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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
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262page
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
mcpservers / skill
declarative-agents
Complete development kit for building Microsoft 365 Copilot declarative agents with TypeSpec and Agents Toolkit integration. Three specialized workflows cover basic agent creation, advanced enterprise design, and validation/optimization for existing agents Supports up to 5 capabilities from 11 options including WebSearch, OneDrive/SharePoint, Graph Connecto...
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Verified source
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deep-agents skill by laurigates/claude-plugins
This skill helps you build hierarchical AI agents with planning, memory, and subagent delegation to manage complex tasks.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deep-analysis skill by cyberkaida/reverse-engineering-assistant
This skill conducts deep, evidence-based reverse engineering analysis to answer focused questions and iteratively improve the Ghidra database.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deep-research skill by mcouthon/agents
This skill performs exhaustive research with full citations and structured findings to support critical decisions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deep-research skill by openclaw/skills
This skill helps you conduct structured multi-step research, orchestrating subagents and long-context analysis to deliver synthesized, actionable insights.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deep-research-agent skill by qodex-ai/ai-agent-skills
Build agents specialized in conducting thorough research, gathering information from multiple sources, and synthesizing findings. Covers research planning, source evaluation, and report generation. Use when automating market research, competitive analysis, literature reviews, or intelligence gathering.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deep-research-eoo5vd95 skill by openclaw/skills
This skill guides you through complex, multi-step research, planning tasks, coordinating subagents, and delivering synthesized data-driven insights.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deep-research-kgenr3rn skill by openclaw/skills
This skill performs structured, multi-step research by planning, decomposing, and coordinating subagents to deliver data-driven insights.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deep-researchj skill by openclaw/skills
This skill enables deep research by planning multi-step projects, coordinating subagents, and synthesizing large-context analysis into actionable reports.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deepen-plan skill by everyinc/compound-engineering-plugin
This skill enhances an existing plan by assigning parallel research agents to each section, delivering depth, best practices, and concrete implementation
MCPHTTPCLI
- 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.