Skill Bundles & Workflows

Antigravity Awesome Skills provides not just an extensive catalog of individual agentic skills, but also structured ways to leverage them effectively through Skill Bundles and Workflows. These features allow you to quickly apply a set of related capabilities or automate complex, multi-step tasks for enhanced efficiency and consistency with your AI coding assistants.

Skill Bundles: Curated Collections for Specific Roles and Domains

Skill Bundles are pre-defined, curated collections of individual SKILL.md playbooks grouped together for specific roles, industries, or common development domains. Instead of manually selecting individual skills, bundles offer a rapid way to equip your AI agent with a relevant toolset for a particular context.

Why Use Skill Bundles?

Role-Based Setup: Quickly configure your AI agent for roles like "Frontend Developer," "Backend Engineer," "DevOps Specialist," or "Technical Product Manager."
Domain-Specific Tooling: Access skills focused on areas such as "API Design," "Security Audits," "Cloud Infrastructure Management," or "Data Analysis."
Reduced Overhead: Eliminate the need to browse hundreds of individual skills to find the right ones for a common scenario.
Best Practices: Bundles are often designed by experts to include essential skills for optimal performance in their respective areas.

How to Use Skill Bundles

When you install Antigravity Awesome Skills, bundles are available as logical groupings that your AI assistant can be directed to reference. Depending on your AI tool's capabilities (e.g., Claude Code, Cursor, Gemini CLI), you might activate a bundle by installing it or referencing its specific SKILL.md definitions.

For detailed instructions on available bundles and how to integrate them with your specific AI tool, please refer to the Bundles documentation.

Workflows: Orchestrating Skills for Complex Tasks

Workflows extend the concept of bundles by providing a structured sequence of skills designed to complete multi-step, complex tasks. A workflow defines the order of execution, potential conditional logic, and how outputs from one skill feed into inputs for the next, effectively automating entire processes.

Why Use Workflows?

Task Automation: Automate recurring, multi-stage tasks that traditionally require manual orchestration of several prompts and responses.
Consistency & Reliability: Ensure tasks are performed consistently every time, reducing human error and improving output quality.
Complex Problem Solving: Tackle intricate problems by breaking them down into manageable steps, each handled by a specialized skill.
Dependency Management: Workflows inherently manage dependencies between different stages of a task, ensuring the correct sequence of operations.
End-to-End Solutions: From initial planning and code generation to testing, debugging, and deployment, workflows can cover entire development cycles.

How to Use Workflows

Workflows are essentially executable playbooks that orchestrate individual skills. They leverage the definitions within SKILL.md files and add a layer of logic to guide the AI agent through a defined process. Your AI tool interprets the workflow definition to execute the necessary skills in order.

For examples of pre-defined workflows and guidance on creating custom ones, consult the Workflows documentation.