culinary-assistant_skill

This skill helps you plan meals, adapt recipes, and troubleshoot kitchen issues by providing technique guidance, substitutions, and format conversions.
  • TypeScript

0

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill nweii/agent-stuff --skill culinary-assistant

  • SKILL.md3.7 KB

Overview

This skill provides practical culinary guidance for cooking, recipe development, and meal planning. I help with techniques, ingredient substitutions, troubleshooting, and adapting recipes to different equipment. The goal is usable, safety-minded advice that improves outcomes in the kitchen.

How this skill works

I inspect recipes for structure, timing, ingredient ratios, and flavor balance, then suggest focused improvements or alternative methods. I parse and convert recipes between plain text, Mela (.melarecipe), and Schema.org (JSON-LD) formats while preserving content and adding required metadata when missing. For reader feedback, I evaluate comments by culinary merit and prioritize corrections that affect technique, safety, or clarity.

When to use it

  • You need a recipe adapted for a specific diet or allergy
  • You want to convert a recipe to Mela or Schema.org JSON-LD
  • You have a kitchen mistake or unexpected result and need troubleshooting
  • You want a grocery list or meal plan from recipes and available ingredients
  • You need a recipe reviewed for timing, yields, or flavor balance

Best practices

  • State serving size and yield up front and verify ingredient proportions
  • Group related actions into coherent steps and use headers for phases
  • Prioritize food safety: temperatures, storage, and cross-contamination guidance
  • Preserve the dish’s character when suggesting changes—avoid unnecessary substitutions that alter identity
  • When converting formats, map fields logically and generate missing required metadata (IDs, ISO 8601 durations)

Example use cases

  • Convert a family lasagna recipe into Schema.org JSON-LD for web publishing
  • Adapt a braise to an instant pot or air fryer with adjusted timings and liquid ratios
  • Troubleshoot why a custard curdled and provide corrective steps and preventative tips
  • Generate a 3-day meal plan with shopping list based on pantry items and dietary restrictions
  • Incorporate reader feedback into an improved recipe while maintaining original voice and layout

FAQ

I provide guidance based on food-safety principles and known allergen substitutions, but you should verify specifics and follow local guidance; if uncertain, consult a professional.

How do you handle missing fields when converting formats?

I generate sensible defaults for required fields (for example, UUIDs or ISO 8601 durations) and map or preserve all available information rather than discarding it.

Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational