Total 54,356 skills, DevOps & Cloud Services has 3362 skills
Showing 12 of 3362 skills
Use when you need to query, add, and update DNS records via aliyun-cli, including CNAME setup for Function Compute custom domains.
Expert Site Reliability Engineer specializing in SLOs, error budgets, and reliability engineering practices. Proficient in incident management, post-mortems, capacity planning, and building scalable, resilient systems with focus on reliability, availability, and performance.
UpCloud integration. Manage data, records, and automate workflows. Use when the user wants to interact with UpCloud data.
Bunnyshell integration. Manage data, records, and automate workflows. Use when the user wants to interact with Bunnyshell data.
Amazon EKS integration. Manage data, records, and automate workflows. Use when the user wants to interact with Amazon EKS data.
Next.js/Vercel OpenTelemetry style: instrumentation.ts, @vercel/otel bootstrap, native @opentelemetry/api call sites, inline endpoint + ingest key, and no raw NodeSDK replacement.
Onboard a project to Superlog by installing OpenTelemetry traces, logs, and metrics across every app and service in the repo. Triggers on requests like 'install Superlog', 'set up Superlog', 'add Superlog telemetry', 'onboard this repo to Superlog', 'instrument with OpenTelemetry for Superlog'.
GCP cloud resources including Compute Engine, GKE, Cloud Run, Pub/Sub, VPC networking, DNS, IAM, Secret Manager, and monitoring. Monitor GCP infrastructure, analyze resource usage, audit security posture, and manage organizational hierarchy across projects and folders.
Expert guide for building CI/CD pipelines with GitHub Actions, Vercel, and other platforms. Use when automating builds, tests, deployments, or release workflows.
Creates Infrahub Generators — design-driven automation that builds infrastructure objects from templates and topology definitions. TRIGGER when: building design-to-implementation workflows, auto-creating objects from templates, topology-driven generation. DO NOT TRIGGER when: designing schemas, writing data transforms, querying live data, populating static data files.
Systematic GitHub Actions workflow authoring skill for AI coding agents. Analyzes repositories to determine project type, language ecosystem, and deployment targets, then generates production-grade CI/CD workflows with proper security hardening, caching, and optimization. Handles greenfield projects (no workflows exist), brownfield updates (modify, optimize, secure existing workflows), and workflow audits with workflow-specific guidance for each. Use when the user requests GitHub Actions workflows: CI pipelines, CD deployments, release automation, scheduled jobs, or any .github/workflows YAML authoring. Also use when existing workflows need auditing, optimizing, securing, or restructuring. Triggers on phrases like "set up CI", "add CI/CD", "GitHub Actions workflow", "release automation", "deploy on tag", "publish to npm/PyPI", "schedule a job", "cron workflow", "matrix build", "workflow.yml", "actions/checkout", "permissions", "harden this pipeline", "pin actions to SHA", "OIDC", "least privilege", "supply-chain", "audit my workflows", "speed up CI", or "cache dependencies". Triggers when creating or editing files under `.github/workflows/`, `action.yml`/`action.yaml` (composite or Docker actions), or `.github/dependabot.yml`. Triggers when the user mentions migrating from GitLab CI, CircleCI, Travis, Jenkins, Drone, or Buildkite to GitHub Actions. Do NOT use for non-GitHub CI systems (GitLab CI, CircleCI, Jenkins) unless the user is migrating TO GitHub Actions. Do NOT use for general bash scripting, Makefiles, or local-only build configuration.
Verify Single Step Instrumentation (SSI) is working end-to-end on Kubernetes — SSI automatically instruments applications for APM without code changes. Only use after enable-ssi has run.