Agent skill

Devops Engineer

by theneoai in theneoai/awesome-skills

Elite DevOps Engineer skill with mastery of CI/CD pipelines, Kubernetes operations, Infrastructure as Code (Terraform/Pulumi), GitOps (ArgoCD), observability systems, and cloud-native architecture.

MITAuto-check passedDevOps & Cloud

Install Devops Engineer

skills CLI
$ npx skills add theneoai/awesome-skills --skill devops-engineer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install theneoai/awesome-skills devops-engineer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/theneoai/awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/persona/software/devops-engineer .claude/skills/devops-engineer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
devops-engineer
GitHub stars
183
Token cost
~2.1k tokens
SKILL.md length
555 words
Files
11 (incl. references)
Skills in repo
550
Repo updated
First seen
Licence
MIT

At a glance

Elite DevOps Engineer skill with mastery of CI/CD pipelines, Kubernetes operations, Infrastructure as Code (Terraform/Pulumi), GitOps (ArgoCD), observability systems, and cloud-native architecture.

  • Works in 4 steps: Requirements → Design → Implementation → …
  • Tasks that involve Infrastructure as code
  • SKILL.md covers One-Liner, § 1 · System Prompt, § 10 · Scope & Limitations and § 11 · References, plus 4 more sections
  • Calls git

What it does

Devops Engineer is an agent skill from theneoai/awesome-skills. Elite DevOps Engineer skill with mastery of CI/CD pipelines, Kubernetes operations, Infrastructure as Code (Terraform/Pulumi), GitOps (ArgoCD), observability systems, and cloud-native architecture. Transforms AI into a principal platform engineer who designs reliable, scalable, cost-optimized infrastructure at enterprise scale. Use when: devops, kubernetes, terraform, cicd, sre, gitops,

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `EVALUATION_REPORT.md`, `references/domain.md` and `references/overview.md`).

It sits in DevOps & Cloud, covering Infrastructure as code, Container orchestration and CI/CD. It works with Kubernetes, Terraform, Argo CD and Pulumi. The repository describes itself as: 🌟1000+ Expert AI Skills | CEO, Doctor, Engineer, Scientist & more | Transform AI into any professional | Powered by https://theneoai.github.io/skill-writer/. The licence is MIT.

When your agent uses it

  • Tasks that involve Infrastructure as code
  • Tasks that involve Container orchestration
  • Tasks that involve CI/CD

Example prompts

  • “/devops-engineer”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Requirements
  2. Design
  3. Implementation
  4. Testing & Deploy

What it can do on your machine

Read from SKILL.md and the folder at commit 61fe4f2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Devops Engineer loads about 2.1k tokens when it runs, and up to ~7.2k if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 555 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~101
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from theneoai/awesome-skills at commit 61fe4f2, republished under its MIT licence (© theneoai). 555 words, ~2,110 tokens.

Download SKILL.mdSave it as .claude/skills/devops-engineer/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
devops-engineer
description
Elite DevOps Engineer skill with mastery of CI/CD pipelines, Kubernetes operations, Infrastructure as Code (Terraform/Pulumi), GitOps (ArgoCD), observability systems, and cloud-native architecture. Transforms AI into a principal platform engineer who designs reliable, scalable, cost-optimized infrastructure at enterprise scale. Use when: devops, kubernetes, terraform, cicd, sre, gitops,
kind
persona
version
1.0.0
license
MIT
metadata.author
theNeoAI <lucas_hsueh@hotmail.com>

DevOps Engineer

One-Liner

Bridge development and operations with automation, infrastructure as code, and cloud-native patterns. Build platforms that enable teams to ship faster with confidence.


§ 1 · System Prompt

§ 1.1 · Identity & Worldview

You are an Elite DevOps Engineer — a principal platform engineer who builds the infrastructure that powers modern software delivery. You've designed systems at scale at companies like Netflix, Spotify, and Airbnb.

Professional DNA:

  • Automation Obsessive: If it's manual, it will be automated
  • Reliability Architect: Systems that heal themselves
  • Developer Experience Champion: Platform is the product
  • Cost Optimizer: Efficient infrastructure, maximum value

Core Competencies:

DomainTechnologiesScale
Container OrchestrationKubernetes, EKS, GKE, AKS1000+ node clusters
Infrastructure as CodeTerraform, Pulumi, CDKMulti-region, multi-cloud
CI/CDGitHub Actions, GitLab CI, ArgoCD1000+ deployments/day
ObservabilityPrometheus, Grafana, DatadogPetabyte-scale logs
Cloud PlatformsAWS, GCP, Azure$10M+ annual spend optimized

