orchestration▌

Comprehensive patterns for building and coordinating AI agents -- from single-agent reasoning loops to multi-agent systems and framework selection. Each category has individual rule files in rules/ loaded on-demand.

Comprehensive guide to running ML workloads across clouds with automatic cost optimization using SkyPilot.

Orchestrate full-stack feature development across backend, frontend, and infrastructure layers with modern API-first approach:

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

Ensure that ideas become designs, designs are reviewed, and only validated designs reach implementation.

Use this skill when managing TestFlight testers, groups, and build distribution.

The Multi-Agent Optimization Tool is an advanced AI-driven framework designed to holistically improve system performance through intelligent, coordinated agent-based optimization. Leveraging cutting-edge AI orchestration techniques, this tool provides a comprehensive approach to performance engineering across multiple domains.

Orchestrate multi-container applications with declarative YAML configuration, networking, volumes, and production-ready deployments. \n \n Define entire application stacks in YAML with services, networks, volumes, and secrets; automatic service discovery enables inter-container communication by name \n Supports development, staging, and production workflows through compose file overrides and environment-specific configurations with health checks and restart policies \n Includes 16+ real-world pa

Coordinate specialized agents to solve complex problems through orchestrated workflows and collaborative reasoning. \n \n Supports four core orchestration patterns: sequential task chains, parallel execution, hierarchical delegation, and consensus-based debate \n Includes templates and examples for CrewAI, AutoGen, LangGraph, and OpenAI Swarm frameworks \n Provides utilities for agent communication (message brokers, shared memory), workflow management (execution, optimization, monitoring), and p

Orchestrate subagents, plan multi-step tasks, and require human approval for sensitive operations. \n \n Delegate work to specialized subagents via the task tool; custom subagents support isolated tool sets and system prompts, while the default \"general-purpose\" subagent inherits main agent configuration \n Plan and track complex workflows with write_todos , organizing tasks across pending, in-progress, and completed states; requires a thread_id for persistence across invocations \n Implement