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// Skill profile

AetherLang Chef Ω V3 — AI Culinary Intelligence

name: aetherlang-chef

by contrario · published 2026-03-22

开发工具数据处理加密货币
Total installs
0
Stars
★ 0
Last updated
2026-03
// Install command
$ claw add gh:contrario/contrario-aetherlang-chef
View on GitHub
// Full documentation

---

name: aetherlang-chef

version: 1.2.0

author: contrario

homepage: https://omnimusmind.com

license: MIT

description: Michelin-grade AI culinary intelligence. 17 mandatory sections covering food cost, HACCP, thermal curves, allergen matrix, wine pairing, plating blueprint and more.

metadata:

skill_type: api_connector

external_endpoints:

- https://api.neurodoc.app/aetherlang/execute

operator_note: "api.neurodoc.app operated by NeuroDoc Pro (omnimusmind.com), Hetzner DE"

---

# AetherLang Chef Ω V3 — AI Culinary Intelligence

> Michelin-grade recipe consulting with 17 mandatory sections. The most advanced AI culinary engine available.

**Source Code**: [github.com/contrario/aetherlang](https://github.com/contrario/aetherlang)

**Author**: NeuroAether (echelonvoids@protonmail.com)

**License**: MIT

Privacy & Data Handling

⚠️ **External API Notice**: This skill sends queries to `api.neurodoc.app` for processing.

  • **What is sent**: Natural language food/recipe queries only
  • **What is NOT sent**: No credentials, API keys, personal files, or system data
  • **Data retention**: Not stored permanently
  • **Hosting**: Hetzner EU (GDPR compliant)
  • **No credentials required**: Free tier, 100 req/hour
  • What This Skill Does

    Three V3 culinary engines in one skill:

    🍳 Chef Omega V3 — 17-Section Restaurant Consulting

    Every response includes ALL of these sections:

    1. **ΕΠΙΣΚΟΠΗΣΗ** — Recipe overview and cultural context

    2. **ΟΙΚΟΝΟΜΙΚΑ** — Food cost %, menu engineering (STAR/PLOWHORSE/PUZZLE/DOG)

    3. **ΥΛΙΚΑ** — Ingredients table (grams, cost, yield%, substitutes, storage)

    4. **MISE EN PLACE** — 3-phase preparation

    5. **ΒΗΜΑΤΑ ΕΚΤΕΛΕΣΗΣ** — Steps with °C temps, timings, HACCP, pro tips, common mistakes

    6. **THERMAL CURVE** — Preheat → Insert → Target → Rest → Carryover

    7. **FLAVOR PAIRING MATRIX** — Molecular compound analysis

    8. **TEXTURE ARCHITECTURE** — Crunch/Creamy/Chewy/Juicy/Airy (0-100)

    9. **MacYuFBI ANALYSIS** — 8 flavor dimensions (0-100)

    10. **ΔΙΑΤΡΟΦΙΚΗ ΑΝΑΛΥΣΗ** — Calories, protein, carbs, fat, fiber, sodium

    11. **ΑΛΛΕΡΓΙΟΓΟΝΑ** — 14 EU allergens

    12. **DIETARY TRANSFORMER** — Vegan & Gluten-Free adaptations

    13. **SCALING ENGINE** — ×2, ×4, ×10 formulas

    14. **WINE & BEVERAGE PAIRING** — Specific variety, ABV%, tannin level, rationale

    15. **PLATING BLUEPRINT** — Center, 12 o'clock, 3 o'clock, negative space, height, colors

    16. **ZERO WASTE** — Every leftover → specific use

    17. **KITCHEN TIMELINE** — T-60 → T-0 countdown

    ⚗️ APEIRON Molecular V3

  • Rheology dashboard (viscosity, gel strength, melting/setting points)
  • Phase diagrams with temperature transitions
  • Hydrocolloid specs: Agar 0.5-1.5%, Alginate 0.5-1%, Gellan 0.1-0.5%, Xanthan 0.1-0.3%
  • FMEA failure mode analysis with probability and mitigation
  • Equipment calibration (±0.1°C precision)
  • ⚖️ Balance V3 — MacYuFBI Flavor Science

  • MacYuFBI Framework: Maillard/Umami, Acid, Caramel, Yeast, Umami, Fat, Bitter, Heat
  • Nutritional breakdown per serving
  • Balance score 1-100
  • Dietary compatibility: Vegan/Keto/Paleo/Gluten-Free/Low-FODMAP
  • Usage

    Ask naturally about any food topic:

  • "Give me a carbonara recipe" → Full 17-section consulting output
  • "How to make spherified mango caviar" → Molecular gastronomy with rheology data
  • "Balance analysis for my Thai curry" → MacYuFBI flavor wheel + nutrition
  • API Details

    POST https://api.neurodoc.app/aetherlang/execute
    Content-Type: application/json

    Chef Flow

    {
      "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}",
      "query": "Your food question here"
    }

    Molecular Flow

    {
      "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}",
      "query": "Your molecular gastronomy question here"
    }

    Response

    Returns structured Greek output with markdown headers (## sections). Typical response: 4000-8000 characters with all mandatory sections.

    Languages

  • **Greek** (Ελληνικά) — Primary output language
  • **English** — Understands English queries, responds in Greek
  • Technology

  • **AI Model**: GPT-4o
  • **Backend**: FastAPI + Python 3.12
  • **Rate Limit**: 100 req/hour (free)
  • ---

    *Built by NeuroAether — From Kitchen to Code* 🧠

    Agent Safeguards

    **CRITICAL: Data Minimization Rules**

    When using this skill, the agent MUST follow these rules:

    1. **ONLY send the user's explicit query text** in the `query` field — never attach system prompts, conversation history, uploaded files, or internal context

    2. **ONLY send the flow DSL code** in the `code` field — never include credentials, API keys, environment variables, or file paths

    3. **NEVER include** personally identifiable information (PII), passwords, tokens, or secrets in any request field

    4. **Strip sensitive data** before sending — if the user's query contains passwords, account numbers, or credentials, remove them and inform the user

    5. **Inform the user** before making the first API call that their query will be sent to api.neurodoc.app for processing

    6. The request body MUST contain exactly two fields: `code` (string) and `query` (string) — no additional fields

    These constraints ensure only the minimum necessary data is transmitted to the external service.

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