Applying Skills to Your Agent

This section guides you through the process of integrating and executing Antigravity Awesome Skills with various AI coding assistants. At its core, applying a skill means providing your agent with the structured instructions and context it needs to perform a specific task effectively.

The Core: SKILL.md Playbooks

Each skill in the Antigravity Awesome Skills library is defined by a SKILL.md file. This Markdown file acts as a "playbook," containing:

Objective: What the skill aims to achieve.
Context: Necessary background information.
Constraints: Rules and limitations for the agent.
Output Format: How the agent should present its results.
Assets: Code snippets, templates, or scripts that the agent can use or generate.

To apply a skill, you essentially provide the content of its SKILL.md playbook to your AI agent, along with your specific request.

General Workflow for Applying a Skill

Regardless of your chosen agent, the general steps to apply a skill are:

Find Your Skill: Browse the Antigravity Awesome Skills catalog or use the search functionality (if your tool provides it) to locate a skill relevant to your task.
Review the SKILL.md: Open the SKILL.md file for the chosen skill. Understand its objective, inputs, and expected outputs. Pay attention to any setup instructions or dependencies mentioned within.
Prepare Your Agent's Input: Copy the content of the SKILL.md file. You will typically paste this directly into your agent's chat interface, provide it as a file, or use a tool-specific integration.
Formulate Your Prompt: Alongside the skill's content, provide a clear, concise prompt to your agent. This prompt should leverage the skill by explicitly referencing its objective and providing any specific parameters or context your task requires.

Applying Skills with Specific Agents

Here's how to apply skills with some popular AI coding assistants:

Claude Code (and other Anthropic Models)

Claude Code excels at processing large contexts and adhering to structured instructions, making it an ideal partner for Antigravity Awesome Skills.

Copy SKILL.md Content: Navigate to the desired skill in the Antigravity repository, open its SKILL.md file, and copy all its content.
Paste into Conversation: Paste the copied SKILL.md content directly into your Claude Code chat.

Provide Task & Reference Skill: Follow the skill content with your specific task request, explicitly telling Claude to use the provided skill.

You are an expert <role_from_skill>. Use the following skill to help me with my task:

<PASTE_SKILL.md_CONTENT_HERE>

My task: <Your detailed task description, referencing inputs for the skill>

Plugins: For a more integrated experience, explore the Antigravity Awesome Skills Plugins for Claude Code. These plugins often streamline the process of loading and executing skills directly within the Claude interface.

Cursor

Cursor's integrated AI chat and file awareness make it highly effective for applying skills.

Open SKILL.md (or relevant files): You can open the SKILL.md file directly in Cursor, or have it available in your project.
Reference in Chat: In the Cursor AI chat, you can explicitly reference the SKILL.md file.
```
@file <path/to/SKILL.md>
Using the guidance in the above skill, please <your detailed task>.
```
Cursor will read the file and incorporate its context into the conversation.
Direct Paste: Alternatively, copy the SKILL.md content and paste it into the chat, similar to Claude Code. Cursor's context window will parse it.

Gemini CLI

The Gemini CLI allows for efficient interaction, often by piping content or referencing files.

Pipe SKILL.md Content: Use cat or similar commands to pipe the SKILL.md content to the Gemini CLI.

cat skills/<skill-name>/SKILL.md | gemini-cli ask "Using the provided skill, please <your detailed task>."

File Reference (if supported): If your Gemini CLI setup supports direct file references, you might use:
```
gemini-cli ask --file skills/<skill-name>/SKILL.md "Using this skill, <your detailed task>."
```
(Note: Specific Gemini CLI capabilities may vary; refer to its official documentation for the latest methods.)

GitHub Copilot (Chat & CLI)

Copilot often integrates directly into your editor or terminal, providing context-aware suggestions and chat interactions.

Copilot Chat:
- Open the SKILL.md file in your editor.
- In the Copilot Chat window, reference the open file: @workspace /path/to/SKILL.md
- Then, provide your task: Using the guidance in this skill, <your detailed task>.
Copilot CLI:
- For CLI tasks, you might use gh copilot suggest or gh copilot explain.
- You can include the SKILL.md content directly in your prompt or paste it into the terminal before your request.
```
# Example using direct input
gh copilot explain "
<PASTE_SKILL.md_CONTENT_HERE>

My task: <Your detailed task>.
"
```

Other AI Coding Assistants

For other AI coding assistants, the general principle remains:

Maximize Context: Provide the SKILL.md content in a way that allows the agent to process it as part of its prompt or context window.
Clear Instructions: Explicitly tell the agent to "use the provided skill" or "refer to the instructions above" when making your request.
Experiment: Tools vary. Experiment with pasting, file referencing, or custom integrations to find the most effective method.

Leveraging Bundles and Workflows

Beyond individual skills, the Antigravity Awesome Skills library provides:

Bundles: Collections of related skills grouped by role (e.g., frontend-dev, devops). To use a bundle, you would typically provide multiple SKILL.md files (or a curated selection) to your agent.
Workflows: Sequences of skills designed for multi-step operations (e.g., feature-development). Workflows often involve an initial planning skill, followed by coding, testing, and review skills.

For bundles and workflows, you might need to combine the content of several SKILL.md files or rely on dedicated scripts/plugins that manage the flow for you.

Tips for Effective Skill Application

Read the SKILL.md: Always review the skill's content to ensure it aligns with your task and to understand any specific parameters or requirements.
Be Explicit: Clearly state that the agent should use the provided skill. Avoid ambiguity.
Provide Inputs: If the skill expects certain inputs (e.g., a codebase, a problem description, specific data), make sure to include them in your prompt or provide access to them.
Iterate: If the agent's initial output isn't perfect, refine your prompt or the way you've applied the skill. Agents often benefit from follow-up questions and clarifications.
Consider Plugins: If available for your agent, plugins often offer the most seamless and robust way to apply skills, handling file management and context injection automatically.