Cloud

Cloudflare Workers KV global key-value storage. Use for namespaces, caching, TTL, or encountering KV_ERROR, 429 rate limits, consistency issues.

Nuxt Content v3 Git-based CMS for Markdown/MDC content sites. Use for blogs, docs, content-driven apps with type-safe queries, schema validation (Zod/Valibot), full-text search, navigation utilities. Supports Nuxt Studio production editing, Cloudflare D1/Pages deployment, Vercel deployment, SQL storage, MDC components, content collections.

Production React + Cloudflare Workers + Hono starter with D1, KV, R2, Workers AI. Use for full-stack projects, MVPs, AI apps on Cloudflare.

Cloudflare Workers security with authentication, CORS, rate limiting, input validation. Use for securing APIs, JWT/API keys, or encountering auth failures, CORS errors, XSS/injection vulnerabilities.

Cloudflare D1 serverless SQLite on edge. Use for databases, migrations, bindings, or encountering D1_ERROR, statement too long, too many requests queued errors.

This skill should be used when the user asks to "set up Cloudflare Queues", "create a message queue", "implement queue consumer", "process background jobs", "configure queue retry logic", "publish messages to queue", "implement dead letter queue", or encountering "queue timeout", "message retry", "throughput exceeded", "queue backlog" errors.

Design and govern multi-cloud operations with validated landing zones

Cloud CLI patterns for GCP and AWS. Use when running bq queries, gcloud commands, aws commands, or making decisions about cloud services. Covers BigQuery cost optimization and operational best practices.

Cloud browser infrastructure for AI agents - create sessions, persist contexts, and automate browsers

Query AWS CloudWatch logs for staging and production environments. Use for debugging errors, investigating incidents, or monitoring application behavior. PRIMARY - aws logs tail "/ecs/codel-staging" --follow --format short | grep -iE "error|exception"

CLI-first AWS orchestration skill for Lambda, ECS/Fargate, and S3 workflows rooted in `.☁️` runbooks.

Vast.ai API Documentation - Affordable GPU Cloud Marketplace

Comprehensive infrastructure engineering covering DevOps, cloud platforms, FinOps, and DevSecOps. Platforms: AWS (EC2, Lambda, S3, ECS, EKS, RDS, CloudFormation), Azure basics, Cloudflare (Workers, R2, D1, Pages), GCP (GKE, Cloud Run, Cloud Storage), Docker, Kubernetes. Capabilities: CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), GitOps, infrastructure as code (Terraform, CloudFormation), container orchestration, cost optimization, security scanning, vulnerability management, secrets management, compliance (SOC2, HIPAA). Actions: deploy, configure, manage, scale, monitor, secure, optimize cloud infrastructure. Keywords: AWS, EC2, Lambda, S3, ECS, EKS, RDS, CloudFormation, Azure, Kubernetes, k8s, Docker, Terraform, CI/CD, GitHub Actions, GitLab CI, Jenkins, ArgoCD, Flux, cost optimization, FinOps, reserved instances, spot instances, security scanning, SAST, DAST, vulnerability management, secrets management, Vault, compliance, monitoring, observability. Use when: deploying to AWS/Azure/GCP/Cloudflare, setting up CI/CD pipelines, implementing GitOps workflows, managing Kubernetes clusters, optimizing cloud costs, implementing security best practices, managing infrastructure as code, container orchestration, compliance requirements, cost analysis and optimization.

시스템 구조, 흐름, 관계를 시각화할 때 사용. 아키텍처, 시퀀스, 플로우차트, AWS 인프라를 draw.io로 생성합니다. (user)

Terraform infrastructure-as-code patterns for AWS and Azure provisioning. Use when creating or modifying .tf files, writing Terraform modules, managing remote state (S3, Azure Storage), working with terraform commands (init, plan, apply, destroy), configuring providers (AWS, Azure, Google Cloud), or implementing infrastructure best practices like module design, workspace strategies, and state locking.

Azure cloud services, resource management, and Azure CLI patterns. Use when working with Azure resources, resource groups, ARM templates, az commands (az vm, az network, az storage, az aks), Azure naming conventions, RBAC policies, networking (VNet, NSG, Application Gateway), or implementing Azure best practices for resource organization, cost management, and security.

Analyze visual regression test failures in Vizzly. Use when the user mentions failing visual tests, screenshot differences, visual bugs, diffs, or asks to debug/investigate/analyze visual changes. Works with both local TDD and cloud modes.

Patterns for AWS Lambda, DynamoDB, SQS, and Secrets Manager. Use when working on serverless AWS projects.

Convenience wrapper for listing Terraform Cloud runs in Forum Virium Helsinkiworkspaces (github, sentry, gcp, onelogin, twingate). Requires TFE_TOKEN.Use when user mentions TFC runs, Terraform Cloud workspace, listing TFC runs,infrastructure run history, or checking Terraform Cloud status.

Agent Skill: Comprehensive Jira integration through lightweight Python scripts. AUTOMATICALLY TRIGGER when user mentions Jira URLs like 'https://jira.*/browse/*', 'https://*.atlassian.net/browse/*', or issue keys like 'PROJ-123'. Use when searching issues (JQL), getting/updating issue details, creating issues, transitioning status, adding comments, logging worklogs, managing sprints and boards, creating issue links, or formatting Jira wiki markup. If authentication fails, offer to configure credentials interactively. Supports both Jira Cloud and Server/Data Center with automatic authentication detection. By Netresearch.