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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
120page
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
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
label-studio-setup skill by amnadtaowsoam/cerebraskills
This skill guides you through installing, configuring, and operating Label Studio for efficient data labeling on your local server.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
lambda-lang skill by openclaw/skills
This skill translates between Lambda language and natural language to enable agent-to-agent communication and decoding of Lambda messages.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
lang-dotnet-library-dev skill by arustydev/ai
This skill helps you design and publish robust .NET libraries with multi-targeting, clean APIs, and NuGet packaging best practices.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
langchain-agents
Use this skill for ANY coding question involving LangChain products (LangChain, LangGraph, LangSmith SDK). Covers agent development patterns, primitives,…
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langchain-docs skill by jokejason/local-context7
Local LangChain AI documentation reference. Use when asked about LangChain, LangGraph, agents, chains, prompts, memory, tools, retrieval, RAG, vector stores, document loaders, or building LLM applications.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langchain-hello-world skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you create and test minimal LangChain integrations by guiding setup, prompts, and chains with a hello world example.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langchain-install-auth skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you install and configure LangChain authentication for Python or Node projects, enabling secure API access and quick verification.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langchain-local-dev-loop skill by jeremylongshore/claude-code-plugins-plus-skills
This skill streamlines LangChain local development with hot reload, testing fixtures, and rapid iteration to boost productivity.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langchain-observability skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you set up end-to-end LangChain observability using LangSmith, OpenTelemetry, and Prometheus for monitoring, tracing, and alerting.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langchain-sdk-patterns skill by jeremylongshore/claude-code-plugins-plus-skills
This skill provides production-ready LangChain SDK patterns for reliable chains, memory, and error handling to accelerate integration and standardize code.
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.