vizclaw

What This Skill Does

The VizClaw skill serves as a high-performance bridge between OpenClaw-style agent runs and VizClaw live rooms. It is designed to provide real-time observability into agent decision-making, tool execution, and event streaming. By leveraging a websocket-based architecture, VizClaw allows developers to monitor complex agent flows without needing to manually inspect log files or terminal output. It supports structured event ingestion, heartbeat monitoring for long-running processes, and optional privacy modes to ensure sensitive information remains protected during live demonstrations or team collaboration sessions.

Installation

Installation is streamlined for maximum compatibility with existing OpenClaw environments. For most users, the recommended approach is via ClawHub:

npx clawhub@latest install vizclaw

Alternatively, you can utilize the direct execution method using UV if you prefer to run it as a standalone utility connected to your agent process:

uv run https://vizclaw.com/skills/vizclaw/scripts/connect.py

Use Cases

1. Live Agent Debugging: Watch your agent's thought process and tool calls in real-time as they happen, making it easier to identify logic loops or failed API calls instantly.
2. Safe Overview Monitoring: Use overview mode to project agent activity during meetings or presentations without exposing secret keys, user queries, or private file contents.
3. Event Aggregation: Stream telemetry from multiple agent models (like Claude or GPT-4o) into a unified dashboard to compare performance and response times.
4. Task Lifecycle Management: Implement reminders and heartbeats to track long-running autonomous workflows, ensuring your agent hasn't stalled during extended data processing tasks.

Example Prompts

1. "Initialize a new VizClaw room for this session and stream all tool execution data to the project dashboard."
2. "Enable overview mode and hide all sensitive query text while I record this screen session for the team."
3. "Set a heartbeat interval of 60 seconds and sync the current task status to the VizClaw portal."

Tips & Limitations

• Security First: Always use the appropriate mode (detailed vs. overview/hidden) based on the sensitivity of your data. The skill redacts data in overview mode, but local variables may still leak if logs are exposed.
• Network Performance: Since VizClaw relies on websocket bridging, ensure your local network allows outbound websocket connections to the VizClaw infrastructure.
• Compatibility: This skill is optimized for OpenClaw runtimes. While it can ingest generic JSONL, full feature parity (like heartbeat and tool tracking) is best achieved using native OpenClaw event schemas.