Automate end-to-end deployment workflows from testing to production with GitHub Actions, Supabase, and Cloud Run.
npx skills add https://github.com/fweiner/life-words --skill deploy-fweiner
Please help me install this Agent Skill. Skill: deploy Source: https://github.com/fweiner/life-words/tree/main/.claude/skills/deploy Command: npx skills add https://github.com/fweiner/life-words --skill deploy-fweiner
Deployment and release workflows are error-prone and time-consuming, requiring manual coordination across tests, migrations, and cloud deployments.
Run the automated deployment workflow to validate, package, and deploy your application from tests to production in one repeatable process.
High-intent search queries and answers about installing and using this skill.
Automating end-to-end production deployments involves orchestrating tests, version tagging, migrations, and cloud releases within a single repeatable CI/CD pipeline. This Skill coordinates those deterministic steps from testing to production monitoring using GitHub Actions and Cloud Run.
Coordinating Supabase migrations during a Cloud Run deployment requires sequencing migration scripts alongside version tagging and service releases. This Skill manages that workflow by providing visibility into pending migrations and ensuring they execute deterministically before the final release.
Yes, using GitHub Actions to run tests, push migrations, and tag versions in one workflow is exactly what this deployment automation handles. It validates your application, coordinates Supabase migrations, and tags versions before releasing binaries to Cloud Run.
Yes, the deployment automation includes rollback planning and migration coordination. It provides visibility into pending Supabase migrations and deployment status, ensuring you can monitor outcomes and manage rollback scenarios within the release workflow.
Ensuring deterministic deployment steps requires a repeatable process that coordinates testing, migration, versioning, and release automation. This Skill enforces that structure by orchestrating backend and frontend deployments through a standardized CI/CD pipeline to Cloud Run.
Manual deployment workflows fail due to error-prone coordination across tests, migrations, and cloud deployments. Automating the end-to-end process eliminates manual errors by enforcing deterministic steps, version tagging, and deployment verification within a single pipeline.
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