MCPInstall

ops-devops-platform

Designs DevOps and platform engineering systems. Use when planning Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, or cloud-native operations.

Installs
190
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/vasilyu1983/ai-agents-public --skill ops-devops-platform
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads ops-devops-platform automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

DevOps and Platform Engineering

Quick Reference

NeedStarting Direction
infrastructure provisioningTerraform, OpenTofu, Pulumi, or cloud-native IaC
cluster or app deploymentGitOps first for steady-state, direct tooling for local iteration
CI/CDprotected pipelines plus workload identity and supply-chain controls — see supply-chain-security
observabilityOpenTelemetry plus metrics, logs, traces, and SLO-based alerting
platform engineeringgolden paths, policy-as-code, and self-service interfaces
incident operationsrunbooks, severity model, escalation, and postmortems

Workflow

  1. classify the dominant problem:
    • provisioning
    • deployment
    • CI/CD
    • observability
    • platform engineering
    • security hardening
    • incident operations
  2. choose the smallest viable toolchain that matches the runtime and team skill
  3. load the relevant reference and template set
  4. use source and release links to check the target runtime's supported APIs, tool compatibility, and deprecations; for provenance, load supply-chain-security and assess the actual builder against the selected SLSA track
  5. separate evidence stages: static lint/plan, target-environment reconciliation, runtime health plus a representative service path, and rollback or roll-forward readiness
  6. finish with concrete operational outputs: plan, controls, owners, artifact or commit identity, environment, observation window, and untested failure modes

Decision Rules

SituationRule
infrastructure changeIaC by default; reconcile an emergency manual change back into code before the next promotion
steady-state production reconciliationGitOps (Argo CD / Flux) over push-based deploys
CI credentialsworkload identity (OIDC) over long-lived secrets
alertingpage on actionable SLO burn rates or imminent capacity exhaustion; send diagnostic host metrics to dashboards
new environmentsplatform template + policy guard; no snowflakes
supply-chain integritySLSA build track + cosign keyless signing
driftdetect via reconciler or terraform plan in CI; never discover by accident

Related Routing

  • service-level retries, deadlines, and chaos engineering -> qa-resilience
  • telemetry implementation details -> qa-observability
  • backend service design -> software-backend
  • system architecture -> software-architecture-design
  • appsec-specific design -> software-security-appsec
  • Git branch and PR workflow policy -> dev-git-workflow
  • running a live incident, on-call, or postmortems -> ops-incident-response
  • cloud, SaaS, or AI API spend -> ops-cost-optimization
  • .NET builds on NUKE -> ops-nuke-cicd

Guardrails

DomainDoAnti-pattern to avoid
Provisioningall material changes in IaC; explicit promotion gatesclickops drift; untagged infrastructure
Deliveryprotected pipelines; artifact provenance; rollback + smoke checkspipelines without identity boundaries
Platformgolden paths before self-service; policy-as-code that reduces variationtools shipped without adoption path or ownership
Observabilitydefine SLOs first; join logs/traces/metrics on shared trace IDalert fatigue from raw host-metric thresholds
Incidentspostmortems feed runbooks and platform changespostmortems that stop at narrative
Costtagging + budget alerts at resource creation; monthly right-sizingunmanaged snowflake environments; unreviewed reservations

