aetherlang-chef

Generate 17-section culinary consulting reports via the AetherLang Chef API.

5|1|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/contrario/aetherlang --skill aetherlang-chef
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aetherlang-chef
Source: https://github.com/contrario/aetherlang/tree/main/skills/chef
Command: npx skills add https://github.com/contrario/aetherlang --skill aetherlang-chef

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables seamless integration with the AetherLang Chef API to produce exhaustive, chef-grade culinary analysis and workflow outputs, reducing manual planning time and ensuring consistent quality.

Core Features & Use Cases

  • API-backed 17-section restaurant consulting outputs including cost, ingredients, timing, HACCP, plating, and molecular data
  • Supports workflow optimization, recipe design, nutrition and allergen analysis, and supplier cost modeling
  • Use Case: Generate a complete 17-section culinary brief for a new menu item, including cost, nutrition, and plating blueprint, from a natural language query
  • Use Case: Rapidly produce a multi-faceted kitchen workflow plan for a batch service

Quick Start

Ask the AetherLang Chef API to generate a full 17-section restaurant consulting report for a new menu item by submitting a natural-language query.

Frequently Asked Questions about aetherlang-chef

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a complete culinary consulting report for a new menu item?

To generate a culinary consulting report, submit a natural-language query to the AetherLang Chef API connector. The API processes your input and returns a detailed 17-section output covering recipe design, cost optimization, HACCP planning, nutritional data, and plating blueprints.

What is included in the 17-section restaurant consulting output?

The 17-section restaurant consulting output includes detailed cost modeling, ingredient lists, timing, HACCP planning, plating instructions, molecular data, nutritional analysis, and allergen data. It provides a comprehensive culinary brief covering all aspects of kitchen workflow and recipe design.

Can I use natural language to optimize kitchen workflows for batch service?

Yes, you can use natural language queries to produce multi-faceted kitchen workflow plans for batch service. The AetherLang Chef API connector translates your input into optimized workflow plans, reducing manual planning time and ensuring consistent quality.

Does the AetherLang Chef API connector handle HACCP planning and allergen analysis?

The AetherLang Chef API connector handles HACCP planning and allergen analysis within its 17-section report. It applies strict data handling, validation, and security requirements while generating comprehensive nutritional and allergen data for your recipes.

What is the best way to integrate culinary AI for supplier cost modeling?

The best way to integrate culinary AI for supplier cost modeling is through the AetherLang Chef API connector. It forms a properly structured JSON payload sent to the external endpoint, generating exhaustive cost optimization and workflow outputs for restaurant operations.

Do I need any dependencies to run the AetherLang Chef API connector?

No dependencies are required to run the AetherLang Chef API connector. The skill independently handles payload formation, validation, and security requirements to call the external endpoint at https://api.neurodoc.app/aetherlang/execute.