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Roles / Technical Category
Review matching candidates
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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
11page
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
mcpservers / tool
Browser Use MCP Server
An MCP server that allows AI agents to control a web browser using the browser-use library. Browse Browser Use MCP Server for Claude, Cursor, VS Code, and...
MCPHTTPCLISDK
- Fit
- 75 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser skill by vercel-labs/agent-browser
This skill automates web navigation, form filling, and data extraction using browser interactions to boost testing and data gathering efficiency.
MCPHTTPCLISDK
- Fit
- 75 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
github / workflow
PV-Bhat/vibe-check-mcp-server
Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows. KISS your over-eager AI Agents goodbye! Effective for: Coding, Ambiguous Tasks, High-Risk tasks
MCPHTTPCLISDK
- Fit
- 75 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
github / workflow
heymrun/heym
Self-hosted AI workflow automation platform with visual canvas, agents, RAG, HITL, MCP, and observability in one runtime.
MCPSDKHTTPCLI
- Fit
- 75 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
figma-implement-design skill by openai/skills
This skill translates Figma designs into production-ready code with pixel-perfect fidelity using MCP workflows and design-system mapping.
MCPHTTPCLI
- Fit
- 74 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
mcpservers / skill
Agent Development
Comprehensive guide for building autonomous agents in Claude Code plugins with structured frontmatter, system prompts, and triggering conditions. Agents are autonomous subprocesses defined in markdown files with YAML frontmatter; use them for multi-step independent tasks, commands for user-initiated actions Required frontmatter fields: name (3–50 lowercase-...
MCPHTTPCLI
- Fit
- 74 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
playbooks / skill
command-development skill by anthropics/claude-code
This skill helps you design and implement slash commands in Claude Code, including frontmatter, dynamic arguments, and bash execution for faster automation.
MCPHTTPCLI
- Fit
- 74 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
mcpservers / skill
hook-development
Event-driven automation for Claude Code plugins using prompt-based and command hooks. Supports 9 hook events (PreToolUse, PostToolUse, Stop, SubagentStop, UserPromptSubmit, SessionStart, SessionEnd, PreCompact, Notification) for validation, policy enforcement, and workflow automation Prompt-based hooks use LLM reasoning for context-aware decisions; command...
MCPHTTPCLI
- Fit
- 74 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
playbooks / skill
playwright-cli skill by microsoft/playwright-cli
This skill automates browser actions with playwright-cli to navigate pages, fill forms, capture screenshots, and extract data.
MCPHTTPCLI
- Fit
- 74 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
playbooks / skill
figma skill by openai/skills
This skill uses the Figma MCP server to fetch design context, screenshots, assets, and translate nodes into production code.
MCPCLIHTTP
- Fit
- 74 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
playbooks / skill
security-best-practices skill by openai/skills
This skill analyzes Python and framework contexts to apply security best-practices and suggest secure-by-default improvements.
MCPCLIHTTP
- Fit
- 74 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
playbooks / skill
screenshot skill by openai/skills
This skill captures desktop or app screenshots per user request or when needed for inspection, saving to specified or default locations.
MCPCLIHTTP
- Fit
- 74 / 100
- Trust
- High traction
- 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.