Navigation

Reference routing

Load when…Reference
supply-chain, SBOM, signing, SLSAreferences/supply-chain-security.md
DORA's five metrics and team archetypes (Elite/High/Medium/Low tiers are retired), AI-adoption instability tax, general DevOps best practicesreferences/devops-best-practices.md
GitLab CI — parent/child pipelines, MR variable traps, env-export patternreferences/gitlab-ci-patterns.md
choosing a tool (IaC, GitOps, CI, policy, observability)references/tool-landscape.md
golden paths, internal developer portal, platform maturity, when NOT to build an IDP, platform-vs-product boundary, measuring team cognitive load (Weis four-cluster model, Teamperature, leadership load), CI/IaC/GitOps adoption sequencingreferences/platform-engineering-patterns.md
GitOps multi-env promotion, Argo CD / Flux patterns, automation lag and why continuous apply beats apply-on-changereferences/gitops-workflows.md
Terraform state isolation, why terraform workspace is wrong for environments, stage/prod/mgmt/global layout, secrets-in-state and backend choicereferences/terraform-state-architecture.md
stack sizing (monolithic → application-group → service → micro), blast radius, "is my stack a monolith?"references/stack-sizing-patterns.md
IaC testing rungs and their blind spots, infrastructure test diamond vs pyramid, Swiss-cheese layeringreferences/infrastructure-testing-strategy.md
on-call, severity model, escalation, postmortemsreferences/sre-incident-management.md
day-2 operational runbooks, environment hygienereferences/operational-patterns.md
AIOps alert correlation, automated triagereferences/aiops-patterns.md
Kalman canary, cost autoscaler, CI capacity stabiliserreferences/control-theory-applied.md
capacity planning, saturation SLO, pipeline bottleneck huntreferences/queueing-theory-applied.md
CI/CD throughput recovery, constraint surfacing, spend reallocationreferences/theory-of-constraints-applied.md
platform-team charter, algedonic escalation, PRR auditreferences/cybernetics-vsm-applied.md
MTBF/MTTR, availability budgets, FMEAreferences/reliability-theory-applied.md
CAP/PACELC, consensus, idempotency, quorumsreferences/distributed-systems-applied.md
source URLs and release trackersdata/sources.json

When changing the source inventory, run python3 scripts/validate_sources.py --skip-network from this skill directory for schema and coverage only. Run the offline CLI regressions with python3 -m pytest scripts/test_validate_sources.py. URL reachability and source content require separate checks; a schema pass does not refresh evidence dates.

Templates

AWS / GCP / Azure

  • assets/aws/template-aws-ops.md — AWS day-2 ops checklist
  • assets/aws/template-aws-terraform.md — AWS Terraform module skeleton
  • assets/aws/template-cost-optimization.md — AWS cost right-sizing and reservation review
  • assets/gcp/template-gcp-ops.md — GCP day-2 ops checklist
  • assets/gcp/template-gcp-terraform.md — GCP Terraform module skeleton
  • assets/azure/template-azure-ops.md — Azure day-2 ops checklist

Kubernetes

  • assets/kubernetes/template-kubernetes-ops.md — cluster day-2 ops, probe and rolling-update rules, HPA checklist
  • assets/kubernetes/template-ha-dr.md — HA and disaster-recovery topology
  • assets/kubernetes/template-platform-api.md — platform API contract for self-service
  • assets/kubernetes/template-k8s-deploy.yaml — base Deployment manifest

Docker / Kafka

  • assets/docker/template-docker-ops.md — image build and runtime hardening
  • assets/kafka/template-kafka-ops.md — Kafka cluster operations

Terraform / IaC

  • assets/terraform-iac/template-iac-terraform.md — root module structure
  • assets/terraform-iac/template-module.md — reusable child module
  • assets/terraform-iac/template-env-promotion.md — environment promotion workflow

CI/CD and GitOps

  • assets/cicd-pipelines/template-ci-cd.md — generic CI/CD pipeline design
  • assets/cicd-pipelines/template-github-actions.md — GitHub Actions workflow with OIDC
  • assets/cicd-pipelines/template-gitops.md — GitOps promotion pipeline
  • assets/cicd-pipelines/template-release-safety.md — release gates and rollback

Monitoring / Observability

  • assets/monitoring-observability/template-slo.md — SLO definition sheet
  • assets/monitoring-observability/template-alert-rules.md — burn-rate alert rules
  • assets/monitoring-observability/template-observability-slo.md — full observability + SLO stack
  • assets/monitoring-observability/template-loadtest-perf.md — load-test and performance baseline

Incident response

  • assets/incident-response/template-postmortem.md — blameless postmortem
  • assets/incident-response/template-runbook-starter.md — runbook starter
  • assets/incident-response/template-incident-comm.md — stakeholder communications
  • assets/incident-response/template-incident-response.md — full IR playbook

