ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified developer tools Safety 3/5

remote-agent

Bridge to external vertical agents (Google ADK, VeADK, etc.) for specialized tasks.

Why use this skill?

Bridge OpenClaw to specialized external agents like Google ADK or VeADK. Seamlessly delegate domain-specific tasks and workflows via HTTP.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/sqsge/clawhub-skill-remote-agent
Or

What This Skill Does

The remote-agent skill serves as a sophisticated architectural bridge between the primary OpenClaw AI environment and external, specialized vertical agents. By leveraging a standard HTTP-based communication protocol, this skill allows OpenClaw to offload domain-specific queries that fall outside its core general-purpose model capabilities. Whether you are interfacing with established systems like Google ADK or custom-built VeADK pipelines, the remote-agent skill ensures seamless integration. It handles the request routing, headers, and authentication tokens required to interact with private or public enterprise endpoints, effectively turning OpenClaw into a central orchestration hub that can dispatch tasks to a wide ecosystem of specialized bots.

Installation

To integrate this functionality into your workflow, ensure your environment is pre-configured with the necessary network access permissions. Install the skill via the ClawHub CLI using the following command:

clawhub install openclaw/skills/skills/sqsge/clawhub-skill-remote-agent

Once installed, you must configure the following environment variables to ensure secure communication with your target agents:

  • REMOTE_AGENT_URL: The destination URL where the external agent's API listens for incoming POST requests.
  • REMOTE_AGENT_KEY: A secure Bearer token used to authenticate your requests against the external server. Keep this key safe and do not expose it in version control.

Use Cases

This skill is designed for complex enterprise and technical environments where data is siloed. Common use cases include:

  • Financial Reporting: Offloading deep analysis of Q3/Q4 earnings reports to a specialized VeADK financial engine.
  • HR and Policy Queries: Querying proprietary, sensitive enterprise databases that have an existing AI wrapper.
  • Pipeline Orchestration: Triggering external data processing backends, such as custom LangChain workflows or Python-based ETL jobs, without needing to host the code locally within the OpenClaw agent.

Example Prompts

  1. "Look up the internal Q3 documentation for the marketing division and summarize the primary KPI risks."
  2. "I need a deep analysis of the latest technical documentation regarding our cloud infrastructure configuration."
  3. "Please execute the data cleaning pipeline on the latest batch of telemetry logs from the staging environment."

Tips & Limitations

  • Authentication: Always prioritize using the REMOTE_AGENT_KEY for production environments to ensure your endpoint is not publicly accessible.
  • Latency: Because this skill relies on external network round-trips, be mindful that response times are dependent on the availability and processing speed of the destination agent.
  • Error Handling: If an agent is unreachable, the skill will return a standard HTTP error; ensure your agent setup includes descriptive error logging on the receiving end to facilitate debugging.

Metadata

Author@sqsge
Stars982
Views1
Updated2026-02-14
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-sqsge-clawhub-skill-remote-agent": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#agent-bridge#integration#automation#api-connector
Safety Score: 3/5

Flags: network-access, external-api