Deploy a pixel-office dashboard visualizing multiple agents' statuses.
npx skills add https://github.com/JMTassy/helen-conquest --skill star-office-ui
Please help me install this Agent Skill. Skill: star-office-ui Source: https://github.com/JMTassy/helen-conquest/tree/main/helen_os_scaffold/Star-Office-UI Command: npx skills add https://github.com/JMTassy/helen-conquest --skill star-office-ui
Star Office UI provides a one-click deployment workflow for a pixel-office dashboard that visualizes multiple agents' statuses, enabling seamless collaboration across devices and easy sharing of workload insights.
Clone the Star Office UI repo, install dependencies, prepare the state.json, start the backend with python3 backend/app.py, and open http://127.0.0.1:19000 to view the pixel-office dashboard.
High-intent search queries and answers about installing and using this skill.
To deploy a pixel-office dashboard, clone the Star Office UI repository, install dependencies, prepare the state.json file, and start the backend using python3 backend/app.py. You can then view the dashboard at http://127.0.0.1:19000 to monitor agent statuses.
Yes, multiple agents can join the pixel-office dashboard using reusable join keys. This enables real-time status visualization and seamless collaboration across various devices connected to the deployed UI.
Public access for the multi-agent dashboard is optional and can be enabled via tunneling or OpenClaw integration scenarios. This allows you to share workload insights and agent statuses through public access channels.
Yes, the pixel-office UI supports optional AI-driven room customization via Gemini integration. This feature allows you to dynamically configure the visual workspace environment while monitoring your agents.
Activating the Star Office UI requires a YAML frontmatter containing the name and description fields in the SKILL.md file. You can also optionally include assets, scripts, or references directories to load runtime resources during activation.
The Star Office UI requires a local Python backend environment to run and depends on a prepared state.json file. While it supports public access via tunneling, the core deployment is initially designed for local access at http://127.0.0.1:19000.
wormholecowboyScaffold MCP servers in TypeScript or Python with stdio or HTTP transports.
zangjeicyExpose local network services via SSH-based reverse tunneling.
adarshmishra07Coordinate AI agent workflows with a real-time Kanban dashboard.
aRustyDevCreate and manage production Grafana dashboards for real-time metric visualization.
