design-a2a-agent-card
Über
Diese Claude-Fähigkeit erstellt ein A2A-Agent-Card-Manifest (`.well-known/agent.json`), das die Fähigkeiten, Skills und Authentifizierung eines Agenten für Interoperabilität definiert. Verwenden Sie sie beim Erstellen oder Migrieren von Agenten zum A2A-Protokoll, um die Auffindbarkeit durch andere konforme Agenten und Registrierungssysteme sicherzustellen. Sie hilft, den öffentlichen Vertrag des Agenten zu etablieren und unterstützt Multi-Agenten-Orchestrierung und Integration.
Schnellinstallation
Claude Code
Empfohlennpx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/design-a2a-agent-cardKopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren
Dokumentation
Design A2A Agent Card
Create a standards-compliant A2A Agent Card that advertises an agent's identity, skills, authentication requirements, and capabilities for discovery by other agents.
适用场景
- Building an agent that must be discoverable by other A2A-compliant agents
- Exposing agent capabilities for multi-agent orchestration
- Migrating an existing agent to the A2A (Agent-to-Agent) protocol
- Defining the public contract for an agent before implementation
- Integrating with agent registries or directories that consume Agent Cards
输入
- 必需: Agent name and description
- 必需: List of skills the agent can perform (name, description, input/output schemas)
- 必需: Base URL where the agent will be hosted
- 可选: Authentication method (
none,oauth2,oidc,api-key) - 可选: Supported content types beyond
text/plain(e.g.,image/png,application/json) - 可选: Capability flags (streaming, push notifications, state transition history)
- 可选: Provider organization name and URL
步骤
第 1 步:Define Agent Identity and Description
1.1. Choose the agent identity fields:
{
"name": "data-analysis-agent",
"description": "Performs statistical analysis, data visualization, and report generation on tabular datasets.",
"url": "https://agent.example.com",
"provider": {
"organization": "Example Corp",
"url": "https://example.com"
},
"version": "1.0.0"
}
1.2. Write a clear, actionable description that answers:
- What domains does this agent cover?
- What kinds of tasks can it handle?
- What are its limitations?
1.3. Set the canonical URL where the Agent Card will be served at /.well-known/agent.json.
预期结果: A complete identity block with name, description, URL, provider, and version.
失败处理: If the agent serves multiple domains, consider whether it should be one agent with many skills or multiple agents with focused scopes. A2A favors focused agents with clear boundaries.
第 2 步:Enumerate Skills with Input/Output Schemas
2.1. Define each skill the agent can perform:
{
"skills": [
{
"id": "analyze-dataset",
"name": "Analyze Dataset",
"description": "Run descriptive statistics, correlation analysis, or hypothesis tests on a CSV dataset.",
"tags": ["statistics", "data-analysis", "csv"],
"examples": [
"Analyze the correlation between columns A and B in my dataset",
"Run a t-test comparing group 1 and group 2"
],
"inputModes": ["text/plain", "application/json"],
"outputModes": ["text/plain", "application/json", "image/png"]
},
{
"id": "generate-chart",
"name": "Generate Chart",
"description": "Create bar, line, scatter, or histogram charts from tabular data.",
"tags": ["visualization", "charts"],
"examples": [
"Create a scatter plot of height vs weight",
"Generate a histogram of the age column"
],
"inputModes": ["text/plain", "application/json"],
"outputModes": ["image/png", "image/svg+xml"]
}
]
}
2.2. For each skill, provide:
- id: Unique identifier (kebab-case)
- name: Human-readable display name
- description: What the skill does, in one to two sentences
- tags: Searchable keywords for discovery
- examples: Natural language task examples that trigger this skill
- inputModes: MIME types the skill accepts
- outputModes: MIME types the skill can produce
2.3. Ensure skill boundaries are clear and non-overlapping. Each task should map to exactly one skill.
预期结果: A skills array where each entry has id, name, description, tags, examples, and I/O modes.
