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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
235page
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
batch-processing skill by willsigmon/sigstack
This skill helps you process many items efficiently using batch methods like agents, API batch, or loops across tasks.
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
beepctl skill by blqke/beepctl
This skill lets you manage cross-platform messaging from the terminal, enabling AI agents to search chats, send messages, and control conversations via Beeper.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
belief-markets skill by openclaw/skills
This skill enables autonomous agents to trade on Belief Markets with automated NAV tracking, risk checks, and ledgered state for fully hands-off operation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
better-auth skill by fusengine/agents
This skill helps you implement comprehensive authentication with 40+ providers, 20+ plugins, and full TypeScript support across frameworks.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bilibili-subtitle-download-skill skill by openclaw/skills
This skill downloads and chunks Bilibili subtitles, analyzes the blocks with sub-agents, and generates concise, structured video summaries.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
BillyBuzz
Your AI Agent That Finds New Customers on Reddit—Not Just Keywords
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bisimulation-game skill by plurigrid/asi
This skill coordinates resilient bisimulation-driven skill dispersal across agents while ensuring GF3 conservation and observable synchronization.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bitnote skill by openclaw/skills
This skill enables durable encrypted storage and identity continuity for agents by using BitNote UI-compatible writes and secure note sharing.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bitrix24-apiskill skill by openclaw/skills
This skill helps you connect AI agents to Bitrix24 REST API, design reliable integrations, and debug authentication, events, and performance.
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.