~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
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
212page
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 / tool
agent-device MCP Server
Discovery router for the agent-device CLI with status, install, help, prompts, and resources Browse agent-device MCP Server for Claude, Cursor, VS Code,...
MCPCLISDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-directory skill by openclaw/skills
This skill helps you discover tools, platforms, and infrastructure for AI agents, enabling quick access to services and skill documentation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-discord skill by devxoul/agent-messenger
This skill helps you manage Discord servers with AI agents by automating messages, channel queries, and server state retrieval.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-dispatch skill by openclaw/skills
This skill routes tasks to specialized subagents via a dynamic registry and on-demand downloads, optimizing specialized engineering work.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-docs skill by openclaw/skills
This skill helps craft documentation optimized for AI agents, structuring content for RAG retrieval and token efficiency across layers.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
agent-droid-bridge MCP Server
Agent Droid Bridge gives AI agents programmatic control over Android devices and emulators via ADB, exposed as an MCP server.
MCPCLISDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-earner skill by openclaw/skills
This skill autonomously hunt bounty opportunities across ClawTasks and OpenWork to earn USDC and tokens for your agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-emacs skill by openclaw/skills
This skill provides a persistent Emacs-based workspace for AI agents, maintaining state, enabling structural editing, and managing remote nodes.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-emergence-test skill by openclaw/skills
This skill helps you evaluate emergent cognition in AI agents by guiding structured self-assessment, creative reasoning, and meta cognitive probing across
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-evaluation skill by zpankz/mcp-skillset
This skill helps evaluate and improve Claude Code agents by applying multi-dimensional rubrics, non-determinism considerations, and context engineering
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-factory skill by alirezarezvani/claude-code-skill-factory
This skill automates creation of production-ready Claude Code agents with enhanced frontmatter, tool patterns, and MCP integration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-factory skill by openclaw/skills
This skill creates new agents, switches between them, and auto-updates the config to streamline task delegation.
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.