失败处理: If skills overlap significantly, merge them into a single broader skill with more examples. If a skill is too broad, split it into focused sub-skills.
第 3 步:Configure Authentication
3.1. Define the authentication scheme based on deployment context:
No authentication (local/trusted network):
{
"authentication": {
"schemes": []
}
}
OAuth 2.0 (recommended for production):
{
"authentication": {
"schemes": ["oauth2"],
"credentials": {
"oauth2": {
"authorizationUrl": "https://auth.example.com/authorize",
"tokenUrl": "https://auth.example.com/token",
"scopes": {
"agent:invoke": "Invoke agent skills",
"agent:read": "Read task status"
}
}
}
}
}
API Key (simple shared-secret):
{
"authentication": {
"schemes": ["apiKey"],
"credentials": {
"apiKey": {
"headerName": "X-API-Key"
}
}
}
}
3.2. Choose the minimum viable authentication for the deployment environment:
- Local development:
none - Internal services:
apiKey - Public-facing agents:
oauth2oroidc
3.3. Document the token/key provisioning process in the Agent Card's provider section or external documentation.
预期结果: An authentication block matching the deployment security requirements.
失败处理: If OAuth 2.0 infrastructure is not available, start with API key authentication and plan migration. Never deploy a public agent with none authentication.
第 4 步:Specify Capabilities
4.1. Declare what protocol features the agent supports:
{
"capabilities": {
"streaming": true,
"pushNotifications": false,
"stateTransitionHistory": true
}
}
4.2. Set each capability flag based on implementation readiness:
- streaming:
trueif the agent supports SSE streaming viatasks/sendSubscribe. Enables real-time progress updates for long-running tasks. - pushNotifications:
trueif the agent can send webhook callbacks when task state changes. Requires the agent to store and call back webhook URLs. - stateTransitionHistory:
trueif the agent maintains a full history of task state transitions (submitted, working, completed, etc.). Useful for audit trails.
4.3. Only set capabilities to true if the implementation fully supports them. Advertising unsupported capabilities breaks interoperability.
预期结果: A capabilities object with boolean flags matching actual implementation.
失败处理: If unsure whether a capability will be implemented, set it to false. Capabilities can be added in future versions. Removing a capability is a breaking change.
第 5 步:Validate and Publish Agent Card
5.1. Assemble the complete Agent Card:
{
"name": "data-analysis-agent",
"description": "Performs statistical analysis and visualization on tabular datasets.",
"url": "https://agent.example.com",
"version": "1.0.0",
"provider": {
"organization": "Example Corp",
"url": "https://example.com"
},
"authentication": {
"schemes": ["oauth2"],
"credentials": { ... }
},
"capabilities": {
"streaming": true,
"pushNotifications": false,
"stateTransitionHistory": true
},
"skills": [ ... ],
"defaultInputModes": ["text/plain"],
"defaultOutputModes": ["text/plain"]
}
5.2. Validate the Agent Card:
- Parse as JSON and verify no syntax errors
- Verify all required fields are present (name, description, url, skills)
- Verify each skill has id, name, description, and at least one input/output mode
- Verify the URL is reachable and serves the card at
/.well-known/agent.json
5.3. Publish the Agent Card:
- Serve at
https://<agent-url>/.well-known/agent.json - Set
Content-Type: application/json - Enable CORS headers if cross-origin discovery is needed
- Register with any relevant agent directories or registries
5.4. Test discovery by fetching the card:
curl -s https://agent.example.com/.well-known/agent.json | python3 -m json.tool
预期结果: A valid JSON Agent Card served at the well-known URL, parseable by any A2A client.
失败处理: If JSON validation fails, use a JSON linter to identify syntax errors. If the URL is not reachable, check DNS, SSL certificates, and web server configuration. If CORS is needed, add Access-Control-Allow-Origin headers.
