Best Best AI Agent Skills for DevOps & Infrastructure
AI agent skills for CI/CD pipelines, Docker, Kubernetes, cloud deployments, monitoring, and infrastructure-as-code workflows.
Manages interactions with Model Context Protocol (MCP) servers to streamline tool discovery and execution. By automating the retrieval of tools and reducing context pollution, it enhances efficiency and allows developers to focus on their specific tasks without distractions.
npx skills add https://github.com/mrgoonie/claudekit-skills --skill mcp-managementFacilitates the creation of reusable Terraform modules focused on multi-cloud environments. Enables developers to build and maintain scalable infrastructure efficiently by automating best practices and ensuring compliance across platforms.
npx skills add https://github.com/jeffallan/claude-skills --skill terraform-engineerManages GraphQL schemas and supergraphs in Apollo projects by executing commands for publishing, validating, and fetching schemas. This skill streamlines development workflows, allowing teams to efficiently manage schema changes and automate CI/CD processes.
npx skills add https://github.com/apollographql/skills --skill roverTerraform Stacks simplify infrastructure provisioning and management at scale by providing a configuration layer above traditional Terraform modules. Stacks enable declarative orchestration of multiple components across environments, regions, and cloud accounts.
npx skills add https://github.com/hashicorp/agent-skills --skill terraform-stacksConfigures Sentry to monitor AI language model interactions and usage metrics such as token consumption. This automation aids developers in tracking and optimizing resource usage, directly improving application performance and cost management.
npx skills add https://github.com/getsentry/sentry-agent-skills --skill sentry-setup-ai-monitoring