About nutrition-analyzer
A skill for analyzing diet and nutrition data to identify intake patterns, assess nutrient status, and suggest dietary improvements. It is intended for nutrition reviews and analyses involving diet trends or exercise, sleep, and chronic-condition data, subject to stated data and medical limits.
Key features
- 01Analyze nutrient intake and diet patterns
- 02Assess macro- and micronutrients
- 03Compare with RDA and other references
- 04Review dietary trends
- 05Relate nutrition to exercise, sleep, or chronic conditions
Use cases
- 01Check nutrient intake against reference values
- 02Identify diet patterns and possible improvements
- 03Analyze changes in diet over time
- 04Review nutrition alongside exercise or sleep data
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ sickn33/ agentic-awesome-skills --skill nutrition-analyzerAfter installing, type/nutrition-analyzerin Claude Code to confirm it loaded.
Bundled filesreferences/detailed-guide.md
Details
From the project README营养分析器技能
分析饮食和营养数据,识别营养模式,评估营养状况,并提供个性化营养改善建议。
Detailed Guide
Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
When to Use
- 需要分析营养摄入、饮食模式或营养素达标情况时使用。
- 任务涉及宏量/微量营养素评估、RDA 对比、饮食趋势或膳食改进建议。
- 需要把营养数据与运动、睡眠或慢性病数据关联分析时使用。
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
数据和医学限制
示例报告、目标、评分与时间表均为虚构教学数据,不是个人营养处方。RDA/AI/UL 必须按权威来源、日期、年龄和生理阶段选择;低于参考值不等于缺乏,超过 RDA 也不等于中毒。数据路径、RDA 常量、评分模型及分析程序未随技能提供,不能声称已运行或验证。记录缺失不能当作零;统一 mg/μg、食物与补充剂来源、份量及热量单位。自定义评分权重与 HEI 不同,且示例营养密度函数的字段与 JSON 不一致,需映射后才可运行;不要输出其临床等级。相关性需要样本数、缺失处理、多重比较与混杂说明。健康记录和报告仅写入用户授权位置,不上传或覆盖原始记录。