devops-suite
Skill4 starsChanged 6 months agoMITView on GitHub
Full-stack DevOps AI covering 40+ specialist skills across cloud infrastructure, CI/CD, containers, databases, observability, incident response, security, shell scripting, performance, and AI/ML ops. Use for Docker, AWS/Azure/GCP serverless, Kubernetes, GitHub Actions, database migrations, Prometheus, SLOs, distributed tracing, incident response, postmortems, secrets management, Bash/PowerShell, cost optimization, vector databases, legacy modernization, and workflow automation. Trigger keywords: DevOps, infrastructure, cloud, deploy, CI/CD, Docker, container, Kubernetes, AWS, Azure, GCP, serverless, Lambda, database migration, monitoring, observability, Prometheus, Grafana, alerting, SLO, tracing, OpenTelemetry, incident, postmortem, on-call, secrets, Vault, bash, shell, PowerShell, git workflow, performance, cost optimization, vector database, RAG, legacy migration, workflow automation.
In this repository10 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 117
All sub-skill instructions are in references/skills-catalog.md.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
DevOps Suite
A complete, modular DevOps AI covering the full infrastructure and operations lifecycle — from cloud deployment and containers to observability, incident response, database migrations, and workflow automation.
How to Use This Skill
- Identify the task category from the routing table below
- Load the matching sub-skill from
references/skills-catalog.md - Execute following the sub-skill's workflow
Quick Routing Table
☁️ Cloud & Infrastructure
| Task | Load |
| AWS Lambda, API Gateway, DynamoDB, SAM/CDK, cold start optimization | aws-serverless |
| Azure Functions, bindings, triggers, Durable Functions | azure-functions |
| GCP Cloud Run, deployment, scaling, traffic management | gcp-cloud-run |
| Vercel deployment, edge functions, preview environments | vercel-deployment |
| Linux server setup, hardening, process management, systemd | server-management |
🐳 Containers & Orchestration
| Task | Load |
| Dockerfile optimization, multi-stage builds, Docker Compose, container security | docker-expert |
🔄 CI/CD & Git
| Task | Load |
| GitHub Actions automation, AI-assisted PR review, issue triage | github-workflow-automation |
| Full git workflow orchestration — code review → commit → PR creation | git-workflow |
| Deployment runbooks, release procedures, environment promotion | deployment-procedures |
| Config validation, deployment pre-flight checks | deployment-validation |
🗄️ Databases
| Task | Load |
| Schema migrations across ORMs (Prisma, TypeORM, Sequelize), zero-downtime | database-migration |
| Migration observability, SQL migration scripts, rollback planning | database-migrations |
| Cloud database cost optimization, rightsizing, query cost analysis | database-cloud-optimization |
| Pinecone, Weaviate, Qdrant, Milvus, pgvector, RAG systems, embedding pipelines | vector-database-engineer |
| HNSW/IVF index tuning, recall vs. latency tradeoffs, ANN benchmarks | vector-index-tuning |
📊 Observability & Monitoring
| Task | Load |
| Jaeger/Tempo distributed tracing, OpenTelemetry, service dependency mapping | distributed-tracing |
| Full-stack monitoring setup — metrics, logs, traces, dashboards | observability-monitoring |
| Prometheus configuration, scrape config, recording rules, PromQL | prometheus-configuration |
| SLI/SLO definition, error budgets, SLO-based alerting | slo-implementation |
🚨 Debugging & Incidents
| Task | Load |
| Log analysis, error pattern detection, stack trace correlation | error-detective |
| Error diagnostics, root cause analysis across distributed systems | error-diagnostics |
| Kubernetes/container/network troubleshooting, APM debugging | devops-troubleshooter |
| Active production incident — triage, command, communication | incident-responder |
| Post-incident postmortem writing, blameless RCA, action items | postmortem-writing |
| Cross-service distributed debugging, trace correlation | distributed-debugging |
⚡ Performance
| Task | Load |
| End-to-end performance optimization, profiling, load testing, Core Web Vitals | performance-engineer |
🔒 Security & Secrets
| Task | Load |
| Vault, AWS Secrets Manager, Azure Key Vault, secret rotation, CI/CD secrets | secrets-management |
| mTLS configuration, mutual TLS, certificate management | mtls-configuration |
🖥️ Shell & Scripting
| Task | Load |
| Production Bash scripting, defensive patterns, CI/CD automation | bash-pro |
| PowerShell Windows automation, operator syntax, error handling | powershell-windows |
| Linux shell scripting, POSIX compliance, system administration | linux-shell-scripting |
💰 Cost & Architecture
| Task | Load |
| Cloud cost reduction, rightsizing, reserved instances, spend analysis | cost-optimization |
| Agent orchestration improvement, prompt engineering, performance analysis | agent-orchestration |
| C4 architecture diagrams — context, container level | c4-diagrams |
🔧 Modernization & Process
| Task | Load |
| Legacy codebase refactoring, framework migrations, strangler fig pattern | legacy-modernizer |
| Dependency upgrades, framework version migrations, backward compatibility | framework-migration |
| Risk assessment, mitigation planning, decision documentation | risk-manager |
🤖 AI/ML Ops & Data
| Task | Load |
| LangChain agents, LLM application development, pipeline architecture | llm-application-dev |
| Data pipeline design, ETL/ELT, streaming architecture | data-engineering |
| Workflow automation — n8n, Temporal, Inngest, durable execution patterns | workflow-automation |
Loading Sub-Skills
All sub-skill instructions are in references/skills-catalog.md.
devops-suite/
├── SKILL.md ← You are here (routing hub)
└── references/
└── skills-catalog.md ← Full instructions for all skillsAlways read the relevant section of skills-catalog.md before executing any task.
Universal DevOps Standards
Infrastructure as code first — Every manual change should become an automated, repeatable process. Document before you touch production.
Observability before changes — Understand the baseline before deploying. Set up monitoring before you need it in a crisis.
Blameless culture — Systems fail, not people. Root causes are in processes and architecture, not individuals.
Security by default — Secrets never in code. Least privilege always. Encryption in transit and at rest.
Idempotency — Scripts and deployments should be safe to run multiple times. Assume partial failure.
Rollback first — Before every deployment, know exactly how to roll back. Test the rollback procedure.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

