holyclaude-ai-workstation

What This Skill Does

The holyclaude-ai-workstation skill provides a turnkey, containerized development environment specifically engineered for AI-assisted software engineering. By deploying this skill, you instantiate a full-featured workstation inside a Docker container that pre-configures Claude Code, the Claude CLI, and a suite of four additional AI coding assistants (Gemini, OpenAI Codex, Cursor, and TaskMaster AI). Beyond the AI interfaces, it includes a headless Chromium browser powered by Playwright for automated testing, and over 50 essential development utilities. This workstation is designed to eliminate "environment rot" and the hours typically spent configuring dependencies, IDE plugins, and AI toolchains. It acts as an "AI-in-a-box," allowing developers to move from a fresh host system to a high-performance, fully provisioned coding environment in under five minutes.

Installation

To install this skill via OpenClaw, run the following command in your terminal: clawhub install openclaw/skills/skills/adisinghstudent/holyclaude-ai-workstation. Once installed, ensure you have Docker and Docker Compose active on your host system. Navigate to your intended workspace directory, create a docker-compose.yaml file using the configuration template provided in the skill documentation, and execute docker compose up -d. Your workstation will be accessible via your browser at http://localhost:3001.

Use Cases

• Rapid Prototyping: Spin up an isolated environment to test new AI coding agents without polluting your local system files.
• CI/CD Integration: Utilize the pre-configured headless browser and AI tools to perform automated code reviews or documentation updates.
• Consistent Development Environments: Ensure every team member works with the exact same version of the tools, browser engines, and AI CLI configurations.
• Troubleshooting: Quickly isolate bugs by running code in a controlled containerized Linux environment that mirrors production-like conditions.

Example Prompts

1. "OpenClaw, pull the latest HolyClaude image and configure my volume mounts to point to the ~/Projects/Frontend directory."
2. "Help me update the docker-compose.yaml for my HolyClaude container to include my Anthropic and OpenAI API keys securely."
3. "OpenClaw, launch a shell inside the holyclaude container and verify that the Playwright headless browser is correctly initialized."

Tips & Limitations

• Security: The container requires seccomp:unconfined to enable the Chromium sandbox. Ensure you trust the image source.
• Performance: Allocate at least 2GB of shared memory (shm_size) to avoid crashes during headless browser execution.
• Storage: Always map your project directories to a local volume to ensure persistence of your code after container restarts.
• Resource Usage: Running multiple AI agents concurrently inside one container can be CPU and RAM intensive; monitor host resources if running large tasks.