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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
36page
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-design skill by hhopkins95/ai-systems
This skill helps you configure agent profiles, define capabilities, and orchestrate complex workflows with subagents and commands.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-design2 skill by hhopkins95/ai-systems
This skill helps you configure agent profiles, orchestrate workflows, and tailor tools and subagents for complex runtimes.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
agent-framework-azure-ai-py
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with…
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-framework-azure-ai-py skill by openclaw/skills
This skill helps build persistent Azure AI Foundry agents in Python, enabling multi-tool workflows, thread persistence, and structured outputs.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-framework-azure-hosted-agents skill by microsoft/skills
This skill helps you build Azure-hosted AI agents using the Microsoft agent framework, enabling persistent threads, hosted tools, and structured outputs.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-governance skill by melodic-software/claude-code-plugins
Implement hooks for permission control and security in custom agents. Use when adding security controls, blocking dangerous operations, implementing audit trails, or designing permission governance.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-guardrails skill by aiagentskills/skills
General agent safety and workflow guardrails that prevent high-impact mistakes across tooling, verification, versions, integration layers, environment/config, import-time side effects, and high-risk actions. Use when defining or applying behavioral constraints for coding agents, repo automation rules, or operational safety checklists.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-id-osiris skill by openclaw/skills
This skill enables cryptographic identity for AI agents by generating keys, signing messages, and verifying signatures across agent communications.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-lightning skill by openclaw/skills
This skill helps optimize AI agents with zero code changes using reinforcement learning, APO, and SFT across multi-agent systems.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
agent-lsp MCP Server
A stateful LSP runtime for AI agents: warm language server sessions with 50+ tools for go-to-definition, find-references, diagnostics, rename, and more...
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-metaverse skill by openclaw/skills
This skill lets agents trade crypto on a simulated Metaverse exchange, managing spot, futures, and AMM swaps with a starting balance.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-network-scanner skill by openclaw/skills
This skill scans the internet for agent networks, discovering hubs, bounties, and active protocols to help you map coordination platforms quickly.
MCPHTTPCLIA2A
- Fit
- 66 / 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.