A2A Protocol
Implements the Agent2Agent (A2A) open protocol for communication between AI agents built on different frameworks. A2A enables agents to discover each other via Agent Cards, negotiate interaction modalities, manage collaborative tasks, and exchange data — all without exposing internal state, memory, or tools. Supports J
概览
The A2A Protocol skill, available in the TerminalSkills/skills repository, provides a standardized implementation of the Agent2Agent open protocol. This tool facilitates seamless communication between AI agents developed on diverse frameworks, such as Claude, Gemini, and Codex. It utilizes Agent Cards for mutual discovery and allows agents to negotiate interaction modalities and manage collaborative tasks without compromising internal system integrity. By enabling data exchange while strictly shielding an agent's private memory, internal state, and specific toolsets, the protocol ensures a controlled collaborative environment. This implementation is particularly relevant for research-oriented workflows where multi-agent interoperability is required across disparate technical ecosystems, leveraging the foundational work hosted in the TerminalSkills collection.
使用场景
安装说明
# Review source first
open https://github.com/TerminalSkills/skills/blob/main/skills/a2a-protocol/SKILL.mdCopy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.
安全提示
The A2A Protocol implementation prioritizes privacy by design, ensuring that agents can collaborate and exchange data without exposing their internal states, private memories, or specific tool configurations. This boundary-based communication model prevents unauthorized access to an agent's underlying logic while maintaining interoperability across different development frameworks.
相关 Skills
MCP Builder
anthropics/skills
创建高质量 MCP (Model Context Protocol) 服务器的指南,使 LLM 能够通过设计良好的工具与外部服务进行交互。在构建 MCP 服务器以集成外部 API 或服务时使用,无论是使用 Python (FastMCP) 还是 Node/TypeScript (MCP SDK)。
Doc Coauthoring
anthropics/skills
引导用户完成文档共同创作的结构化工作流。当用户想要编写文档、提案、技术规范、决策文档或类似的结构化内容时使用。此工作流可帮助用户高效地传递上下文,通过迭代完善内容,并验证文档对读者的有效性。当用户提到编写文档、创建提案、起草规范或类似的文档任务时触发。
Skill Creator
anthropics/skills
创建新技能、修改和改进现有技能,并衡量技能性能。适用于用户希望从零开始创建技能、编辑或优化现有技能、运行评估以测试技能、通过方差分析对技能性能进行基准测试,或优化技能描述以提高触发准确性的场景。
CI Cd And Automation
addyosmani/agent-skills
自动化 CI/CD 流水线设置。适用于设置或修改构建和部署流水线。当需要自动化质量门禁、在 CI 中配置测试运行器或建立部署策略时使用。
Browser Testing With Devtools
addyosmani/agent-skills
通过 Chrome DevTools MCP 在真实浏览器中进行测试。在构建或调试任何在浏览器中运行的内容时使用。当你需要检查 DOM、捕获控制台错误、分析网络请求、分析性能或使用真实运行时数据验证视觉输出时使用。需要配置 chrome-devtools MCP 服务器。
Protected Vercel Deployments
vercel-labs/agent-browser
使用 agent-browser 访问并测试受 Vercel Authentication、SSO 或 Deployment Protection 保护的 Vercel 部署。当预览或生产环境的 URL 重定向到 Vercel 登录页面、返回 401 或 403 保护错误,或者需要短期 Trusted Sources OIDC 身份验证(而非静态绕过密钥或公开例外)时,请使用此功能。