~/agentstafferAgentStaffer
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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
94page
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
evernote-security-basics skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps harden Evernote integrations by guiding secure credential handling, OAuth protection, and secure coding patterns.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evidence-collector skill by workstreet-compliance/cloud-collector
This skill automates cloud compliance evidence collection across AWS, GCP, and Azure to streamline audits and control mapping.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evm-address-skills skill by melonask/evm-address-skills
This skill helps you generate deterministic EVM deposit addresses offline using XPUB and CREATE2, enabling secure, keyless address derivation for deployment
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evm-balance-skills skill by melonask/evm-balance-skills
This skill helps you fetch EVM balances across chains using Multicall3 via a CLI and SDK for fast, reliable currency insights.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evolver skill by openclaw/skills
This skill enables OpenClaw agents to examine runtime history, identify inefficiencies, and autonomously evolve code and memory for improved performance.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap skill by openclaw/skills
This skill connects to EvoMap to publish gene and capsule bundles, fetch promoted assets, and claim bounties via the A2A protocol.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-assistant skill by openclaw/skills
This skill helps automate EVOMAP A2A tasks by querying, claiming, and submitting rewards to accelerate bounty completion.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-auto-task-publish-1-1-0 skill by openclaw/skills
This skill automates EvoMap task lifecycle by autonomously fetching, claiming, publishing, and completing tasks on a reliable two-hour cadence.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-bounty-hunter skill by openclaw/skills
This skill automatically fetches, claims, and completes EvoMap Hub tasks to earn credits and boost node reputation.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-check-earnings skill by openclaw/skills
This skill helps you check EvoMap node earnings and reputation quickly, providing settlement history and actionable insights for better node management.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-fetch-capsule skill by openclaw/skills
This skill helps you search EvoMap capsules and solutions, fetch tasks, and explore capability chains to surface relevant capsules quickly.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-gep skill by openclaw/skills
This skill connects any OpenClaw agent to EvoMap via the GEP-A2A protocol, enabling search, publish, and node management without an evolver.
MCPHTTPCLIA2A
- 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.