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Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
324page
413pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Coordinate several agents around one outcome.
- Assign specialist roles and handoffs.
- Inspect launch packets before running a team.
Recommended trials and bundles
playbooks / skill
mteb-leaderboard skill by letta-ai/skills
This skill guides retrieval of temporally accurate leaderboard results for MTEB and related benchmarks, ensuring correct date, source, and data format.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-blueprint skill by openclaw/skills
This skill helps you orchestrate 5-10 AI agents with cross-agent routing and Telegram integration for coordinated teamwork.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
multi-agent-brainstorming
Structured peer-review process using constrained agents to validate designs and surface hidden assumptions before implementation. \n \n Five specialized agen…
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-cn skill by openclaw/skills
This skill orchestrates five specialized subagents to parallelize tasks, evaluate complexity, and report outcomes, boosting automation and speed.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-coordination skill by madappgang/claude-code
This skill coordinates multiple agents to execute parallel and sequential tasks, selecting the best agents and delegating work while preserving context.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-coordination skill by zpankz/mcp-skillset
This skill coordinates multiple agents in a project, managing sessions, file reservations, and peer communication to prevent conflicts.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-coordinator-zhuyu28 skill by openclaw/skills
This skill coordinates multiple AI agents to orchestrate complex tasks, improving efficiency through structured workflows and cross-agent collaboration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-dev-team skill by openclaw/skills
This skill coordinates a PM and Dev to plan, assign tasks, and implement software projects with collaborative AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-en skill by openclaw/skills
This skill orchestrates five sub-agents to handle tasks in parallel or sequentially, maximizing speed and reliability through round-robin dispatch.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-orchestrator skill by openclaw/skills
This skill helps you rapidly prototype multi-agent systems by generating specialized agents, revealing their structure, and visualizing collaboration patterns.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-parallel-build skill by openclaw/skills
This skill orchestrates multiple coding agents to build UI pages and APIs in parallel, reducing wall-clock time and ensuring cohesive shared infrastructure.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-ai-collab skill by takuan-osho/ccmarketplace
Orchestrate multiple AI agents with specialized personas for cross-review and collaborative development
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
4955 matching candidates for Multi-agent Orchestration. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.