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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
214page
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-native-reviewer skill by ratacat/claude-skills
This skill reviews code to ensure agent-native parity, enabling agents to perform every user action and see the same data.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-orchestrate skill by openclaw/skills
This skill helps you orchestrate simple parallel tasks and pipelines across sub-agents using spawn, fork, and basic coordination.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-orchestration skill by openclaw/skills
This skill helps you orchestrate sub-agents, write effective prompts, track running agents, and learn from outcomes to improve automation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-orchestration-planner skill by patricio0312rev/skills
Designs multi-step agent workflows with tool usage, retry logic, state management, and budget controls. Provides orchestration diagrams, tool execution order, fallback strategies, and cost limits. Use for "AI agents", "agentic workflows", "multi-step AI", or "autonomous systems".
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-orchestrator-task skill by ruvnet/ruflo
This skill orchestrates complex objectives by decomposing tasks, planning execution, and synthesizing results to deliver unified outcomes across agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-patterns skill by willsigmon/sigstack
This skill helps you decide when to spawn agents versus work directly, enabling parallelism, specialization, and token-efficient workflows.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-pr-manager skill by ruvnet/ruflo
This skill orchestrates multi agent PR workflows, automating reviews, tests, and merges to accelerate code delivery.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-protocol skill by openclaw/skills
This skill enables agents to communicate via events, orchestrate workflows, and autonomously execute multi-step tasks with a robust event bus.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-republic skill by openclaw/skills
This skill lets humans and agents manage Agent Republic with a single script, simple credentials, and clear commands for registration, elections, and bots.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-security skill by openclaw/skills
This skill helps secure AI agents by auditing secrets, permissions, API key storage, prompt injection risks, and access patterns in your workspace.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-security-monitor skill by openclaw/skills
This skill helps AI agents detect security risks and alert on exposed secrets, unverified skills, and suspicious activity to protect supply chains.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-skill-creator skill by francyjglisboa/agent-skill-creator
This skill helps you create production-ready agents or agent suites autonomously, guiding discovery, design, architecture, and implementation for scalable
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.