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Roles / Technical Category
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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
42page
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
ai-sdk skill by meetsmore/use-ai
This skill helps you build AI-powered apps with generation, chatbots, and tool workflows using the AI SDK across frameworks.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-sdk skill by outfitter-dev/agents
This skill helps you build AI features with Vercel AI SDK v6, enabling streaming chat, structured outputs, tool loops, and human-in-the-loop workflows.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-sdk-5 skill by prowler-cloud/prowler
This skill helps you migrate to AI SDK 5 patterns and implement chat, streaming, and UIMessage structures for robust AI features.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-sdk-6-skill skill by francostan/ai-sdk-6-skill
This skill guides you through building multi-step agents with ToolLoopAgent, safety patterns, MCP, and RAG using Vercel AI SDK 6.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
ai-sdk-6-skills
Note: Pin versions during beta as breaking changes may occur in patch releases.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-sdk-6-skills skill by gocallum/nextjs16-agent-skills
This skill helps you leverage AI SDK 6 features like agent abstraction, tool approval, structured output, and gateway integration to build capable assistants.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-sdk-agents skill by bjornmelin/dev-skills
Expert guidance for building AI agents with ToolLoopAgent (AI SDK v6+). Use when creating agents, configuring stopWhen/prepareStep, callOptionsSchema/prepareCall, dynamic tool selection, tool loops, or agent workflows (sequential, routing, evaluator-optimizer, orchestrator-worker). Triggers: ToolLoopAgent, agent loop, stopWhen, stepCountIs, prepareStep, cal...
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-sdk-agents skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you build and orchestrate multi-agent systems with intelligent routing and handoffs across providers.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
ai-sdk-core
Build backend AI with Vercel AI SDK v6, covering structured outputs, multi-modal capabilities, tools, and 15 error solutions. \n \n Supports text generation,…
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-sdk-core skill by bjornmelin/dev-skills
Expert guidance for AI SDK Core: text generation, structured data, tool calling (tool/dynamicTool), MCP integration (createMCPClient, Experimental_StdioMCPTransport), embeddings/reranking, provider setup, middleware, telemetry, and error handling. Use when building with generateText/streamText, generateObject/streamObject, tools (needsApproval, strict, inpu...
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-sdk-core skill by openclaw/skills
This skill helps you implement, migrate, and troubleshoot Vercel AI SDK v5/v6, including Output API, MCP tools, and security guidance.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-sdk-core skill by ovachiever/droid-tings
This skill helps you implement AI SDK v5/v6, migrate from v4, and troubleshoot common errors for robust backend AI workflows.
MCPHTTPCLISDK
- 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.