Git Ops

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However, based on the standard definition of GitOps in the context of AI agents (as implied by the slug and author "nickcrew/claude-ctx-plugin"), here is a representative guide structure. If you have the specific content text from the skill page, please provide it for an accurate rewrite.

What it does

This skill enables AI agents to manage infrastructure and application deployments by interacting directly with Git repositories as the single source of truth. It automates the synchronization of cluster state with the desired configuration defined in code.

When to use it

• Automating CI/CD pipelines for Kubernetes or container orchestration platforms.
• Enforcing declarative infrastructure management where changes are made via Pull Requests.
• Resolving drift between the live environment and the intended Git repository state.
• Facilitating automated rollbacks when deployment configurations fail validation.

Key capabilities

• Reading and parsing YAML manifests from remote repositories.
• Triggering deployment workflows based on Git commit events or branch merges.
• Validating infrastructure changes against policy-as-code rules before application.
• Executing kubectl or Helm commands to apply or revert configurations.

Example prompts

• "Review the latest pull request in our staging repo and prepare a summary of the infrastructure changes."
• "Apply the new Kubernetes manifest from the main branch to the production cluster if it passes validation."
• "Identify any configuration drift between our live environment and the develop branch."

Tips & gotchas

Ensure your AI agent has read/write access to the specific Git repositories and necessary permissions on your cluster. Always test changes in a staging environment before applying them to production using this skill.