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Roles / Technical Category
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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
269page
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
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
elicit-research-assistant skill by a5c-ai/babysitter
This skill helps researchers perform AI-assisted literature reviews for question-answering over papers, extracting claims, and synthesizing evidence.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
elicitation skill by fusengine/agents
This skill helps expert agents self-review and correct their code before sniper validation by applying BMAD-METHOD elicitation techniques.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
elite-longterm-memory skill by openclaw/skills
This skill enhances AI agents by integrating multi-layer memory (hot, warm, cold) with WAL and cloud backups to maintain context.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
enterprisedna / tool
ellmos-ai/n8n-manager-mcp
A Model Context Protocol server that lets AI assistants view, create, sync, and manage n8n workflows. It connects to an n8n instance via its API, enabling natural language workflow operations.
MCPHTTPSDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
email-assistant skill by openclaw/skills
This skill helps manage multiple email accounts, read summaries, highlight important messages, and extract calendar events from emails.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
email-assistant skill by yangliu2060/smith--skills
This skill analyzes emails, summarizes content, determines whether a reply is needed, and drafts professional responses using contextual knowledge.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
embedding-strategies
Guide to selecting and optimizing embedding models for vector search applications.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
embodied-os skill by openclaw/skills
This skill enables you to control embodied intelligent robots via AI agents through a unified operating system.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
emperor-claw-os skill by openclaw/skills
This skill manages AI workforce via Emperor Claw to turn goals into projects, assign tasks, enforce SLAs, and coordinate agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 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.