food-science
Analyzes food science topics including nutritional composition, food chemistry, food safety hazard analysis, sensory evaluation design, and food processing optimization; trigger when users discuss nutrients, food additives, HACCP, shelf life, or food product development.
Best use case
food-science is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Analyzes food science topics including nutritional composition, food chemistry, food safety hazard analysis, sensory evaluation design, and food processing optimization; trigger when users discuss nutrients, food additives, HACCP, shelf life, or food product development.
Teams using food-science should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/food-science/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How food-science Compares
| Feature / Agent | food-science | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Analyzes food science topics including nutritional composition, food chemistry, food safety hazard analysis, sensory evaluation design, and food processing optimization; trigger when users discuss nutrients, food additives, HACCP, shelf life, or food product development.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
## When to Trigger Activate this skill when the user mentions: - Nutritional analysis, macronutrients, micronutrients, dietary reference intakes - Food chemistry, Maillard reaction, emulsification, gelation - Food safety, HACCP, critical control points, pathogen analysis - Sensory evaluation, taste panels, hedonic scales - Food processing, pasteurization, fermentation, preservation - Shelf life, water activity, food packaging - Dietary assessment, food frequency questionnaire, 24-hour recall ## Step-by-Step Methodology 1. **Define the food science question** - Specify the food matrix (raw ingredient, processed product, meal). Identify whether the question is about composition, safety, processing, sensory properties, or health effects. 2. **Nutritional analysis** - Query food composition databases (USDA FoodData Central, EFSA). Report per serving and per 100g. Compare against DRIs (Dietary Reference Intakes) or RDAs. Account for bioavailability and cooking losses. 3. **Food chemistry analysis** - Identify key chemical reactions (Maillard browning, lipid oxidation, enzymatic browning, starch gelatinization). Characterize relevant physical chemistry (pH, water activity, emulsion stability, rheology). Relate to quality attributes (color, texture, flavor). 4. **Food safety assessment** - Identify hazards: biological (pathogens: Salmonella, Listeria, E. coli O157:H7), chemical (pesticides, mycotoxins, heavy metals, allergens), physical (foreign objects). Apply HACCP principles: hazard analysis, critical control points, critical limits, monitoring, corrective actions. 5. **Process optimization** - Define processing parameters (temperature, time, pH, pressure). Model thermal processing (D-value, z-value, F0 calculations for sterilization). Optimize for safety while minimizing quality loss. Consider novel technologies (HPP, PEF, UV). 6. **Sensory evaluation** - Design appropriate test: discrimination (triangle, duo-trio), descriptive (QDA, CATA), or affective (hedonic, preference). Determine panel size (trained vs. consumer), number of replicates, and serving conditions. Apply appropriate statistical analysis. 7. **Shelf life estimation** - Monitor quality indicators over time (microbial counts, chemical markers, sensory scores). Model degradation kinetics (zero or first order). Apply accelerated shelf life testing (ASLT) with Arrhenius equation for temperature-dependent reactions. ## Key Databases and Tools - **USDA FoodData Central** - US food composition database - **EFSA / Codex Alimentarius** - Food safety standards - **FDA Food Safety** - US food regulations - **CompTox (EPA)** - Chemical toxicity data - **Mintel / Innova Market Insights** - Food product trends ## Output Format - Nutritional composition tables: nutrient, amount per serving, % DRI. - HACCP plan as a table: hazard, CCP, critical limit, monitoring, corrective action. - Thermal processing: D-values, z-values, F0 calculation with target organism. - Sensory results: panel demographics, test statistics, significance levels. - Shelf life: degradation curves, estimated shelf life with confidence intervals. ## Quality Checklist - [ ] Food composition data source and version specified - [ ] Serving sizes clearly defined and consistent - [ ] HACCP analysis covers all three hazard categories (biological, chemical, physical) - [ ] Thermal processing targets the most resistant pathogen of concern - [ ] Sensory evaluation design includes proper controls and blinding - [ ] Regulatory framework identified (FDA, EFSA, Codex) - [ ] Allergen considerations addressed - [ ] Shelf life conditions (temperature, humidity, packaging) specified
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