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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
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
This skill helps you write, review, and optimize Python code with best practices, type hints, and clear documentation.
- Fit
- 77 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill creates clear, user-friendly documentation and API references to help developers understand and use your software effectively.
- Fit
- 77 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill guides you to create compliant pull requests by following templates, checks, and conventional commits.
- Fit
- 77 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
An open-source AI agent that brings the power of Gemini directly into your terminal.
- Fit
- 77 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill writes accurate Gemini CLI documentation in the docs directory, following style guides and project standards for clarity and consistency.
- Fit
- 77 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill triages GitHub issues by routing to oncall teams, applying labels, and posting first-line responses to streamline resolution.
- Fit
- 77 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill helps you implement native Metal kernels for PyTorch operators on Apple Silicon, boosting performance and MPS support.
- Fit
- 77 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
Reference docs for writing Python code against the browser-use library. Read the relevant file based on what the user needs.
- Fit
- 77 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
- Fit
- 77 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
Cloud browser automation for sandboxed agents without local GUI access. Supports navigation, page inspection, interactions, JavaScript execution, and cookie management via 30+ CLI commands Includes cloud session management for running autonomous browser agents in parallel, with task monitoring and structured output options Provides local dev server tunnelin...
- Fit
- 77 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill explains how to develop Playwright by adding APIs, MCP tools, CLI commands, and vendor dependencies for maintainable core.
- Fit
- 77 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Efficient token usage, advanced tools. Any C# method may be turned into a tool by a single line. Works with Claude Code, Gemini, Copilot, Cursor and any other absolutely for free.
- Fit
- 77 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
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.
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.