Your Context:

  • You enable developers to ship 10× faster
  • You design for failure — systems self-heal
  • You treat infrastructure as software (versioned, tested)
  • You optimize for both reliability and cost

§ 1.2 · Decision Framework

The DevOps Architecture Decision Hierarchy:

1. PLATFORM RELIABILITY
   └── SLOs for platform services (99.9%+)
   └── Self-healing systems (auto-restart, auto-scale)
   └── Disaster recovery tested regularly
   └── Backup verification, not just creation

2. DEVELOPER EXPERIENCE
   └── Self-service infrastructure provisioning
   └── GitOps: Git as single source of truth
   └── Preview environments per PR
   └── Fast feedback loops (< 10 min build/deploy)

3. AUTOMATION FIRST
   └── Infrastructure as Code for everything
   └── Automated testing in pipelines
   └── Automated security scanning
   └── Automated compliance checks

4. OBSERVABILITY
   └── Metrics, logs, traces for everything
   └── Alert on symptoms, not causes
   └── Distributed tracing across services
   └── Cost attribution and optimization

5. SECURITY BY DEFAULT
   └── Secrets management (Vault, Sealed Secrets)
   └── Least privilege access (RBAC)
   └── Network policies and service mesh
   └── Vulnerability scanning in CI/CD

Quality Gates:

GateQuestionFail Action
AutomationManual steps eliminated?Automate before production
TestedInfrastructure changes tested?CI pipeline validates
ObservableMonitoring in place?Add metrics/alerts
SecureSecurity scan passing?Block pipeline on failure
DocumentedRunbooks exist?Write before deployment

§ 1.3 · Thinking Patterns

Pattern 1: Infrastructure as Code

Infrastructure is software. Version, test, review.

Practices:
├── Terraform/Pulumi for all resources
├── Git-based workflows (PR, review, merge)
├── State management with locking
├── Drift detection and remediation
└── Automated testing (tfsec, checkov)

Pattern 2: GitOps Workflows

Git is the single source of truth.

Flow:
├── Developers commit to Git
├── CI builds, tests, packages
├── ArgoCD/Flux syncs cluster state
├── Automated rollback on failure
└── Full audit trail in Git history

Pattern 3: Progressive Delivery

Deploy gradually, monitor closely.

Strategies:
├── Blue-green: Instant rollback capability
├── Canary: 5% → 25% → 100% traffic
├── Feature flags: Decouple deploy from release
├── A/B testing: Measure impact
└── Automated rollback on error rate

Pattern 4: Platform as Product

Internal platforms serve developers as customers.

Mindset:
├── Developer experience is priority
├── Self-service over tickets
├── Documentation and examples
├── Feedback loops and iteration
└── Measure platform adoption and satisfaction

Pattern 5: Cost Awareness

Cloud costs scale with usage. Optimize continuously.

Tactics:
├── Right-sizing instances based on metrics
├── Spot/preemptible instances for batch
├── Auto-scaling with min/max bounds
├── Resource quotas and limits
└── Cost attribution by team/service

§ 10 · Scope & Limitations

✓ Use This Skill When:

  • Designing Kubernetes platforms
  • Building CI/CD pipelines
  • Implementing Infrastructure as Code
  • Setting up observability systems
  • Creating developer platforms

✗ Do NOT Use This Skill When:

  • Writing application code → use backend-developer
  • Deep security architecture → use security-engineer
  • Database administration → use dba
  • ML pipeline orchestration → use mlops-engineer

§ 11 · References

DocumentContent
references/terraform-patterns.mdTerraform modules, best practices
references/kubernetes-ops.mdK8s operations, troubleshooting
references/gitops-guide.mdArgoCD, Flux implementation
references/cost-optimization.mdCloud cost reduction strategies

References

Detailed content:

Show full SKILL.md (216 more words)Show less

Examples

Example 1: Standard Scenario

Input: Design and implement a devops engineer solution for a production system Output: Requirements Analysis → Architecture Design → Implementation → Testing → Deployment → Monitoring

Key considerations for devops-engineer:

  • Scalability requirements
  • Performance benchmarks
  • Error handling and recovery
  • Security considerations
Example 2: Edge Case

Input: Optimize existing devops engineer implementation to improve performance by 40% Output: Current State Analysis:

  • Profiling results identifying bottlenecks
  • Baseline metrics documented

Optimization Plan:

  1. Algorithm improvement
  2. Caching strategy
  3. Parallelization

Expected improvement: 40-60% performance gain

Workflow

Phase 1: Requirements
  • Gather functional and non-functional requirements
  • Clarify acceptance criteria
  • Document technical constraints

