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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
40page
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-agent-workflow skill by andrelandgraf/fullstackrecipes
This skill helps build resumable multi-agent workflows with durable execution and automatic stream recovery across client reconnections.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-agents skill by vasilyu1983/ai-agents-public
Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and build-vs-not decision guidance (modern best practices)
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-agents-architect skill by omer-metin/skills-for-antigravity
This skill helps you design and orchestrate autonomous AI agents with robust memory, planning, tool use, and multi-agent coordination for reliable outcomes.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
ai-automation-workflows
Automate AI workflows combining multiple models and services via bash scripting and the inference.sh CLI. \n \n Supports five core patterns: batch processing…
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-automation-workflows skill by openclaw/skills
This skill helps you design and execute automated AI workflows by chaining models and services for content generation, data processing, and monitoring.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-avatar-video skill by openclaw/skills
This skill creates AI avatar and talking head videos using inference.sh CLI with multiple models for lipsync and virtual presenters.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-chat skill by andrelandgraf/fullstackrecipes
This skill helps you build and manage a full-stack AI chat app with persistence, chat list features, and automatic title generation.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-chat-persistence skill by andrelandgraf/fullstackrecipes
This skill helps persist AI chat conversations in Neon Postgres, including AI SDK message parts, tools, reasoning, and streaming for reliable history.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-elements skill by existential-birds/beagle
Vercel AI Elements for workflow UI components. Use when building chat interfaces, displaying tool execution, showing reasoning/thinking, or creating job queues. Triggers on ai-elements, Queue, Confirmation, Tool, Reasoning, Shimmer, Loader, Message, Conversation, PromptInput.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-engineer skill by kienhaminh/anti-chaotic
This skill guides building production-grade GenAI and agentic systems with robust evaluation, advanced RAG, and scalable MLOps.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpregistry / tool
AI-First Scraper
Three MCP tools: fetch_page, fetch_pages_batch, search_web. Ad-free Markdown for AI agents.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ai-ide-developer skill by sandraschi/advanced-memory-mcp
This skill helps you configure and optimize AI IDEs across Windsurf, Cursor, and Zed to maximize productivity and minimize costs.
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.