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Found 758 Skills
Orchestrate jobs via depth propagation, parallel decomposition, relations, and control signals
Complete guide for Apache Airflow orchestration including DAGs, operators, sensors, XComs, task dependencies, dynamic workflows, and production deployment
Manage concurrent background workers with scheduling, dependencies, health monitoring, and automatic disabling of failing workers.
Use when implementing distributed transactions, coordinating multi-service workflows, handling compensating transactions, or asking about "saga pattern", "distributed transactions", "compensating actions", "workflow orchestration", "choreography vs orchestration"
Agent orchestration patterns for agentic loops, multi-agent coordination, alternative frameworks, and multi-scenario workflows. Use when building autonomous agent loops, coordinating multiple agents, evaluating CrewAI/AutoGen/Swarm, or orchestrating complex multi-step scenarios.
Use when coordinating non-trivial implementation work, executing implementation plans, or modifying AGENTS.md/CLAUDE.md.
Orchestrate multi-service AWS workflows with autonomous agents. Coordinates across compute, storage, identity, and observability services for intelligent cloud automation.
How an AI agent plans, builds, and deploys a complete Ethereum dApp. The three-phase build system for Scaffold-ETH 2 projects. Use when building a full application on Ethereum — from contracts to frontend to production deployment on IPFS.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Bootstrap lean multi-agent orchestration with beads task tracking. Use for projects needing agent delegation without heavy MCP overhead.
Pueue job queue for long-running tasks on remote GPU workstations. TRIGGERS - run on bigblack, run on littleblack, queue job, long-running task, cache population, batch processing, GPU workstation.
Documentation-first task execution with quality checks and progress tracking. Use when working with task lists, implementing features, or executing multi-step work to ensure systematic completion with proper documentation review.