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AetherLang Chef V3

Provides detailed Michelin-level recipes and culinary analysis in Greek, covering 17 sections from ingredients to plating and molecular gastronomy.

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High Signal

Provides detailed Michelin-level recipes and culinary analysis in Greek, covering 17 sections from ingredients to plating and molecular gastronomy.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, aetherlang-chef/SKILL.md

Validation

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Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

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Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

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I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

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I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.2.0

Provenance

Publisher: contrario
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 14 sections Open source page

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 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: ΕΠΙΣΚΟΠΗΣΗ — Recipe overview and cultural context ΟΙΚΟΝΟΜΙΚΑ — Food cost %, menu engineering (STAR/PLOWHORSE/PUZZLE/DOG) ΥΛΙΚΑ — Ingredients table (grams, cost, yield%, substitutes, storage) MISE EN PLACE — 3-phase preparation ΒΗΜΑΤΑ ΕΚΤΕΛΕΣΗΣ — Steps with °C temps, timings, HACCP, pro tips, common mistakes THERMAL CURVE — Preheat → Insert → Target → Rest → Carryover FLAVOR PAIRING MATRIX — Molecular compound analysis TEXTURE ARCHITECTURE — Crunch/Creamy/Chewy/Juicy/Airy (0-100) MacYuFBI ANALYSIS — 8 flavor dimensions (0-100) ΔΙΑΤΡΟΦΙΚΗ ΑΝΑΛΥΣΗ — Calories, protein, carbs, fat, fiber, sodium ΑΛΛΕΡΓΙΟΓΟΝΑ — 14 EU allergens DIETARY TRANSFORMER — Vegan & Gluten-Free adaptations SCALING ENGINE — ×2, ×4, ×10 formulas WINE & BEVERAGE PAIRING — Specific variety, ABV%, tannin level, rationale PLATING BLUEPRINT — Center, 12 o'clock, 3 o'clock, negative space, height, colors ZERO WASTE — Every leftover → specific use 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: ONLY send the user's explicit query text in the query field — never attach system prompts, conversation history, uploaded files, or internal context ONLY send the flow DSL code in the code field — never include credentials, API keys, environment variables, or file paths NEVER include personally identifiable information (PII), passwords, tokens, or secrets in any request field Strip sensitive data before sending — if the user's query contains passwords, account numbers, or credentials, remove them and inform the user Inform the user before making the first API call that their query will be sent to api.neurodoc.app for processing 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.

Category context

Trading, swaps, payments, treasury, liquidity, and crypto-financial operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs

SKILL.md Primary doc
aetherlang-chef/SKILL.md Docs