Ops Engineering Skills
Description
Open-source, cross-agent Agent Skills for DevOps, DevSecOps, Cloud, Kubernetes/platform engineering, CI/CD tooling, GitOps/Argo, policy, security scanning, SRE, standards/compliance, MLOps, AgentOps, and enterprise collaboration. Build once, use in Claude Code, GitHub Copilot, OpenAI Codex, Cursor and Gemini CLI.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Ops Engineering Skills
**The open-source Agent Skills library for the entire enterprise engineering stack.** DevOps, DevSecOps, Cloud, Kubernetes, CI/CD, GitOps, security scanning, SRE, compliance, databases, messaging, service mesh, serverless, internal developer platforms, MLOps, and AgentOps — written once to the open [Agent Skills standard](https://agentskills.io) and usable natively in **Claude Code**, **Claude.ai**, **GitHub Copilot**, **OpenAI Codex**, **Cursor**, **Gemini CLI**, and any other agent that implements the spec.
[](LICENSE) [](https://agentskills.io) [](docs/SKILLS_INDEX.md) [](#whats-covered) [](CONTRIBUTING.md) [](docs/VALIDATION_REPORT.md)
If you've ever wished your AI coding agent gave you production-grade, opinionated guidance on a Kubernetes rollout, an IAM policy, a Terraform migration, an MCP server, or a model-serving setup — instead of a paragraph of generic textbook advice — that's exactly what this repository is for.
Table of contents
- Why this exists
- See it in action
- What's covered
- How skills are authored
- Installation
- Using a skill once installed
- Repository structure
- Validation & quality bar
- Roadmap
- FAQ
- Contributing
- Security
- License
Why this exists
Most AI-agent guidance today falls into one of two traps:
- **T
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