Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Bridge to external vertical agents (Google ADK, VeADK, etc.) for specialized tasks.
Bridge to external vertical agents (Google ADK, VeADK, etc.) for specialized tasks.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
This skill enables OpenClaw to delegate tasks to external, specialized AI agents via a standard HTTP interface. Use this when the user's request requires domain-specific knowledge (e.g., enterprise data, financial analysis, legal review) that is handled by a separate agent system.
Ensure the following environment variables are set in your OpenClaw environment (e.g., via .env or openclaw config): REMOTE_AGENT_URL: The HTTP endpoint of the external agent (e.g., https://remote-agent.example.com/run or your Google ADK endpoint). REMOTE_AGENT_KEY: (Optional) The Bearer token for authentication.
When the user asks a question that falls into the domain of a specialized remote agent, use this skill to forward the request.
python3 skills/remote-agent/scripts/client.py --query "<USER_QUERY>" [--agent "<AGENT_ID>"]
Scenario 1: Financial Analysis (VeADK) User: "Analyze the Q3 earnings report for TechCorp." Thought: The user is asking for financial analysis. I should delegate this to the 'financial-expert' agent. Action: python3 skills/remote-agent/scripts/client.py --agent "financial-expert" --query "Analyze the Q3 earnings report for TechCorp" Scenario 2: Enterprise Knowledge (Google ADK) User: "What is the company policy on remote work?" Thought: This requires internal knowledge. I'll ask the 'hr-bot'. Action: python3 skills/remote-agent/scripts/client.py --agent "hr-bot" --query "company policy on remote work" Scenario 3: Custom LangChain Backend User: "Run the data processing pipeline." Action: python3 skills/remote-agent/scripts/client.py --query "Run the data processing pipeline"
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.