A specialized AI engineering skill for designing, implementing, and optimizing high-throughput, real-time bidirectional communication systems.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ah-websocket-engineer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ah-websocket-engineer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The websocket-engineer is a technical powerhouse within the Openclaw Skills ecosystem, designed specifically for developers building interactive, event-driven applications. This skill enables AI agents to act as senior real-time communication specialists, capable of architecting systems that handle millions of concurrent connections while maintaining sub-10ms latency.
By leveraging this skill, teams can automate the complex lifecycle of WebSocket development, from initial protocol selection and load balancer configuration to implementing robust failover mechanisms and Redis-backed horizontal scaling. It ensures that every real-time feature is built with production-grade stability and industry-standard security protocols.
To deploy the websocket-engineer within your Openclaw Skills environment, ensure your workspace is initialized and run the following commands:
# Install the websocket-engineer skill
openclaw install websocket-engineer
# Configure the real-time environment variables
export WEBSOCKET_PROTOCOL=wss
export MESSAGE_BROKER_URL=redis://localhost:6379
# Initialize a new real-time architecture project
openclaw run websocket-engineer --init
The skill organizes real-time system data according to the following taxonomy:
| Component | Data Type | Description |
|---|---|---|
| Connection Metadata | JSON | Stores client ID, session state, and JWT claims. |
| Event Schema | TypeScript/JSON | Defines the structure of bidirectional messages and payloads. |
| Metrics Taxonomy | Prometheus/Grafana | Tracks connection counts, message throughput, and error rates. |
| Topology Map | Markdown/YAML | Visualizes the server clustering and message routing path. |
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