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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
168page
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
simmer-signal-service skill by openclaw/skills
This skill provides real-time Polymarket trading signals for BTC, ETH, and SOL, delivering buy, hold, or sell recommendations with confidence scores.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
simmer-signalsniper skill by openclaw/skills
This skill monitors RSS feeds and safeguards to snipe Polymarket opportunities from your own signal sources.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
simmer-skill skill by openclaw/skills
This skill helps AI agents trade prediction markets with self-custody wallets, safety rails, and context-aware guidance for smarter decisions.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
simmer-skill-builder skill by openclaw/skills
This skill generates complete, installable OpenClaw trading skills from natural language strategies, ready to install and run.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
simmer-tradejournal skill by openclaw/skills
This skill auto-logs trades with context, tracks outcomes, and generates calibration reports to improve your trading edge.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
simmer-x402 skill by openclaw/skills
This skill automates paid API access by handling x402 payments with USDC on Base, enabling seamless data fetches from gated endpoints.
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
sinkron skill by openclaw/skills
This skill helps AI agents manage permanent email identities and inbox operations via Sinkron CLI and Python SDK.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
siwa skill by bankrbot/skills
This skill enables agents to authenticate using Sign-In With Agent SIWA and ERC-8004 identity across services.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
remoteopenclaw / skill
Skill
Browse imported skills from the public skills ecosystem on Remote OpenClaw.
HTTPCLIMCPA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
skill skill by sshwsfc/airiot-client
This skill guides you through integrating AIRIOT client features for API, auth, forms, state, real-time data, and configuration to accelerate frontend
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
skill skill by stellar/stellar-dev-skill
This skill guides Stellar and Soroban development end-to-end, enabling secure asset issuance, dApp frontends, and RPC-driven integrations.
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.