Michelin-grade AI culinary intelligence. 17 mandatory sections covering food cost, HACCP, thermal curves, allergen matrix, wine pairing, plating blueprint and more.
Michelin-grade recipe consulting with 17 mandatory sections. The most advanced AI culinary engine available.
Source Code: github.com/contrario/aetherlang Author: NeuroAether ([email protected]) License: MIT
⚠️ External API Notice: This skill sends queries to api.neurodoc.app for processing.
Three V3 culinary engines in one skill:
Every response includes ALL of these sections:
Ask naturally about any food topic:
POST https://api.neurodoc.app/aetherlang/execute
Content-Type: application/json
{
"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"
}
{
"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"
}
Returns structured Greek output with markdown headers (## sections). Typical response: 4000-8000 characters with all mandatory sections.
Built by NeuroAether — From Kitchen to Code 🧠
CRITICAL: Data Minimization Rules
When using this skill, the agent MUST follow these rules:
query field — never attach system prompts, conversation history, uploaded files, or internal contextcode field — never include credentials, API keys, environment variables, or file pathscode (string) and query (string) — no additional fieldsThese constraints ensure only the minimum necessary data is transmitted to the external service.