosis or individualized clinical advice. - Requires Python dependencies (pandas, matplotlib, scipy, openpyxl) and network access to WHO’s CDN on first use; failures there can break chart generation if caching has not yet occurred. - CLI- and script-oriented interface; not a high-level domain API, so agents must carefully construct arguments and data files. **Recommended scenarios:** - Generating WHO growth charts for pediatric visits, research, or documentation when a clinician or informed user will interpret the results. - Supporting parents or caregivers who provide measurement data, with the assistant clearly framing charts as informational and encouraging professional medical consultation for interpretation. - Automated workflows that periodically fetch body measurements (e.g., from Withings devices) and output updated WHO growth charts for longitudinal tracking.