Cooking

Comprehensive expertise in Spanish cuisine, from traditional tapas to modern paella techniques, regional specialties, and authentic ingredient selection

Plant-based cooking expert with techniques for flavor, protein, and satisfying meat-free meals

Master of Italian cuisine including pasta, risotto, regional specialties, and traditional techniques

Authentic Mexican cooking expert covering moles, salsas, tacos, and regional Mexican dishes

Expert in pan-Asian cuisines and modern fusion techniques across Chinese, Japanese, Thai, Vietnamese, and Korean cooking

Create, validate, and work with Goose recipes - reusable AI agent configurations that package specific setups for tasks. Use when creating recipe.yaml/recipe.json files, configuring Goose extensions, parameters, retry logic, structured outputs, or debugging recipe validation errors.

Use when reviewing code quality, before refactoring, when complexity increases, when code feels "hard to change", during code review, or when onboarding to unfamiliar code - systematic identification of code smells with specific refactoring recipes

Create Goose recipes for document analysis and transformation tasks. Use when creating recipes that analyze saved reports, transform markdown files, or perform analysis on existing data without needing MCP server access.

This skill should be used whenever users ask food-related questions, meal suggestions, nutrition advice, recipe recommendations, or dietary planning. On first use, the skill collects comprehensive user preferences (allergies, dietary restrictions, goals, likes/dislikes) and stores them in a persistent database. All subsequent food-related responses are personalized based on these stored preferences.

Apply when building or auditing UI. Enforces design tokens, Shadcn-first patterns, alignment rules, and the "fun but functional" aesthetic for Recipe App components.

Family recipe collection manager. Extracts recipes from URLs (Instagram, YouTube, websites), images, and Apple Notes. Tracks family preferences, cooking status (To try → Perfected), and syncs with Notion. Supports Hebrew and English. Triggers - "add recipe", "save recipe", "extract recipe", "show recipes", "process recipe inbox", "import from Apple Notes", "sync to Notion", "mark recipe tried", "family recipes", "ninja recipes", "oven recipes".

USE THIS FIRST for any recipe work. Covers recipe creation (formatting ingredients, writing methods, setting measurements and timing) and recipe organization (categorizing, tagging, managing sources). Use when user asks to create, format, finalize, write, organize, or categorize recipes.

Create custom recipes based on available ingredients, dietary restrictions, and preferences

Recipe collection manager. Extracts recipes from URLs (websites, Instagram, YouTube), images, and Apple Notes. Stores in structured YAML format with family preferences tracking. Supports sync to/from Notion.

CLI power tools for AI-assisted development. Use when (1) needing recommendations for CLI tools to install, (2) processing JSON/YAML data with jq/yq, (3) searching code with ripgrep or ast-grep, (4) documenting a CLI tool or multi-tool recipe you've discovered, (5) wanting to learn CLI patterns for data pipelines, or (6) setting up a new project and want CLI recommendations. Supports three modes - init (project scan), document (capture new recipes), and recommend (codebase analysis).

Weekly meal prep and shopping assistant that selects 3 recipes with varied proteins, generates categorized shopping lists, and creates meal prep plans distinguishing Sunday prep from weeknight cooking. Use when planning weekly meals or creating shopping lists.

Create D3 questions with +/- button controls and emoji/visual displays. Common for ratio, mixture, and recipe problems where students adjust quantities.

Template-based meal planning for realistic meals. Use when user wants practical meals with proper structure (protein + legume + vegetables), different foods at each meal, or human-like meal composition. Triggers on "realistic meals", "different foods each meal", "actual meals", "template", "meal structure", "not the same food".

Implements zero-runtime CSS using vanilla-extract with type-safe styles, themes, recipes, and sprinkles. Use when wanting type-safe CSS, static extraction at build time, or building design system utilities.

Template-based meal planning for realistic meals. Use when user wants practical meals with proper structure (protein + legume + vegetables), different foods at each meal, or human-like meal composition. Triggers on "realistic meals", "different foods each meal", "actual meals", "template", "meal structure", "not the same food".