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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
68page
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
chitin-id skill by openclaw/skills
This skill helps you manage and verify AI agent identity with on-chain CCSF hashing, ERC-8004 passport, and soul certificates across ecosystems.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cine-cog skill by openclaw/skills
This skill lets you generate cinematic visuals from a single prompt, delivering character-consistent, widescreen films with full production pipelines.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
CircleCI MCP Server
Enable AI Agents to fix build failures from CircleCI. Browse CircleCI MCP Server for Claude, Cursor, VS Code, and other AI agents.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
enterprisedna / agent
Claude Computer Use
Computer Use is the Anthropic capability that lets Claude control a desktop the same way a human does: it looks at a screenshot, decides where to click, types, scrolls, and reads the next screenshot to plan its next move. Shipped as an API capability; reference Docker image makes it easy to spin up in a sandbox.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / model
Claude Opus 4.7
Claude Opus 4.7 is Anthropic's most capable generally available model, designed for complex reasoning and agentic coding. It supports text and image input, t…
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / model
Claude Opus 4.8
Claude Opus 4.8 introduces enhancements in coding, long-running agentic work, and complex knowledge tasks. It offers a fast mode for quicker outputs and a ne…
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
claude-agent-sdk skill by jackspace/claudeskillz
This skill helps you build autonomous Claude-powered agents with MCP servers, subagents, and tool orchestration for production-ready workflows.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
claude-agent-sdk skill by openclaw/skills
This skill helps you build autonomous agents with Claude Agent SDK, enforcing structured outputs and robust error prevention for reliable workflows.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
claude-agent-sdk skill by ovachiever/droid-tings
This skill enables autonomous Claude Agent workflows with structured outputs, type-safe schemas, and plugin hooks for reliable, verifiable responses.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
claude-agent-sdk skill by sammcj/agentic-coding
This skill helps you architect and implement Claude Agent SDK workflows with best practices for Python and TypeScript.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
claude-agent-sdk skill by trotsky1997/my-claude-agent-skills
This skill helps you build autonomous Claude agents that read files, edit code, run commands, and manage complex workflows.
MCPHTTPCLISDK
- Fit
- 66 / 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.