Deploy applications to dev or prod via GitHub Actions with pre-flight checks.
npx skills add https://github.com/Kosmio/skeleton-test --skill deploy-kosmio
Please help me install this Agent Skill. Skill: deploy Source: https://github.com/Kosmio/skeleton-test/tree/main/.claude/skills/deploy Command: npx skills add https://github.com/Kosmio/skeleton-test --skill deploy-kosmio
Deployments to development and production environments are error-prone when done manually. This skill automates pre-flight checks, triggers the GitHub Actions pipeline, and monitors progress to reduce friction and risk.
Ask me to deploy to dev or prod and I will perform pre-flight checks, trigger the GitHub Actions pipeline, and monitor progress.
High-intent search queries and answers about installing and using this skill.
Automated deployments to dev and prod are handled by validating repository state, secrets, and environment readiness before triggering and monitoring the GitHub Actions pipeline. This guided process ensures safe, traceable releases with reduced manual friction.
Pre-flight checks for a CI/CD pipeline include validating the repository state, verifying configured secrets and variables, confirming environment readiness, and checking versioning. These checks ensure safe and reliable deployment execution before the pipeline triggers.
Yes, this deployment automation works with Docker-based infrastructure. It applies to projects using GitHub workflows with Docker-based environments, guiding deployments to both development and production safely.
Yes, you can monitor GitHub Actions deployment progress in real-time. The process provides status updates and safety checks, offering rollback guidance as needed to manage deployment risks.
Safe and traceable deployments to production are best ensured by automating pre-flight validation, triggering the GitHub Actions pipeline, and monitoring progress. This reduces manual errors and maintains deployment safety.
Manual deployments to development and production fail due to human error in validating repository state, secrets, and environment readiness. Automating these pre-flight checks and monitoring the pipeline reduces friction and deployment risk.
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