“multi-agent orchestration”

Use when users want to install or set up the atelier-pipeline multi-agent orchestration system in their project.

Coordinate specialized agent roles across complex tasks using dependency-aware planning, explicit ownership, structured handoffs, safe integration, and…

Divide exploration among subagents with explicit robot or environment ownership and complementary motion or subtask goals, and combine their results.

Orchestrates multi-agent code review.

The master program for producing or editing a video end to end — read this at the START of any video task (after video-router), then follow the gates and the…

Use when coordinating multiple specialist agents, selecting workflows, managing handoffs, and verifying end-to-end completion.

Advanced multi-agent orchestration with parallel workers, synthesis protocols, and coordinator lifecycle.

Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster.

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

Scaffold a repo-local autonomous agent orchestration workflow with orchestrator prompts, worker prompts, issue files, project state, status tracking, and…

Orchestrates multi-agent backend API code review.

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

Multi-agent orchestration for Claude Code — consensus review, adaptive dispatch, skill learning

Multi-agent patterns covering task decomposition, agent specialization, result aggregation, error handling, and context sharing

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

Product Manager / facilitator mode for orchestrating multi-agent, multi-task work.

Open-source desktop workspace that runs, supervises and follows coding agents across git worktrees, from task to merged pull request.

Dev Session Canvas - Multi-Agent Workbench

devsessioncanvas

A shared visual canvas for managing parallel AI agent and terminal sessions in VS Code.

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

Use when delegating bounded subtasks to another agent or lighter model through Codex CLI, Hermes CLI, Antigravity CLI, or a local orchestration script to save…

Odai 的可选多能力编排。用户要求分工、独立规划或审查、并行制作，或为 Codex、Claude Code、Copilot 配置模型路由时使用；治理技能 odai 独立可用。

Coordinate multiple agents — routing, delegation, parallelism, state sharing, and result aggregation.

Coordinate 2+ AI models (DeepSeek V4 Flash, Qwen 3.8 Max, GLM 5.2, GPT-5.5) for parallel review, cross-validation, or bulk work via Orca orchestration.

Use when Codex needs to coordinate multiple agents with roles, task lifecycles, handoff protocols, artifact sharing, or review gates.