Security / Cost

  • assets/security/template-security-hardening.md — hardening checklist
  • assets/cost-governance/template-cost-governance.md — FinOps tagging and budget controls

Shared utilities

  • ../software-clean-code-standard/references/config-validation.md
  • ../software-clean-code-standard/references/resilience-utilities.md
  • ../software-clean-code-standard/references/logging-utilities.md
  • ../software-clean-code-standard/references/observability-utilities.md

Related Skills

  • ../qa-resilience/SKILL.md
  • ../data-sql-optimization/SKILL.md
  • ../qa-observability/SKILL.md
  • ../qa-debugging/SKILL.md
  • ../software-security-appsec/SKILL.md
  • ../software-backend/SKILL.md
  • ../software-architecture-design/SKILL.md
  • ../dev-api-design/SKILL.md
  • ../dev-git-workflow/SKILL.md
  • ../ai-mlops/SKILL.md

Learnings Loop

When prior decisions or pitfalls are relevant, consult learnings.consolidated.md if present; use learnings.md only for needed history or as the available fallback. Otherwise skip both.

After applying it, if you encountered a pattern worth remembering, a mistake worth preventing, or a domain fact that surprised you, append one dated bullet to learnings.md via agents-skills-feedback-loop/scripts/append_learning.py. Do not modify SKILL.md itself.

FAQ

What does the ops-devops-platform skill do?

Designs DevOps and platform engineering systems. Use when planning Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, or cloud-native operations.

How do I install ops-devops-platform?

Run npx skills add https://github.com/vasilyu1983/ai-agents-public --skill ops-devops-platform in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ops-devops-platform/ (personal) or .claude/skills/ops-devops-platform/ (project).

Which AI agents can use ops-devops-platform?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is ops-devops-platform safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains ops-devops-platform?

It is published by vasilyu1983 in vasilyu1983/ai-agents-public. It has 190 recorded installs.

More from vasilyu1983/ai-agents-public

View all →

software-architecture-design

vasilyu1983/ai-agents-public

Designs runtime topology in a chosen solution. Use when choosing monolith vs services, cells, consistency, ADRs. Not for cross-system design (software-solution-architecture).

product-management

vasilyu1983/ai-agents-public

Guides founder-PM discovery, roadmaps, prioritization, and PMF measurement. Use when planning product strategy, metrics, or roadmaps.

AI & Agents914 installs

document-xlsx

vasilyu1983/ai-agents-public

Builds Excel charts, pivots, validation, exports, Office Scripts/Graph automation, and workbook audits. Use when automating workbooks; for plain edits prefer official xlsx skill.

Data & Databases875 installs

software-ui-ux-design

vasilyu1983/ai-agents-public

Designs and audits UI/UX systems with usability and accessibility requirements. Use when shaping flows, design systems, interaction patterns, or WCAG-aware product behavior.

Frontend & Design731 installs

document-pdf

vasilyu1983/ai-agents-public

Handles PDF/UA accessibility, real redaction, metadata scrubbing, signing, and extraction. Use when redacting or signing PDFs; for plain create/merge prefer the official pdf skill.

Docs & Writing689 installs

qa-testing-playwright

vasilyu1983/ai-agents-public

Builds and debugs Playwright E2E suites. Use when authoring browser tests, fixing flakes, or hardening Playwright CI and locator strategy.

Testing & QA665 installs

Popular devops & cloud skills

View category →

microsoft-foundry

microsoft/azure-skills

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure

OfficialDevOps & Cloud579.1K installs

azure-diagnostics

microsoft/azure-skills

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.

OfficialDevOps & Cloud569.8K installs

azure-prepare

microsoft/azure-skills

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

OfficialDevOps & Cloud569K installs

azure-ai

microsoft/azure-skills

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

OfficialDevOps & Cloud568.8K installs

azure-deploy

microsoft/azure-skills

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.

OfficialDevOps & Cloud568.6K installs

azure-validate

microsoft/azure-skills

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.

OfficialDevOps & Cloud568K installs