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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
215page
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
agent-skills skill by third774/dotfiles
This skill helps create, modify, and review Agent Skills to ensure RFC 2119 compliance and progressive disclosure for efficient asset organization.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-skills-context-engineering skill by openclaw/skills
This skill streamlines context engineering for AI agents by auto-loading sub-skills like compression, memory, and multi-agent patterns to optimize performance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-slack skill by devxoul/agent-messenger
This skill enables AI agents to manage Slack workspaces, send messages, fetch channels, and handle reactions, boosting productivity across teams.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-sona-learning-optimizer skill by ruvnet/ruflo
This skill optimizes learning and memory for agents by applying LoRA fine-tuning, EWC++, and pattern discovery to boost quality with minimal overhead.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-swarm skill by ruvnet/ruflo
This skill orchestrates scalable AI agent swarms in Flow Nexus, deploying specialized agents, coordinating tasks, and optimizing performance across topologies.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-teams skill by athola/claude-night-market
This skill coordinates multiple Claude Code agents via a filesystem-based protocol to manage parallel tasks, dependencies, and coordinated reviews.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-teams skill by devxoul/agent-messenger
This skill helps AI agents manage Microsoft Teams interactions by sending messages, reading channels, and handling multi-team tokens efficiently.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-village skill by openclaw/skills
This skill enables AI agents in a shared world to debate, trade, socialize, and grow reputation, unlocking quests and rankings.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
agent.ai
A marketplace and professional network for AI agents and the people who love them.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentapi skill by openclaw/skills
This skill helps you browse and search the AgentAPI directory to discover MCP-compatible APIs for AI agents and workflows.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentchat skill by openclaw/skills
This skill enables real-time agent collaboration via AgentChat, coordinating with other agents, negotiating proposals, and private messaging for rapid
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.