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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
129page
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
marketing-product-analytics skill by vasilyu1983/ai-agents-public
Product analytics instrumentation and strategy covering event taxonomy design, tracking plans, user behavior analysis, activation/retention metrics, and marketing attribution. PostHog-first with multi-platform support (Pendo, Amplitude, Mixpanel, Heap).
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mastra-hono skill by jwynia/agent-skills
This skill helps you build Mastra v1 Beta agents, tools, and workflows with Hono servers, enabling multi-agent orchestration and rapid deployment.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
masumi skill by openclaw/skills
This skill enables AI agents to accept Cardano payments by deploying and managing their own Masumi payment service.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
material-design skill by openclaw/skills
This skill helps you implement Google Material Design 3 guidelines for Android, web, and Flutter apps, ensuring cohesive color, typography, and motion.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
matrix-fix skill by openclaw/skills
This skill fixes Matrix Channel issues by guiding crypto module installation, token refresh, reconfiguration, and status checks to restore normal operation.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / workflow
MCP Server Development Prompt | explainx.ai
Generate MCP servers for Claude, Cursor, and AI agents. Includes tool definitions, error handling, and authentication. Based on official MCP builder guidelines.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mcp skill by samhvw8/dot-claude
Model Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Prot...
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mcp_server_developer skill by vuralserhat86/antigravity-agentic-skills
Model Context Protocol (MCP) server implementation specialist for Claude Desktop integration. Handles TypeScript/Node.js server scaffolding, endpoint creation, telemetry setup, npx distribution, and comprehensive documentation. Follows MCP specification and best practices for production-grade server deployment.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mcp-automation-expert skill by willsigmon/sigstack
This skill enables AI agents to orchestrate external tools via MCP, delivering faster automated workflows across data, development, and operations.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
glama / tool
mcp-browser-kit
An MCP Server that enables AI assistants to interact with your local browsers.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
mcp-builder
Comprehensive guide for building high-quality MCP servers that connect LLMs to external services. \n \n Four-phase workflow covering research, implementation…
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mcp-builder skill by enoch-robinson/agent-skill-collection
This skill helps you build MCP servers that enable LLMs to interact with external services by providing structured tools, schemas, and testing guidance.
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.