Integrating with AI Agents

Integrating with AI Agents

Antigravity Awesome Skills is designed to empower a wide range of AI coding assistants and agents by providing them with structured, reusable SKILL.md playbooks. This section outlines how to integrate these skills with your preferred AI tools, enabling them to perform complex tasks with greater context, stronger constraints, and more predictable outputs.

Core Concept: SKILL.md Playbooks

At its heart, Antigravity Awesome Skills operates through SKILL.md files. These are markdown-formatted documents that encapsulate detailed operating instructions, examples, and constraints for specific tasks. AI agents can consume these playbooks to understand and execute tasks, leveraging the pre-defined expertise within each skill.

General Integration Principles

AI agents can integrate with Antigravity Awesome Skills in a few primary ways:

1. Direct Consumption: Many agents can directly read and interpret the content of SKILL.md files. You can copy the content of a relevant SKILL.md file into your agent's context window or prompt.
2. Local File System Access: For agents that can access your local file system (e.g., certain IDE integrations or CLI tools), the installed Antigravity library acts as a local knowledge base. You can instruct the agent to reference skills by their file paths.
3. Tool-Specific Plugins/Extensions: Some AI platforms support specific plugin architectures. Antigravity Awesome Skills provides "plugin-safe distributions" to facilitate this.

Integration with Popular AI Tools

Here's how to integrate Antigravity Awesome Skills with some of the widely used AI coding assistants:

Claude Code (Anthropic)

Claude Code and other Anthropic agents can effectively use Antigravity skills.

• Direct Prompting: Copy the content of a SKILL.md file into your Claude prompt. For instance, if you want Claude to follow a specific API design pattern, copy the api-design-principles/SKILL.md content and preface your request with it.
• Plugins: For more advanced, recurring use cases, explore dedicated plugin integrations. Antigravity Awesome Skills offers distributions designed for plugin compatibility.
  • Refer to the Plugins documentation for detailed setup instructions for Claude and Codex.

Cursor

Cursor, as an AI-powered IDE, can seamlessly leverage skills available in your local repository.

1. Clone the Repository: Ensure the antigravity-awesome-skills repository is cloned and accessible within your Cursor workspace.

   git clone https://github.com/sickn33/antigravity-awesome-skills.git
   cd antigravity-awesome-skills
   

2. Reference Skills: When prompting Cursor, you can instruct it to reference specific skill files relative to your workspace.
   • Example: "Using the api-design-principles/SKILL.md from this project, generate a FastAPI template for user management."
   • Cursor's context awareness will allow it to read and apply the instructions from the specified markdown file.

Codex CLI / OpenAI Agents

For agents interacting via command-line interfaces or OpenAI's API, skills can be integrated by providing their content as part of your prompts or fine-tuning data.

• CLI Tools: When using a CLI that supports multi-turn conversations or file input, you can pipe the content of SKILL.md files into the agent's input.
• API Calls: For programmatic integration, read the SKILL.md content and include it as part of the system or user messages in your API requests to OpenAI models.
• Python-based Skills: Many skills include executable Python scripts (e.g., API validators, client wrappers) which can be directly invoked by agents capable of running code.

Gemini CLI (Google)

Similar to Codex CLI, Gemini CLI and other Google AI agents can consume skills in a structured manner.

• Local Reference: If running locally, instruct Gemini to reference skill files from your installed Antigravity Awesome Skills directory.
• Prompt Engineering: Include relevant SKILL.md content directly in your Gemini prompts to guide its behavior.
• Tool Calling: If your Gemini setup supports tool calling, you can expose the underlying scripts (like the API validator or benchmark tools) as functions for Gemini to invoke.

GitHub Copilot

GitHub Copilot benefits from context within your open files.

• Contextual Awareness: Having the antigravity-awesome-skills repository open in your IDE (VS Code, etc.) allows Copilot to draw context from the SKILL.md files when you're working on related code.
• Inline Suggestions: As you write code, Copilot can use the patterns and best practices outlined in nearby SKILL.md files to provide more relevant and constrained suggestions.
• Chat Integration: If using Copilot Chat, you can explicitly direct it to reference a skill by name or path within your workspace.

Installing Skills for Local Access

To make skills readily available for local integration, install the library using npx:

npx antigravity-awesome-skills install

This command will install the skills into a local directory, typically ~/.antigravity-awesome-skills or a similar path, making them easily discoverable for agents configured to access local files.

Example Usage (Conceptual)

While exact syntax varies by agent, the general principle is to instruct the AI to use a specific skill:

// Example instruction to an AI Agent
"Use the 'api-design-principles' skill from the 'antigravity-awesome-skills' library. I need a production-ready FastAPI template for managing users, including authentication and pagination. Pay close attention to error handling and security best practices defined in the skill."

By providing these structured playbooks, Antigravity Awesome Skills helps your AI agents operate more effectively and deliver higher-quality results across a multitude of development tasks.