ADK Developer
A comprehensive guide and reference for building, orchestrating, and deploying AI agents using the Google Agent Development Kit (ADK).
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
445 skills found
A comprehensive guide and reference for building, orchestrating, and deploying AI agents using the Google Agent Development Kit (ADK).
Package Castella UI applications into cross-platform executables, macOS app bundles, or installers using ux, PyInstaller, or Nuitka. Includes code signing and notarization support.
System detection and cross-platform command execution engine for managing OS-specific infrastructure and development environments.
CMMI-based SDLC router providing process guidance, requirements management, architectural decision support, quality assurance, and governance for GitHub and Azure DevOps workflows.
Manage isolated LlamaFarm development environments using git worktrees for parallel agent sessions and service testing.
Optimize developer experience for multi-component solutions: standardize onboarding, inner-loop, debugging, and cross-platform setup to eliminate friction and tribal knowledge.
AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.
Dynamic meta-router for managing and orchestrating multi-domain AI coding agent skills across plugins and projects.
Expert guidance for Shopify app development, including CLI setup, Remix framework architecture, OAuth flows, app extensions, and production deployment on platforms like Cloudflare Workers.
Classify and group meteorological and environmental variables into specific driver categories for consistent attribution analysis and environmental modeling.
Implement professional-grade test automation strategy, manage test pyramids, detect anti-patterns, and integrate with CI/CD for resilient, fast, and high-quality software testing.
Easily configure and add Model Context Protocol (MCP) servers to various AI coding clients like Cursor, Claude, VS Code, and more using an interactive or automated command-line interface.