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Roles / Technical Category
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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
210page
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
agent-browser skill by codervisor/lean-spec
This skill automates browser tasks by navigating, interacting, and extracting data to streamline web workflows for AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser skill by dmmulroy/.dotfiles
This skill enables AI agents to automate web tasks using a Playwright-based browser, facilitating browsing, form filling, scraping, and interactions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser skill by partme-ai/full-stack-skills
This skill automates browser tasks via the agent-browser CLI, enabling AI agents to interact with web pages reliably using refs, semantic locators, and
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser skill by sebastiaanwouters/dotagents
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use only when explicitly invoked with "use browser agent" or "use agent browser".
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser-0.2.0 skill by z980944038-dev/openclawwdl
This skill enables AI agents to automate browser tasks efficiently by navigating, interacting, and extracting data with a fast headless runtime.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser-4 skill by openclaw/skills
This skill automates browser tasks and data extraction, enabling agents to open pages, fill forms, click elements, and capture results efficiently.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser-6aigix9qi2tu skill by openclaw/skills
This skill enables AI agents to automate browser tasks using a fast headless browser, supporting navigation, interaction, and snapshotting through structured
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser-ymepfebfpc2x skill by openclaw/skills
This skill enables AI agents to automate browser tasks with a fast headless Rust browser, providing reliable navigation, interaction, and snapshotting.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser-zd1dook9mtfz skill by openclaw/skills
This skill enables AI agents to automate browser tasks with a fast headless Rust-powered CLI, delivering reliable navigation, interaction, and page capture.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-budget-governance skill by openclaw/skills
This skill enforces trust-based budget governance across multiple AI agents, logging usage, issuing thresholds, and revoking mesh privileges when limits are
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-card-provisioning skill by openclaw/skills
This skill provisions on-demand virtual payment cards for AI agents with policy-driven controls and instant issuance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-card-signing-auditor skill by openclaw/skills
This skill audits Agent Card signing in A2A protocols, identifying unsigned cards, weak schemes, revocation gaps, and rotation issues to prevent impersonation.
MCPCLIA2A
- 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.