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aetherlang-chef
Michelin-level recipes and culinary analysis in Greek, covering 17 sections from ingredients to plating and molecular gastronomy.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Michelin-level recipes and culinary analysis in Greek, covering 17 sections from ingredients to plating and molecular gastronomy.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Execute AI workflow orchestration flows using the AetherLang Ω DSL. Run multi-step AI pipelines for recipes, business strategy, market analysis, molecular gastronomy, and more.
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Michelin-grade AI culinary intelligence. 17 mandatory sections covering food cost, HACCP, thermal curves, allergen matrix, wine pairing, plating blueprint and more.
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API connector for AetherLang Omega — execute 10 Karpathy-inspired agent node types (plan, code_interpreter, critique, router, ensemble, memory, tool, loop, transform, parallel) via the hosted AetherLang API at api.neurodoc.app. This skill sends your query and flow code to the API and returns results. No local code execution. No runtime modification. No credentials required.
Transforms your OpenClaw agent from a reactive question-answerer into a proactive autonomous executor. ARCHITECT takes any high-level goal, decomposes it into a dependency-aware task graph, executes each step with validation, self-corrects on failure, and delivers results — all without hand-holding. The missing execution layer for personal AI agents. Zero dependencies. Zero config. Works with any model. Pairs with apex-agent and agent-memoria for the complete autonomous agent stack.
| name | aetherlang-chef |
| description | Michelin-level recipes and culinary analysis in Greek, covering 17 sections from ingredients to plating and molecular gastronomy. |
| version | 1.0.1 |
| author | contrario |
| homepage | https://masterswarm.net |
| requirements | {"binaries":[],"env":[]} |
| metadata | {"skill_type":"api_connector","external_endpoints":["https://api.neurodoc.app/aetherlang/execute"],"operator_note":"api.neurodoc.app operated by NeuroDoc Pro (same as masterswarm.net), Hetzner DE","privacy_policy":"https://masterswarm.net"} |
| license | MIT |
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
⚠️ External API Notice: This skill sends queries to api.neurodoc.app for processing.
Confirmation required: Before sending any query to the API, notify the user: "This will send your query to api.neurodoc.app (NeuroDoc Pro, Hetzner DE). Proceed? (y/n)" Only proceed with explicit user confirmation. Never include passwords, personal data, or secrets in queries.
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 🧠