A private AI mixologist skill for Openclaw that provides access to over 1,635 cocktail recipes and preparation guides.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cocktail-boy
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 cocktail-boy 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 Cocktail Boy?
Cocktail Boy is a specialized Openclaw Skills integration designed to function as a personal digital bartender. By leveraging a comprehensive database of over 1,635 unique recipes, this skill allows users to explore the world of mixology directly through their AI agent. Whether you are looking for specific preparation steps or need inspiration for a social gathering, this tool streamlines the discovery process and provides expert-level instructions instantly.
This skill is built for developers and enthusiasts who want to integrate lifestyle automation into their workspace. By utilizing localized CSV data and shell-based query scripts, Cocktail Boy ensures rapid response times and offline access to a vast library of drink knowledge. It represents a unique way to leverage Openclaw Skills for practical, everyday utility beyond traditional programming tasks.
Cocktail Boy Use Cases
- Finding the exact preparation steps and measurements for a classic cocktail like a Mojito or Margarita.
- Discovering what drinks can be made using specific ingredients currently available in your home bar.
- Requesting random drink recommendations to experiment with new flavors and techniques.
- Receiving situational suggestions based on specific social contexts like a date night or a large party.
How Cocktail Boy Works
- The user inputs a specific command such as /cocktail or /scene through the AI agent interface.
- The Openclaw Skills engine triggers the underlying bash script located in the workspace directory.
- The query script parses the rohan_cocktails.csv database to find matches among the 1,635 available recipes.
- The skill filters results based on the provided drink name, ingredient list, or scenario context.
- The formatted recipe, including detailed preparation steps, is returned to the user via the Openclaw Skills interface.
Cocktail Boy Setup
To install this skill, you need to place the files in your local directory and ensure the execution permissions are set correctly for the scripts.
# Navigate to your skills directory
cd ~/.openclaw/workspace/skills/
# Create the directory for the skill
mkdir -p cocktail-boy
# Ensure the query script is executable
chmod +x ~/.openclaw/workspace/skills/cocktail-boy/scripts/query.sh
You may also choose to add shortcuts to your ~/.bashrc for direct CLI access as part of your Openclaw Skills workflow.
Cocktail Boy Data Schema & Taxonomy
The skill utilizes a structured CSV file for data persistence and a shell-based logic layer. The data is organized as follows:
| Component | Path | Description |
|---|---|---|
| Database | cocktail-db/rohan_cocktails.csv |
Contains 1,635+ recipes including name, ingredients, and preparation steps. |
| Logic Script | scripts/query.sh |
The primary engine for searching and filtering the recipe dataset. |
| Root Path | ~/.openclaw/workspace/skills/cocktail-boy/ |
The designated workspace folder for this specific Openclaw Skills entry. |
Cocktail Boy Advanced Features
- High-performance local ingredient-based filtering across a massive dataset of over 1,600 entries.
- Contextual scene recommendations that use natural language descriptions to suggest the perfect drink.
- Extensible shell-based architecture that allows users to add custom aliases or hooks within their Openclaw Skills environment.
- Privacy-focused local-first data processing that requires no external API calls for recipe retrieval.
SKILL.md
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