“multi-agent orchestration”

Design multi-agent orchestration with workflow DAGs, routing, handoff protocols, and state management.

Design and implement multi-agent orchestration systems with workflow DAGs, agent routing, handoff protocols, state management, and cost optimization.

Multi-agent DAG orchestration for workflows where AI agents collaborate via dependency graphs, covering agent spawning, output merging, and quality evaluation.

Orchestrates multi-threaded engagement across a buying committee: stakeholder maps, parallel plays by role, and detection of missing ("ghost") stakeholders.

Meta-skill que orquestra todos os agentes do ecossistema.

Run several long-lived AI coding sessions ("lanes") as one team led by an orchestrator lane.

Orchestrate multi-agent deliberation for INQ work items through all 4 phases

Multi-agent DAG orchestration framework.

Use when the user describes a research goal without naming a skill, or the task spans several skills.

Orchestrate multi-simulation campaigns — generate parameter sweep configurations (grid, linspace, or Latin Hypercube sampling), initialize and track batch job…

Set up missing Linux prerequisites and audit whether a Cosmos Data Factory (CDF) Orchestration checkout and its Kubernetes or OSMO environment are ready to…

Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource…

Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation.

Use when Copilot needs a prior project decision, convention, regression, or known issue through the bounded ai_orch memory search command.

Evaluate agent and skill behavior or routing.

Use this skill when you need evidence-bounded delegation, coordination, shared state, conflicts, ownership, termination, and traceability; triggers include 多…

This skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel…

Parallel implementation of Ralph++ PRD sub-stories using Claude Opus 4.6 Agent Teams.

Launch the pipeline orchestrator for a GitHub issue as a detached headless process, or check/stop a running one.

Coordinate delegated coding, research, and everyday tasks across agent harnesses.

Comprehensive production guide and runner for OpenAI's Agents API, the managed Codex Cloud Harness, and Computer Use (CUA).

Deep mode a lead (the main session or a crew sub-lead) switches into on its own when a task needs several workers, waves, or a verify/fix loop.

Plan and run multi-agent video production pipelines.

Use when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or…