验证清单
- Agent Card is valid JSON with no syntax errors
- All required fields are present: name, description, url, skills
- Each skill has id, name, description, inputModes, and outputModes
- Authentication scheme matches deployment security requirements
- Capability flags accurately reflect implementation status
- Agent Card is served at
/.well-known/agent.jsonwith correct Content-Type - A2A clients can fetch and parse the card successfully
- Examples in skills are realistic and trigger the correct skill
常见问题
- Overpromising capabilities: Setting
streaming: trueorpushNotifications: truewithout implementation causes client failures when those features are used. Be conservative. - Vague skill descriptions: Descriptions like "does data stuff" prevent accurate skill matching. Be specific about inputs, outputs, and domains.
- Missing CORS headers: Browser-based A2A clients cannot fetch the Agent Card without proper CORS configuration.
- Skill overlap: If two skills could handle the same task, client agents cannot determine which to invoke. Ensure clear boundaries.
- Forgetting default modes: If
defaultInputModesanddefaultOutputModesare omitted, clients may not know what content types to send. - Version stagnation: Update the Agent Card version when skills or capabilities change. Clients may cache old versions.
- Publishing before implementation: The Agent Card is a contract. Publishing skills that are not yet implemented leads to runtime failures.
相关技能
implement-a2a-server- implement the server behind the Agent Cardtest-a2a-interop- validate Agent Card conformance and interoperabilitybuild-custom-mcp-server- MCP server as alternative/complement to A2Aconfigure-mcp-server- MCP configuration patterns applicable to A2A setup
GitHub Repository
Verwandte Skills
content-collections
MetaDiese Skill bietet eine produktionsgetestete Einrichtung für Content Collections – ein TypeScript-first-Tool, das Markdown/MDX-Dateien in typsichere Datensammlungen mit Zod-Validierung umwandelt. Verwenden Sie ihn beim Erstellen von Blogs, Dokumentationsseiten oder inhaltsstarken Vite + React-Anwendungen, um Typsicherheit und automatische Inhaltsvalidierung zu gewährleisten. Er behandelt alles von der Vite-Plugin-Konfiguration und MDX-Kompilierung bis hin zur Deployment-Optimierung und Schema-Validierung.
polymarket
MetaDiese Fähigkeit ermöglicht es Entwicklern, Anwendungen mit der Polymarket-Prognosemärkte-Plattform zu erstellen, einschließlich API-Integration für Handel und Marktdaten. Sie bietet außerdem Echtzeit-Datenstreaming über WebSocket, um Live-Trades und Marktaktivitäten zu überwachen. Nutzen Sie sie zur Implementierung von Handelsstrategien oder zur Erstellung von Tools, die Live-Marktaktualisierungen verarbeiten.
creating-opencode-plugins
MetaDiese Fähigkeit unterstützt Entwickler dabei, OpenCode-Plugins zu erstellen, die in über 25 Ereignistypen wie Befehle, Dateien und LSP-Operationen eingreifen. Sie bietet die Plugin-Struktur, Event-API-Spezifikationen und Implementierungsmuster für JavaScript/TypeScript-Module. Nutzen Sie sie, wenn Sie den Lebenszyklus des OpenCode KI-Assistenten mit benutzerdefinierter ereignisgesteuerter Logik abfangen, überwachen oder erweitern müssen.
sglang
MetaSGLang ist ein hochperformantes LLM-Serving-Framework, das sich auf schnelle, strukturierte Generierung für JSON, Regex und agentenbasierte Workflows unter Verwendung seines RadixAttention-Prefix-Cachings spezialisiert. Es bietet deutlich schnellere Inferenz, insbesondere für Aufgaben mit wiederholten Präfixen, was es ideal für komplexe, strukturierte Ausgaben und Mehrfachdialoge macht. Wählen Sie SGLang gegenüber Alternativen wie vLLM, wenn Sie constrained decoding benötigen oder Anwendungen mit umfangreicher Präfix-Weitergabe entwickeln.
