An AI home kitchen assistant that creates recipes, guides culinary steps, substitutes missing ingredients, and designs multi-day menus with interactive HTML reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install chef-cooking
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install chef-cooking using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Chef Cooking AI Home Assistant?
The chef-cooking skill acts as a professional AI kitchen assistant engineered to manage everything from checking your inventory ingredients to serving a complete meal. By blending a comprehensive built-in database of over 200 traditional and home-style dishes with intelligent web searching and LLM reasoning, this tool ensures home cooks never run out of culinary inspiration.
Designed with practicality in mind, the skill focuses primarily on everyday home cooking suited for the modern kitchen. Beyond text-based guidelines, it outputs beautiful, mobile-friendly interactive HTML card reports that present ingredients, grocery checklists, and detailed cooking timelines seamlessly.
Chef Cooking AI Home Assistant Use Cases
- When you have random leftover ingredients in the refrigerator and need quick recipe ideas.
- When you need a step-by-step, structured cooking guide split cleanly into prep, processing, cooking, and plating stages.
- When you are missing a critical ingredient like Doubanjiang or peanuts and need immediate alternative substitution ratios.
- When planning a balanced 5-day weeknight dinner menu for a specific number of people while staying within a budget.
- When dealing with kitchen safety emergencies or looking for professional culinary tips, such as keeping vegetables vibrant green or managing grease fires.
How Chef Cooking AI Home Assistant Works
- The user inputs an intent using natural language, triggering the skill via keywords related to cooking, recipes, or ingredients.
- The skill invokes its internal script routing system to match the query with the appropriate Python backend script (e.g., recipe generation, meal planning, or safety tips).
- It queries the local database file (
recipes.json) containing over 200 built-in recipes covering diverse culinary traditions. - If the requested dish is unique or missing from the local database, it automatically triggers a web search combined with LLM reasoning to fill in structural details.
- The skill renders a crisp Markdown summary inside the terminal or interface chat for instant review.
- Concurrently, it compiles an interactive, card-based HTML report detailing step timelines and grocery needs, then displays it using the
present_filestool.
Chef Cooking AI Home Assistant Setup
Prerequisites
This skill requires a Python 3 environment along with system and process monitoring tools installed via Openclaw Skills configurations.
Installation
Ensure your system meets the standard dependency guidelines. Execute the following in your environment setup:
pip install psutil
Ensure that python.exe is mapped correctly in your path so the executable environment can invoke the core management scripts inside the scripts/ folder.
Chef Cooking AI Home Assistant Data Schema & Taxonomy
The skill manages its underlying configurations, recipes, and logic through structured data directories:
Database Storage
{baseDir}/data/recipes.json: Holds the core structured recipe matrix for over 200 standard and traditional home-cooked items.
Script Executables
All automation and retrieval functionalities are handled by the following core Python scripts:
| Script | Description | Primary CLI Parameters |
|---|---|---|
{baseDir}/scripts/recipe_db.py |
Core recipe database search engine | --search <keyword> --cuisine <type> --ingredients <items> |
{baseDir}/scripts/recipe_generator.py |
Intelligent recipe suggestion engine | --ingredients <list> --count <number> |
{baseDir}/scripts/cooking_guide.py |
Four-stage recipe instruction guide | --recipe <dish_name> |
{baseDir}/scripts/ingredient_sub.py |
Alternative option generator for missing items | --recipe <dish_name> --missing <item> |
{baseDir}/scripts/meal_planner.py |
Balanced multi-day dietary calendar planner | --days <count> --people <count> --prefs <text> |
{baseDir}/scripts/cooking_tips.py |
Culinary tricks and physical science knowledge base | --query <question> --category <type> |
{baseDir}/scripts/kitchen_safety.py |
Critical safety warnings and crisis alerts | --query <question> --topic <subject> |
{baseDir}/scripts/html_report.py |
Interactive dashboard layout renderer | --recipe <dish_name> --type <type> --output <path> |
Chef Cooking AI Home Assistant Advanced Features
- Dual-Layer Search Architecture: Falls back automatically to live web searching if local recipe data cannot resolve the user's specific query.
- Interactive HTML Reporting: Renders mobile-responsive card interfaces displaying ingredient checkboxes and detailed recipe timelines via the
present_filespipeline. - Allergen and Health Safeguards: Features built-in parameters to highlight allergen warnings (such as peanuts or seafood) and supports demographic filtering for seniors, children, or pregnant users.
- Automated Cost and Nutrition Forecasting: Calculates rough grocery cost estimates and estimates multi-day nutritional variety to ensure a healthy home diet.
SKILL.md
Loading
Related Openclaw Skills
Patient Simulator (AnnaAgent)
A command-line skill designed to deploy and operate AnnaAgent, a psychological-counseling seeker simulator that models virtual patient interactions.
Google Health CLI
A lightweight, read-only Go CLI tool designed to fetch and format Google Health v4 data as clean JSON for developers and AI agents.
Lose It Nutrition CLI
A fast, read-only static binary to securely fetch and export your daily Lose It! nutrition and meal data into structured JSON.
Gamification Rules Engine
An AI skill that designs game rule frameworks, objective loops, and psychological engagement drivers to transform workflows into engaging gamified environments.
Resume JD Scorer
An automated evaluation tool that scores resumes against specific job descriptions using five key alignment dimensions and outputs detailed visual HTML reports.
AI Email Agent
An LLM-driven e-commerce customer support email automation system that auto-classifies, analyzes sentiment, and dynamically drafts or sends replies.
Featured*
