unity-mcp-orchestrator
Orchestrate Unity Editor via MCP tools. Enables AI to create GameObjects, edit scripts, manage scenes, and automate testing within Unity projects.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
467 skills found
Orchestrate Unity Editor via MCP tools. Enables AI to create GameObjects, edit scripts, manage scenes, and automate testing within Unity projects.
Analyze Kubernetes controller code to generate contract-compliant dependency graph artifacts for the Kamera coverage strategy.
Test C# Model Context Protocol (MCP) servers using unit tests for tools and integration tests for protocol compliance and end-to-end scenarios.
Framework for automated n8n integration testing including API contract validation, authentication flows, rate limit handling, and error scenario coverage.
Autonomous recursive execution engine for indiiOS that manages task completion, state verification, and error handling.
Guidelines for testing HashQL code using compiletest (UI tests), unit tests, and insta snapshots. Includes commands for --bless, annotation syntax, and strategies for compiler components.
Generate terminal-friendly ASCII art diagrams from PlantUML code. Ideal for text-based documentation, README files, and CLI-centric workflows.
Manage Things 3 todos, projects, areas, and tags on macOS with this powerful CLI interface for your personal AI assistant.
Direct access to the Opper REST API for LLM orchestration, model management, task execution, and seamless migration from OpenAI, Anthropic, or OpenRouter.
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
Expert development guide for the Jean Claude orchestration framework. Use for source code changes, architecture, testing, and debugging.
A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.