Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Other
A2a Protocol
Agent2Agent (A2A) Protocol implementation - communicate with other AI agents
skill openclawclawhub Free
Agent2Agent (A2A) Protocol implementation - communicate with other AI agents
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- a2a_client.py, SKILL.md
Validation
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- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
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New install
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- nantes
- Source page
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Documentation
A2A Protocol Skill
Implementation of the Agent2Agent (A2A) Protocol for inter-agent communication.
What it does
Agent Discovery via Agent Cards Send Messages to remote agents Task Management (submit, check status, get results) Streaming via Server-Sent Events (SSE) Authentication support (API keys, Bearer tokens)
Installation
# Install Python dependencies pip install requests sseclient-py
Register Your Agent
.\a2a.ps1 -Action register -Name "MyAgent" -Description "Research agent" -Capabilities "research,analysis" -Endpoint "https://my-agent.com/a2a"
Get Agent Card
.\a2a.ps1 -Action card -AgentId "uuid-of-agent"
Send Message
.\a2a.ps1 -Action send -ToAgent "target-agent-uuid" -Content "Hello agent!"
Submit Task
.\a2a.ps1 -Action task -ToAgent "target-agent-uuid" -Task "Research quantum computing"
Check Task Status
.\a2a.ps1 -Action status -TaskId "task-uuid"
List Remote Agents
.\a2a.ps1 -Action list -RegistryUrl "https://registry.agentlink.io"
A2A Concepts
Agent Card: JSON describing agent capabilities (name, endpoint, methods) Client Agent: Agent that sends tasks Remote Agent: Agent that receives and processes tasks Task: Work request with ID, status, and result Message: Direct communication between agents
API Reference
POST /a2a/agents/register - Register agent GET /a2a/agents/{id} - Get agent info GET /a2a/agents/{id}/card - Get Agent Card POST /a2a/messages - Send message POST /a2a/tasks - Submit task GET /a2a/tasks/{id} - Get task status GET /a2a/tasks/{id}/result - Get task result
Python Usage
from a2a import A2AClient client = A2AClient("https://remote-agent.com/a2a", api_key="your-key") # Send message client.send_message("target-agent-id", "Hello!") # Submit task task_id = client.submit_task("target-agent-id", "Do X") result = client.get_result(task_id)
Requirements
Python 3.8+ requests library sseclient-py (for streaming)
License
MIT
Category context
Long-tail utilities that do not fit the current primary taxonomy cleanly.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- a2a_client.py