Claude Container provides an isolated Docker environment for Claude Code, enabling secure execution with persistent credentials and workspace access. Operations teams can deploy Claude Code in a controlled setting, ensuring compatibility and security while maintaining access to necessary resources.
git clone https://github.com/nezhar/claude-container.gitClaude Container provides an isolated Docker environment for Claude Code, enabling secure execution with persistent credentials and workspace access. Operations teams can deploy Claude Code in a controlled setting, ensuring compatibility and security while maintaining access to necessary resources.
[{"step":"Define your project requirements. List the tools (e.g., AWS CLI, Node.js, Python), network resources (e.g., internal APIs, databases), and credentials (e.g., AWS, GitHub) needed for your workflow.","tip":"Use the official `claudeai/claude-container` image from Docker Hub for compatibility. Check the image tags for specific versions if required."},{"step":"Run the container with the appropriate Docker command. Customize the `-v` flags to mount your local workspace and credential files, and use `--env` to pass required environment variables.","tip":"For sensitive credentials, use read-only (`:ro`) mounts to prevent accidental modifications inside the container."},{"step":"Verify the setup by running test commands inside the container. Check connectivity to network resources and validate credential access.","tip":"Use `docker exec` to run commands in the container without restarting it. For example: `docker exec claude-container-name aws sts get-caller-identity`."},{"step":"Interact with the project using Claude Code. Use the `/workspace` path to reference files in your mounted volume.","tip":"If you need to install additional tools, run `apt-get update && apt-get install -y [TOOL]` inside the container. Persist these changes by committing the container or using a custom Dockerfile."},{"step":"Persist the container state. Use `docker commit` to save changes or mount a Docker volume for long-term storage of credentials and workspace state.","tip":"For team collaboration, share the Docker command and setup instructions in your project's README. Ensure sensitive credentials are managed via secrets management tools (e.g., AWS Secrets Manager)."}]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/nezhar/claude-containerCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Set up a [PROJECT_NAME] project in a Claude Container Docker environment. Configure the container with [REQUIRED_TOOLS] and mount the workspace at [LOCAL_PATH]. Ensure the container has access to [NETWORK_RESOURCES] and persistent credentials for [SERVICE_NAME]. Provide the Docker command to run the container and verify the setup by executing [TEST_COMMAND].
### Claude Container Setup for 'Acme Analytics' Project **Docker Command Executed:** ```bash docker run -it --name claude-acme-analytics \ -v /Users/dev/acme-analytics:/workspace \ -v ~/.aws:/root/.aws:ro \ -v ~/.npmrc:/root/.npmrc:ro \ --network host \ --env AWS_REGION=us-west-2 \ --env NODE_ENV=development \ claudeai/claude-container:latest ``` **Verification Steps Completed:** 1. Container initialized successfully with mounted volumes for code, AWS credentials, and npm config. 2. Network access confirmed via `ping api.acme-analytics.com` (latency: 24ms). 3. AWS credentials validated with `aws sts get-caller-identity` (Account: 123456789012, User: analytics-dev). 4. Test command `npm install && npm run test:unit` executed successfully (12 tests passed, 0 failed). **Workspace Structure:** ``` acme-analytics/ ├── src/ │ ├── models/ # Database schemas │ ├── services/ # Business logic │ └── utils/ # Helper functions ├── tests/ # Unit/integration tests ├── .env.local # Environment variables └── package.json # Project dependencies ``` **Next Steps:** - Use `claude /workspace` to interact with the project files. - Run `docker exec -it claude-acme-analytics bash` for shell access if needed. - The container will persist credentials and workspace state between sessions.
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