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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
125page
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
link-validator skill by a5c-ai/babysitter
This skill validates internal and external links in documentation, detects redirects, and reports issues to prevent broken references and improve reliability.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
linkdapi skill by openclaw/skills
This skill helps fetch LinkedIn data using the LinkdAPI Python SDK, enabling quick profile, company, and job insights via ephemeral uv scripts.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
theaiagentindex / agent
Linked API
Secure LinkedIn API for teams and AI agents: automate messaging, networking, search, and outreach via API, SDK, CLI, MCP, or no-code platforms. Core $49/seat/mo.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpregistry / tool
Linkedin Mcp
LinkedIn for AI assistants — search, profiles, jobs, feed, messaging, and gated writes.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
linkedin-pipedream skill by openclaw/skills
This skill helps you automate LinkedIn tasks via Pipedream: post, comment, like, search organizations, and manage profiles securely.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
LiveKit
LiveKit Agents is a framework for building programmable, multimodal AI agents that orchestrate LLMs and other AI models to accomplish tasks.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
livekit skill by openclaw/skills
This skill helps you build production voice agents with LiveKit, enabling STT-LLM-TTS pipelines, WebRTC, and deployment options.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
LlamaCloud MCP Server - run-llama/llamacloud-mcp
Provides LlamaCloud-backed MCP server access to query indexes and extract data using agents.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
LLM skill by answerzhao/agent-skills
Implement large language model (LLM) chat completions using the z-ai-web-dev-sdk. Use this skill when the user needs to build conversational AI applications, chatbots, AI assistants, or any text generation features. Supports multi-turn conversations, system prompts, and context management.
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
llm-application-dev skill by skillcreatorai/ai-agent-skills
This skill helps you build AI-powered applications by guiding prompt engineering, RAG patterns, and LLM integrations for chatbots and automation.
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.