testers.ai

Antigravity AI Antigravity AI Skills

Open source AI skills shared by testers.ai

Extend Antigravity's capabilities with specialized AI skills for automated bug detection and testing

What are Antigravity Skills?

Antigravity Skills are specialized AI capabilities that extend Antigravity's functionality. Each skill contains instructions and prompts that teach Antigravity how to perform specific tasks, like automated bug detection, code analysis, and quality assurance. Skills are stored as SKILL.md files that Antigravity can read and execute.

Download Antigravity Skills
testers.ai Antigravity skills demonstration

Step 1: Install Antigravity IDE

Download and install Antigravity Code to get started:

Antigravity Code

Reference SKILL.md in commands

Download Antigravity IDE

Step 2: Download & Install Skills

Download the OpenTestAI skills file and install it in your Antigravity platform:

Download SKILL.md

Download the Antigravity skills file:

Download SKILL.md View in Browser

Or use the command line:

curl -O https://testers.ai/skills/antigravity/opentestai/SKILL.md

Install OpenTestAI Skills in Antigravity

To install the OpenTestAI automated testing and bug detection skills in Google Antigravity, manually add the skill files to the appropriate directory in your project workspace.

Manual Installation (Workspace or Global Scope)

The OpenTestAI skill provides three specialized testing modes: Bug Detection (31 specialized testers), Persona Feedback (diverse user insights), and Test Case Generation. Install it manually by creating the proper folder structure.

  • Go to the project's root directory or the global skills directory.
  • For a workspace-specific skill, create a folder structure like <workspace-root>/.agent/skills/opentestai.
  • For a global skill, the correct path is typically ~/.gemini/antigravity/skills (or potentially ~/.gemini/antigravity/global_skills depending on the Antigravity version).
  • Create a folder named opentestai within the skills directory.
  • Add the downloaded SKILL.md file inside the opentestai folder. This file contains the OpenTestAI testing capabilities and instructions for Antigravity.

The Antigravity agent should automatically recognize and load the OpenTestAI skill, making automated bug detection and testing available via natural language prompts in the chat interface.

Once installed, use prompts like "check for bugs", "test this page", or "generate test cases" to activate the OpenTestAI capabilities.

Step 4: How Antigravity Skills Work

Learn how SKILL.md extends Antigravity's capabilities and how to invoke the OpenTestAI skill

How SKILL.md Works

SKILL.md files contain specialized prompts and instructions that teach Antigravity how to perform specific tasks. When uploaded or referenced, Antigravity reads the file and learns new capabilities for automated testing and analysis.

OpenTestAI Capabilities

Three Modes: Bug Detection (31 specialized testers), Persona Feedback (diverse user insights), and Test Case Generation. Analyzes screenshots, network logs, console logs, and DOM content for high-confidence issues.

Invoke the Skill

Mention the skill in your prompt (e.g., "check for bugs on this page") or use the appropriate method for your Antigravity platform to load the SKILL.md file.

Skill Invocation Examples

"check for bugs", "test this page", "find issues", "get persona feedback", "generate test cases", "audit this", "user feedback", "QA check", "review for issues", "create tests", "write test cases"

Step 5: Try OpenTestAI Skills Now

Ready to test? Here are some examples of how to invoke OpenTestAI skills in your Antigravity chat:

Bug Detection Examples

test https://bing.com

Run comprehensive bug detection on Bing's homepage

check for bugs on https://github.com

Analyze GitHub for accessibility and usability issues

find issues on this page

Test the current page you're viewing

Persona Feedback Examples

get persona feedback for https://bing.com

Get diverse user perspective insights on Bing

what would users think about https://netflix.com

Generate persona feedback for Netflix

user feedback for this website

Get persona insights for current page

Test Generation Examples

generate tests for https://bing.com

Create comprehensive test cases for Bing

create test cases for https://shopify.com

Generate prioritized test suite for Shopify

write test cases for this page

Build test cases for current website

Quick Start Tips

  • Upload SKILL.md first: Make sure you've uploaded the OpenTestAI skills file to your Antigravity chat
  • Be specific: Include URLs or describe what you want to test
  • Multiple modes: You can combine all three modes in one request with "full analysis"
  • Current page: Use "this page" or attach screenshots for instant testing

About OpenTestAI

OpenTestAI is an open-source automated testing framework that uses 31 specialized AI testing agent profiles to analyze applications. Each agent is an expert in a specific testing domain, from accessibility testing to security analysis, performance monitoring to user experience evaluation.

Three Testing Modes

  • Bug Detection Mode: Finds high-confidence bugs using 31 specialized virtual testers
  • Persona Feedback Mode: Generates diverse user persona feedback for UX/product insights
  • Test Case Generation Mode: Creates comprehensive, prioritized test suites

Supported Artifacts

  • Screenshots: Visual interface analysis
  • Network Logs: API and performance monitoring
  • Console Logs: JavaScript error detection
  • DOM/Accessibility Trees: Structure and usability analysis

Key Feature:

Issues are only reported when there is high confidence they are real bugs, eliminating false positives common in automated testing tools.

Bug Detection

31 specialized AI testers analyze your artifacts simultaneously. Each tester has expertise in areas like:

  • Accessibility compliance (WCAG)
  • Security vulnerabilities
  • Performance issues
  • UI/UX problems
  • Cross-browser compatibility

Persona Feedback

Diverse user personas provide authentic feedback from different perspectives:

  • Technical users vs casual users
  • Different age groups and experience levels
  • Various device preferences
  • Accessibility needs

Test Generation

Automated creation of comprehensive test suites:

  • Prioritized test cases by importance
  • Coverage of critical user journeys
  • Edge case identification
  • Regression test suggestions
×