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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
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
This skill helps you connect to MCP servers and convert them into reusable tools, accelerating repeated integrations.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you through initializing Convex agents, managing threads, and generating LLM responses for chat-based interactions.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Tracks LLM token consumption and usage metrics for billing, monitoring, and optimization. Use this to log token usage, calculate costs, generate invoices, and understand which agents or users consume the most resources.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Implement Convex authentication and authorization patterns with OIDC providers or Convex Auth. Use for auth provider setup, ctx.auth usage, user identity handling, and auth-aware schema patterns. Use proactively when users mention auth, JWT, Clerk/Auth0/WorkOS, or Convex Auth. Examples: - user: "Add auth to Convex" → choose provider and outline setup - user...
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you embed agentic Copilot workflows in apps, enabling streaming responses, tool integration, and session management.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you in using the GitHub Copilot SDK to build, configure, and customize agents across languages.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps implement correlation IDs and distributed tracing across microservices to improve observability, debugging, and request-flow analysis.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you implement production-grade Azure Cosmos DB services in Python with clean architecture, dual authentication, and test-driven patterns.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Enables AI agents to interact with the Courier notification API, allowing them to send messages, manage profiles, debug deliveries, configure lists, and more through 60 tools.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you integrate Covalent GoldRush API across Foundational and Streaming services, enabling secure, real-time blockchain data access.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill connects your AI agent to Hannah and Elena for marketing research and operational planning via API or email.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage token launches on Solana by validating JSON input and coordinating deployment, post creation, and result notifications.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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Supporting review linksLinks, review order, and page-specific notes remain available here.
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.