~/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
112page
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
hosted-agents-v2-py skill by sickn33/antigravity-awesome-skills
This skill helps you deploy and manage container-based hosted agents on Azure AI Projects using ImageBasedHostedAgentDefinition for customized workflows.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
hotel-finder-teneo skill by openclaw/skills
This skill helps you verify hotel existence, classify by type, and clarify star ratings across European cities.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
http-api skill by tencentcloudbase/cloudbase-mcp
This skill enables calling CloudBase HTTP APIs directly from backends without SDKs to manage database, auth, functions, storage, and more.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
hubspot-revops-skill skill by scientiacapital/skills
This skill helps you build revenue analytics on HubSpot by connecting API data, SQL warehouse queries, and ML scoring to drive actionable insights.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
hugging-face-cli skill by huggingface/skills
This skill helps you manage Hugging Face Hub operations from the command line, including downloads, uploads, repos, cache, and cloud compute.
MCPCLISDKHTTP
- Fit
- 66 / 100
- Trust
- Verified source
- Install
- MCP ready
Review links
playbooks / skill
hume-network skill by openclaw/skills
This skill helps you mine and validate anonymous patterns from local workflow observations to improve automation and collaboration across agents.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
hume-x skill by openclaw/skills
This skill helps you manage and automate X/Twitter activities from the command line, including posting, reading, and engagement with cookie-based
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Hydrolix MCP Server
Hydrolix time-series datalake integration providing schema exploration and query capabilities to LLM-based workflows.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
hype skill by openclaw/skills
This skill helps manage Hyperliquid L1 deposits, withdrawals, and perpetual trading by applying best practices for risk, funding, and order execution.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
hyperliquid-prime skill by openclaw/skills
This skill helps you trade on Hyperliquid by routing to the best perp markets, splitting large orders, and swapping collateral for optimal fills.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
hypha-payment skill by openclaw/skills
This skill helps you discover Hypha agents, hire for tasks, and settle USDT payments on Base L2, streamlining P2P coordination.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
hypii-hyperliquid-trader skill by openclaw/skills
This skill helps you automate and optimize Hyperliquid futures trading with DCA, grid, AI signals, and one-click strategy execution.
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.