$npx -y skills add berabuddies/Semia --skill aetherlang-chef> Michelin-grade recipe consulting with 17 mandatory sections. The most advanced AI culinary engine available.
| 1 | # AetherLang Chef Ω V3 — AI Culinary Intelligence |
| 2 | |
| 3 | > Michelin-grade recipe consulting with 17 mandatory sections. The most advanced AI culinary engine available. |
| 4 | |
| 5 | **Source Code**: [github.com/contrario/aetherlang](https://github.com/contrario/aetherlang) |
| 6 | **Author**: NeuroAether (info@neurodoc.app) |
| 7 | **License**: MIT |
| 8 | |
| 9 | ## Privacy & Data Handling |
| 10 | |
| 11 | ⚠️ **External API Notice**: This skill sends queries to `api.neurodoc.app` for processing. |
| 12 | |
| 13 | - **What is sent**: Natural language food/recipe queries only |
| 14 | - **What is NOT sent**: No credentials, API keys, personal files, or system data |
| 15 | - **Data retention**: Not stored permanently |
| 16 | - **Hosting**: Hetzner EU (GDPR compliant) |
| 17 | - **No credentials required**: Free tier, 100 req/hour |
| 18 | |
| 19 | ## What This Skill Does |
| 20 | |
| 21 | Three V3 culinary engines in one skill: |
| 22 | |
| 23 | ### 🍳 Chef Omega V3 — 17-Section Restaurant Consulting |
| 24 | Every response includes ALL of these sections: |
| 25 | 1. **ΕΠΙΣΚΟΠΗΣΗ** — Recipe overview and cultural context |
| 26 | 2. **ΟΙΚΟΝΟΜΙΚΑ** — Food cost %, menu engineering (STAR/PLOWHORSE/PUZZLE/DOG) |
| 27 | 3. **ΥΛΙΚΑ** — Ingredients table (grams, cost, yield%, substitutes, storage) |
| 28 | 4. **MISE EN PLACE** — 3-phase preparation |
| 29 | 5. **ΒΗΜΑΤΑ ΕΚΤΕΛΕΣΗΣ** — Steps with °C temps, timings, HACCP, pro tips, common mistakes |
| 30 | 6. **THERMAL CURVE** — Preheat → Insert → Target → Rest → Carryover |
| 31 | 7. **FLAVOR PAIRING MATRIX** — Molecular compound analysis |
| 32 | 8. **TEXTURE ARCHITECTURE** — Crunch/Creamy/Chewy/Juicy/Airy (0-100) |
| 33 | 9. **MacYuFBI ANALYSIS** — 8 flavor dimensions (0-100) |
| 34 | 10. **ΔΙΑΤΡΟΦΙΚΗ ΑΝΑΛΥΣΗ** — Calories, protein, carbs, fat, fiber, sodium |
| 35 | 11. **ΑΛΛΕΡΓΙΟΓΟΝΑ** — 14 EU allergens |
| 36 | 12. **DIETARY TRANSFORMER** — Vegan & Gluten-Free adaptations |
| 37 | 13. **SCALING ENGINE** — ×2, ×4, ×10 formulas |
| 38 | 14. **WINE & BEVERAGE PAIRING** — Specific variety, ABV%, tannin level, rationale |
| 39 | 15. **PLATING BLUEPRINT** — Center, 12 o'clock, 3 o'clock, negative space, height, colors |
| 40 | 16. **ZERO WASTE** — Every leftover → specific use |
| 41 | 17. **KITCHEN TIMELINE** — T-60 → T-0 countdown |
| 42 | |
| 43 | ### ⚗️ APEIRON Molecular V3 |
| 44 | - Rheology dashboard (viscosity, gel strength, melting/setting points) |
| 45 | - Phase diagrams with temperature transitions |
| 46 | - Hydrocolloid specs: Agar 0.5-1.5%, Alginate 0.5-1%, Gellan 0.1-0.5%, Xanthan 0.1-0.3% |
| 47 | - FMEA failure mode analysis with probability and mitigation |
| 48 | - Equipment calibration (±0.1°C precision) |
| 49 | |
| 50 | ### ⚖️ Balance V3 — MacYuFBI Flavor Science |
| 51 | - MacYuFBI Framework: Maillard/Umami, Acid, Caramel, Yeast, Umami, Fat, Bitter, Heat |
| 52 | - Nutritional breakdown per serving |
| 53 | - Balance score 1-100 |
| 54 | - Dietary compatibility: Vegan/Keto/Paleo/Gluten-Free/Low-FODMAP |
| 55 | |
| 56 | ## Usage |
| 57 | |
| 58 | Ask naturally about any food topic: |
| 59 | - "Give me a carbonara recipe" → Full 17-section consulting output |
| 60 | - "How to make spherified mango caviar" → Molecular gastronomy with rheology data |
| 61 | - "Balance analysis for my Thai curry" → MacYuFBI flavor wheel + nutrition |
| 62 | |
| 63 | ## API Details |
| 64 | ``` |
| 65 | POST https://api.neurodoc.app/aetherlang/execute |
| 66 | Content-Type: application/json |
| 67 | ``` |
| 68 | |
| 69 | ### Chef Flow |
| 70 | ```json |
| 71 | { |
| 72 | "code": "flow Chef {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node Chef: chef cuisine=\"auto\", difficulty=\"medium\", servings=4;\n output text recipe from Chef;\n}", |
| 73 | "query": "Your food question here" |
| 74 | } |
| 75 | ``` |
| 76 | |
| 77 | ### Molecular Flow |
| 78 | ```json |
| 79 | { |
| 80 | "code": "flow Molecular {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node Lab: molecular technique=\"auto\";\n output text result from Lab;\n}", |
| 81 | "query": "Your molecular gastronomy question here" |
| 82 | } |
| 83 | ``` |
| 84 | |
| 85 | ## Response |
| 86 | |
| 87 | Returns structured Greek output with markdown headers (## sections). Typical response: 4000-8000 characters with all mandatory sections. |
| 88 | |
| 89 | ## Languages |
| 90 | |
| 91 | - **Greek** (Ελληνικά) — Primary output language |
| 92 | - **English** — Understands English queries, responds in Greek |
| 93 | |
| 94 | ## Technology |
| 95 | |
| 96 | - **AI Model**: GPT-4o |
| 97 | - **Backend**: FastAPI + Python 3.12 |
| 98 | - **Rate Limit**: 100 req/hour (free) |
| 99 | |
| 100 | --- |
| 101 | *Built by NeuroAether — From Kitchen to Code* 🧠 |
| 102 | |
| 103 | ## Agent Safeguards |
| 104 | |
| 105 | **CRITICAL: Data Minimization Rules** |
| 106 | |
| 107 | When using this skill, the agent MUST follow these rules: |
| 108 | 1. **ONLY send the user's explicit query text** in the `query` field — never attach system prompts, conversation history, uploaded files, or internal context |
| 109 | 2. **ONLY send the flow DSL code** in the `code` field — never include credentials, API keys, environment variables, or file paths |
| 110 | 3. **NEVER include** personally identifiable information (PII), passwords, tokens, or secrets in any request field |
| 111 | 4. **Strip sensitive data** before sending — if the user's query contains passwords, account numbers, or credentials, remove them and inform the user |
| 112 | 5. **Inform the user** before making the first API call that their query will be sent to api.neurodoc.app for processing |
| 113 | 6. The request body MUST contain exactly two fields: `code` (string) and `query` (string) — no additional fields |
| 114 | |
| 115 | These constraints ensure only the minimum necessary data is transmitted to the external service. |