A curated collection of powerful automation scripts, skills, and workflows designed to work with the Antigravity AI agent
git clone https://github.com/iamneongo/antigravity-cooking.gitAntigravity Skills & Workflows is a curated collection of automation scripts and agent workflows built to work seamlessly with the Antigravity platform. Written primarily in PowerShell, it provides developers with tools to automate routine environment management tasks and focus on writing code. The repository includes organized automation scripts like gh-switch.ps1 for GitHub management, along with a structured framework for agent skills and workflows. Maintained by NeoNgo and licensed under MIT, it's designed to help development teams eliminate manual processes and improve efficiency across their workflows.
Clone the repository and explore the scripts directory for available automation tools. The gh-switch.ps1 script provides GitHub switching automation. Refer to the CONTRIBUTING.md guide to add your own workflows or skills to the collection.
Automating GitHub repository switching and management tasks
Streamlining developer environment setup and configuration
Managing repetitive automation workflows with AI agents
Building custom agent skills for Antigravity platform
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/iamneongo/antigravity-cookingCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate an automation script for [COMPANY] in the [INDUSTRY] sector to [SPECIFIC TASK]. The script should integrate with [SPECIFIC TOOLS/PLATFORMS] and use [DATA] to streamline the process. Ensure the script is efficient, scalable, and secure.
# Automation Script for Data Processing
## Overview
This script automates the data processing workflow for [COMPANY], a leading firm in the [INDUSTRY] sector. It integrates with [SPECIFIC TOOLS/PLATFORMS] to streamline data extraction, transformation, and loading (ETL) processes.
## Key Features
- **Data Extraction**: Pulls data from [DATA SOURCES] every [TIME INTERVAL].
- **Data Transformation**: Cleans and formats data according to [SPECIFIC STANDARDS].
- **Data Loading**: Loads processed data into [TARGET DATABASE] for further analysis.
- **Error Handling**: Includes robust error handling to ensure data integrity.
## Implementation
```python
# Example Python script for data processing
import pandas as pd
# Data extraction
data = pd.read_csv('[DATA SOURCE]')
# Data transformation
data_cleaned = data.dropna()
data_cleaned['column'] = data_cleaned['column'].apply(lambda x: x.upper())
# Data loading
data_cleaned.to_sql('target_table', con=engine, if_exists='replace')
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