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agent-interoperability-a2a
standardized protocols for agent collaboration. Use this to implement the Agent2Agent (A2A) protocol and Agent Cards to transform isolated agents into a collaborative ecosystem.
DeepseekModel
キュレーション済みスキル
品質 良好 · 48
v1.0.0
取得
https://deepseekmodel.com/api/download.php?id=abhishekmmgn-skills-agents-agent-interoperability-a2a-skill-md&format=skill
ダウンロード .skill
標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name agent-interoperability-a2a description standardized protocols for agent collaboration. Use this to implement the Agent2Agent (A2A) protocol and Agent Cards to transform isolated agents into a collaborative ecosystem. Agent Interoperability (A2A) Goal Transform isolated, specialized agents into an interoperable ecosystem where any agent can leverage another's capabilities to achieve complex, high-level goals. The MCP vs. A2A Distinction Standardization is built on two complementary protocols operating at different levels of abstraction: MCP (Model Context Protocol): Use for simple, stateless functions and primitives like a calculator or database query ("Do this specific thing"). A2A (Agent2Agent Protocol): Use for delegating complex, stateful goals that require reasoning and multi-turn planning ("Achieve this complex goal"). Core Implementation Components 1. The Agent Card (The Business Card) Agents identify themselves using a standardized JSON specification called an Agent Card. It must describe: Capabilities: What the agent can actually do. Security Requirements: Necessary authentication (e.g., OAuth2). Skills: Specific descriptions and tags (e.g., "mathematical", "prime checking"). Endpoint (URL): How other agents can reach it. 2. Distributed Tracing Enabling autonomous collaboration requires distributed tracing where every request carries a unique trace ID. This is non-negotiable for debugging and maintaining a coherent audit trail across multiple, opaque systems. 3. State Management A2A interactions are inherently stateful. You must implement a sophisticated persistence layer to track progress across multi-agent turns and ensure transactional integrity. Interoperability Best Practices Hierarchical Composition: Configure a "Root" agent to orchestrate both lightweight local sub-agents and specialized remote agents via A2A. Standardize Early: Build new agents with native support for both MCP and A2A to ensure every component is immediately discoverable and reusable. Registry Usage: As scale increases, use an Agent Registry to catalog Agent Cards, reducing redundant work and fostering cross-team reuse.
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ダウンロードした .skill に含まれるフィールド。
| フィールド | 説明 |
|---|---|
| format | フォーマット識別子（skill/v1） |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ（配列） |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL（本ページ） |
| exported_at | エクスポート日時（ダウンロード毎） |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定：provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明（Coze / Dify / Claude / カスタム） |
