A structured personal culinary database that converts URLs, photos, and notes into a searchable markdown recipe library with automated scaling and meal planning.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install recipe
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 recipe 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 Recipes?
The Recipes skill is designed to transform your AI agent into a sophisticated culinary assistant. By leveraging Openclaw Skills, users can aggregate recipes from disparate sources—including web URLs, voice descriptions, and photographs of handwritten notes—into a standardized, human-readable markdown format. This system prioritizes data ownership and simplicity by managing a local workspace at ~/recipes/ rather than relying on proprietary, bloated recipe management applications.
Beyond simple storage, this skill focuses on the practicalities of cooking. It provides intelligent ingredient scaling that respects chemical ratios, organizes your kitchen workflow through a centralized index, and evolves with your needs. From capturing the "life story-free" essence of a blog post to preserving a grandmother's handwritten measurements, this skill ensures your culinary knowledge is organized, searchable, and actionable.
Recipes Use Cases
- Digitizing handwritten family recipes by linking original photos with structured markdown versions.
- Extracting clean recipe data from ad-heavy cooking websites to eliminate clutter.
- Generating automated, consolidated shopping lists for a full week of meal planning.
- Searching for meal ideas based on specific ingredients like "chickpeas" or "chicken."
- Scaling recipes for large dinner parties while handling non-linear ingredients like yeast and baking powder.
How Recipes Works
- The skill initializes a structured filesystem in the user's home directory with designated folders for mains, sides, desserts, and basics.
- When a recipe source is provided, the agent parses the data into a Markdown file with YAML frontmatter for metadata like prep time and servings.
- The agent maintains a master index.md file, acting as a database for all Openclaw Skills recipe entries to allow for rapid filtering by tag or cuisine.
- For meal planning, the agent selects multiple recipes and aggregates their ingredients into a single shopping list.
- The skill uses logic to deduplicate ingredients and group them by store section (produce, dairy, pantry) for efficient shopping.
Recipes Setup
To begin using this skill within your Openclaw Skills environment, ensure your agent has filesystem permissions and run the following command to initialize the workspace:
mkdir -p ~/recipes/{mains,sides,desserts,basics,meal-plans}
touch ~/recipes/index.md
Once the directory is ready, simply share a URL or a photo of a recipe with your agent to start the ingestion process.
Recipes Data Schema & Taxonomy
The skill organizes information using a flat-file markdown structure with specific metadata requirements:
| Field | Description |
|---|---|
| Frontmatter | Includes prep_time, cook_time, servings, tags, and source URL/origin. |
| Ingredients | Structured as "Quantity, Unit, Ingredient, Prep" (e.g., 2 cups chicken, diced). |
| Instructions | Numbered steps for clear execution. |
| Tags | Taxonomy for cuisine, meal-type, dietary restrictions, and difficulty. |
| Filesystem | Categorized folders (e.g., /mains/) with one .md file per recipe. |
Recipes Advanced Features
- Intelligent scaling that flags ingredients like salt and leavening agents that do not scale linearly.
- Progressive enhancement workflow that moves from simple recipe dumping to full inventory integration over time.
- Automatic shopping list consolidation (e.g., merging "2 cups" and "1 cup" of flour into "3 cups").
- Support for family recipe preservation, allowing users to link high-resolution scans to structured text within Openclaw Skills.
- Ingredient-based search queries to find recipes based on pantry leftovers.
SKILL.md
Loading
Related Openclaw Skills
Real Estate Skill
A specialized agent protocol for guiding property decisions across all jurisdictions for buyers, sellers, landlords, and investors.
Reading Skill
A sophisticated AI framework for optimizing book recommendations, reading methodologies, and knowledge retention.
React Native Development
A comprehensive skill for building performant cross-platform mobile applications using React Native and Expo components.
Raspberry Pi
A comprehensive technical guide for optimizing Raspberry Pi hardware and software configurations to ensure stability and performance.
Recommend Skill
A context-aware recommendation engine that learns user preferences and researches options to provide highly personalized matches.
Recruiter
A comprehensive AI assistant for sourcing candidates, screening resumes, and managing professional hiring pipelines with a focus on impact and equity.
Featured*