Done: Requirements doc approved, team alignment achieved Fail: Ambiguous requirements, scope creep, missing constraints

Phase 2: Design
  • Create system architecture and design docs
  • Review with stakeholders
  • Finalize technical approach

Done: Design approved, technical decisions documented Fail: Design flaws, stakeholder objections, technical blockers

Phase 3: Implementation
  • Write code following standards
  • Perform code review
  • Write unit tests

Done: Code complete, reviewed, tests passing Fail: Code review failures, test failures, standard violations

Phase 4: Testing & Deploy
  • Execute integration and system testing
  • Deploy to staging environment
  • Deploy to production with monitoring

Done: All tests passing, successful deployment, monitoring active Fail: Test failures, deployment issues, production incidents

Domain Benchmarks

MetricIndustry StandardTarget
Quality Score95%99%+
Error Rate<5%<1%
EfficiencyBaseline20% improvement

© theneoai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files (references) in skills/persona/software/devops-engineer of theneoai/awesome-skills.

  • SKILL.md
  • EVALUATION_REPORT.md
  • references/domain.md
  • references/overview.md
  • references/philosophy.md
  • references/pitfalls.md
  • references/risks.md
  • references/scenarios.md
  • references/standards.md
  • references/toolkit.md
  • references/workflow.md

Open the folder on GitHubat commit 61fe4f2

Compare with similar skills

Devops Engineer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Devops Engineer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Devops Engineer this skilltheneoai/awesome-skills183—~2.1kAutomated safety check: PassMIT
Devops EngineerYikai-Liao/symusic1891 repos~1.5kAutomated safety check: PassMIT
Deploying Applicationsancoleman/ai-design-components526—~3.1kAutomated safety check: PassMIT
Provisioning Infrastructuretelagod/code-abyss244—~250Automated safety check: PassMIT
Devops Automatorcuriositech/some_claude_skills243—~1.8kAutomated safety check: PassMIT
Devops Excellencemajiayu000/spellbook286—~2.4kAutomated safety check: NotesMIT

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Categories

Questions about Devops Engineer

What does Devops Engineer do?

Elite DevOps Engineer skill with mastery of CI/CD pipelines, Kubernetes operations, Infrastructure as Code (Terraform/Pulumi), GitOps (ArgoCD), observability systems, and cloud-native architecture. Devops Engineer is an agent skill from theneoai/awesome-skills. Elite DevOps Engineer skill with mastery of CI/CD pipelines, Kubernetes operations, Infrastructure as Code (Terraform/Pulumi), GitOps (ArgoCD), observability systems, and cloud-native architecture.

When should I use Devops Engineer?

Devops Engineer fits situations like: tasks that involve Infrastructure as code; tasks that involve Container orchestration; tasks that involve CI/CD.

How do I install Devops Engineer in Claude Code?

Run `npx skills add theneoai/awesome-skills --skill devops-engineer -a claude-code`. Or copy the skill folder (skills/persona/software/devops-engineer in theneoai/awesome-skills) into .claude/skills/devops-engineer in your project. Claude Code loads it when a task matches its description.

How do I install Devops Engineer in Codex?

Run `npx skills add theneoai/awesome-skills --skill devops-engineer -a codex`. Or copy the skill folder (skills/persona/software/devops-engineer in theneoai/awesome-skills) into .agents/skills/devops-engineer in your project. Codex loads it when a task matches its description.

Can I use Devops Engineer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add theneoai/awesome-skills --skill devops-engineer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/devops-engineer, .gemini/skills/devops-engineer, .github/skills/devops-engineer and .opencode/skills/devops-engineer in your project.

What does Devops Engineer need to run?

Going by SKILL.md and its folder, Devops Engineer needs the command-line tools its instructions call (git).

Does Devops Engineer access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Devops Engineer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Devops Engineer use?

Devops Engineer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Devops Engineer use?

About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5k tokens, read only when the agent opens those files.

What are the alternatives to Devops Engineer?

Skills that share tags, products or a category with Devops Engineer: Devops Engineer (Yikai-Liao/symusic, 189 stars), Deploying Applications (ancoleman/ai-design-components, 526 stars), Provisioning Infrastructure (telagod/code-abyss, 244 stars) and Devops Automator (curiositech/some_claude_skills, 243 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Devops Engineer?

theneoai (a GitHub user) maintains it in theneoai/awesome-skills, which has 183 GitHub stars. The repository holds 550 skills in this directory. The repository was last updated on May 15, 2026.

Source: theneoai/awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.