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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
121page
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
langchain-upgrade-migration skill by jeremylongshore/claude-code-plugins-plus-skills
This skill guides you through upgrading LangChain versions and migrating APIs, ensuring safe, verifiable migrations across imports, chains, memory, and agents.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langextract-search skill by openclaw/skills
This skill orchestrates DuckDuckGo and Zai search with Ark and GLM extraction to deliver structured results and saves workflow data.
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
langfuse-common-errors skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you diagnose and fix common Langfuse errors quickly by guiding verification, matching errors, and applying proven solutions.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langfuse-core-workflow-a skill by jeremylongshore/claude-code-plugins-plus-skills
This skill enables end-to-end LLM tracing with automatic OpenAI integration and manual spans to improve observability and debugging.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langfuse-debug-bundle skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you gather Langfuse diagnostic data and create a privacy-preserving support bundle for faster troubleshooting.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langfuse-observability skill by yonatangross/orchestkit
This skill helps you set up Langfuse observability, monitor LLM costs, and manage prompts for production with tracing and evaluation.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langfuse-prompt-migration skill by langfuse/skills
Migrate hardcoded prompts to Langfuse for version control and deployment-free iteration. Use when user wants to externalize prompts, move prompts to Langfuse, or set up prompt management.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langfuse-reference-architecture skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you design and implement Langfuse reference architectures for observability, deployment, and enterprise-grade tracing at scale.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langfuse-sdk-patterns skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you implement Langfuse SDK patterns, ensuring proper tracing, robust lifecycles, and idiomatic observability across apps.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langgraph-multiagent skill by bjornmelin/dev-skills
Architect-level development, audit, and migration of multi-agent systems using LangGraph (v1+) and LangChain (v1+). Use when building or refactoring supervisor/subagent architectures, orchestrator-worker workflows, routing/hand-offs, agentic RAG, memory (short + long-term), state + context engineering, guardrails + human-in-the-loop, MCP tool integration, o...
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
LangSmith
LangSmith is an all-in-one developer platform for every step of the LLM-powered application lifecycle, whether you’re building with LangChain or not.
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.