Automates GitHub project deployment to Docker with one command. Operations teams benefit from faster, consistent deployments. Connects to GitHub and Docker, integrates with Homepage for service management.
git clone https://github.com/outmanwt/claude-deploy-service.gitThe claude-deploy-service is an innovative Claude Code skill designed to simplify the deployment of GitHub projects directly to Docker with just one click. This automation skill streamlines the deployment process, allowing developers to focus on coding rather than spending time on manual deployment tasks. By integrating seamlessly with existing GitHub repositories, this skill enhances productivity and reduces the friction often associated with project deployments. One of the key benefits of the claude-deploy-service is its ability to save time during the deployment phase. Although specific time savings are currently unknown, the one-click functionality significantly reduces the complexity and duration of the deployment process. Developers can expect to implement this skill in approximately 30 minutes, making it a practical solution for those looking to enhance their workflow automation capabilities. This intermediate-level skill is ideal for developers and product managers who are familiar with Docker and GitHub, allowing them to maintain focus on delivering high-quality software. This skill is particularly beneficial for teams that regularly deploy applications from GitHub to Docker, as it eliminates repetitive manual steps. For example, a development team working on a web application can leverage the claude-deploy-service to automate their deployment process, ensuring that updates are pushed to production quickly and efficiently. Additionally, this skill can be a game-changer for startups and small teams that may lack extensive DevOps resources, enabling them to deploy applications with minimal overhead. The implementation of the claude-deploy-service requires an intermediate understanding of both Docker and GitHub, making it suitable for developers who are already comfortable navigating these platforms. As organizations increasingly adopt AI-first workflows, integrating automation skills like this one can significantly enhance operational efficiency. By incorporating the claude-deploy-service into their processes, teams can ensure that deployment becomes a seamless part of their development cycle, ultimately leading to faster time-to-market and improved project outcomes.
[{"step":1,"action":"Ensure prerequisites are met: GitHub repository is accessible, Docker is installed and logged in to a registry (e.g., Docker Hub), and Homepage is configured for service management.","tip":"Use `docker login` to authenticate with your registry before running the deployment."},{"step":2,"action":"Run the claude-deploy-service command with your project details. Example: `claude-deploy-service --repo https://github.com/acme-corp/web-app --image acme/web-app --tag 2.4.1 --service web-app`","tip":"Add `--dry-run` to simulate the deployment without making changes for testing."},{"step":3,"action":"Verify the deployment status by checking the logs and health endpoints. Use `docker ps` to confirm the container is running.","tip":"For Homepage integrations, ensure the service name matches the configuration in your Homepage setup."},{"step":4,"action":"Monitor the deployment for errors or warnings. Use `docker logs <container_id>` to inspect container logs if issues arise.","tip":"Set up automated alerts in Homepage or your monitoring tool (e.g., Prometheus) to track service health post-deployment."},{"step":5,"action":"Notify stakeholders (e.g., via Slack or email) with the deployment summary, including the new image tag and service status.","tip":"Automate notifications by integrating with tools like `claude-notify-service` for consistent communication."}]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/outmanwt/claude-deploy-serviceCopy the install command above and run it in your terminal.
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Use the prompt template or examples below to test the skill.
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Deploy the GitHub project [GITHUB_REPO_URL] to Docker using the claude-deploy-service. Include the following configuration: [DOCKER_IMAGE_NAME], [DOCKER_TAG], and [HOMEPAGE_SERVICE_NAME]. Ensure the deployment follows these steps: [STEP_1], [STEP_2], [STEP_3].
### Deployment Log: GitHub Project to Docker **Project:** `acme-corp/web-app` **Docker Image:** `acme/web-app:2.4.1` **Homepage Service:** `web-app` #### Steps Executed: 1. **GitHub Clone:** Successfully cloned repository `acme-corp/web-app` (branch: `main`) to `/tmp/deploy/web-app-20241015-143022`. 2. **Docker Build:** Built Docker image `acme/web-app:2.4.1` using the provided `Dockerfile`. Build completed in 2m 15s with no warnings. 3. **Docker Push:** Pushed image to Docker Hub (`acme/web-app:2.4.1`). Verified push integrity with SHA256 hash: `a1b2c3d4e5f6...`. 4. **Homepage Integration:** Updated Homepage service `web-app` to use the new image tag `2.4.1`. Service status: `Running` (restarted at 14:32:45 UTC). #### Post-Deployment Checks: - **Health Endpoint:** `https://web-app.acme-corp.com/health` returned `200 OK` (response time: 120ms). - **Logs:** No critical errors in the last 5 minutes. Last 3 logs: - `2024-10-15T14:33:10Z [INFO] Service started successfully` - `2024-10-15T14:33:05Z [INFO] Docker container running on port 8080` - `2024-10-15T14:32:50Z [INFO] Image pull completed` **Next Steps:** - Monitor service for 10 minutes to ensure stability. - Run automated tests via `claude-test-service` if configured. - Notify the team via Slack channel `#deployments` with the deployment summary.
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