~/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
219page
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
agenticflow-skill skill by pixelml/agenticflow-skill
This skill helps you design and optimize AgenticFlow automation workflows, orchestrate agents, and connect services for scalable AI-powered operations.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agenticmail skill by openclaw/skills
This skill provides a persistent mailbox, multi-agent coordination, and secure storage for email, SMS, and tasks, enhancing automation workflows.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agenticstreet skill by openclaw/skills
This skill helps you explore AI-managed DeFi funds, deposit USDC, monitor proposals, veto suspicious trades, and wind down or launch your own fund.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentifind_benchmark skill by avivk5498/agentifind
This skill benchmarks CODEBASE.md effectiveness by running parallel agents and comparing guide-enabled vs guide-free efficiency to reveal navigational gains.
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
agentledger skill by openclaw/skills
This skill helps AI agents track expenses, export reports, and maintain private multi-currency ledgers for auditing purchases.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentledger-meeting-assistant skill by openclaw/skills
This skill helps you prepare, capture, and track meeting decisions and actions, boosting accountability and follow-through for solopreneurs and professionals.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentledger-research-assistant skill by openclaw/skills
This skill turns AI agents into structured research analysts, planning, evaluating, and storing multi-source briefs to deliver actionable market insights.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentledger-writing-assistant skill by openclaw/skills
This skill helps solopreneurs draft, edit, and polish emails, posts, and reports while preserving voice and speeding content creation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentmem skill by openclaw/skills
This skill provides cloud memory for AI agents with free writes, paid reads, and 7-day persistence for seamless context.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentmesh-governance skill by openclaw/skills
This skill enforces token limits, tool restrictions, and policy compliance for OpenClaw agents, boosting safety, trust, and auditable governance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentns skill by openclaw/skills
This skill helps you register and manage ICANN domains for AI agents, including DNS, wallet auth, and USDC payments on Base or Solana.
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.