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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
211page
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
agent-commerce-engine skill by openclaw/skills
This skill enables autonomous agents to connect with any headless e-commerce backend via a unified protocol for discovery, cart, and user management.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-config skill by openclaw/skills
This skill helps intelligently modify agent core context files to tune behavior, update rules, and refine prompts for safer, more effective operation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-constitution skill by openclaw/skills
This skill helps enforce governance and compliance for agents on Base Sepolia by checking compliance, reading rules, and logging actions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-coordination skill by d-oit/do-novelist-ai
This skill coordinates multiple agents to orchestrate parallel, sequential, swarm, or iterative workflows across languages, boosting development speed and
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-council skill by openclaw/skills
This skill helps you create and manage autonomous AI agents with Discord integration, generating personality files, memory, and channel bindings.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-create skill by muranustb/skills-create_skills
专业的 AI Agent 开发助手，支持 LangGraph、AgentScope、DeepAgent、AutoGen、CrewAI 等主流框架的完整开发流程
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-creator skill by agdev/claude-code
Expert guidance for creating effective Claude Code agents (subagents). Use when users want to create a new agent, update an existing agent, or learn agent design best practices. Covers agent architecture, prompt engineering, tool selection, model choice, and common pitfalls. Integrates with skill-creator when agent needs accompanying skills.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-creator skill by enoch-robinson/agent-skill-collection
This skill helps you design and configure AI agents by defining roles, prompts, tools, workflows, and guardrails for scalable collaboration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-credit-system skill by openclaw/skills
This skill helps you manage credit for AI agents by borrowing USDC based on Moltbook karma, with tiered limits and 0% interest.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-design skill by dasien/claudemultiagenttemplate
This skill designs AI agents for software tasks by mapping tools, defining personas, and selecting capabilities to achieve targeted outcomes.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-design skill by fusengine/agents
This skill helps you design high-performance AI agents using 2025 patterns and clear architecture templates for scalable, flexible automation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-development skill by letta-ai/skills
This skill guides you through architecting Letta agents, memory design, model selection, and tool configuration to build effective Letta agents.
MCPCLISDK
- 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.