senior-devops
DevOps workflow for CI/CD, infrastructure, observability, reliability, and safe deployments. Use when designing deployment pipelines, reviewing infra changes, improving operational readiness (alerts/runbooks), or auditing a repo’s production-readiness signals.
Best use case
senior-devops is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
DevOps workflow for CI/CD, infrastructure, observability, reliability, and safe deployments. Use when designing deployment pipelines, reviewing infra changes, improving operational readiness (alerts/runbooks), or auditing a repo’s production-readiness signals.
Teams using senior-devops should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/senior-devops/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How senior-devops Compares
| Feature / Agent | senior-devops | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
DevOps workflow for CI/CD, infrastructure, observability, reliability, and safe deployments. Use when designing deployment pipelines, reviewing infra changes, improving operational readiness (alerts/runbooks), or auditing a repo’s production-readiness signals.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Senior DevOps Make deployments repeatable and incidents survivable. ## Quick Start 1) Define the operational goal (latency, availability, cost) and deploy frequency. 2) Pipeline: build → test → package → deploy → verify → rollback. 3) Observability: logs/metrics/traces + alerts tied to user impact. 4) Runbooks: how to debug and how to roll back safely. ## Release readiness checklist - Rollback path is tested and documented. - Alerts are tied to user-facing impact and have clear owners. - Deploys are scoped, with feature flags for risky changes. ## Optional tool: repo ops inventory ```bash python ~/.codex/skills/senior-devops/scripts/repo_ops_inventory.py . --out /tmp/ops_inventory.md ``` ## References - Deployment checklist: `references/deploy-checklist.md`
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