Cloud
Cloud services and infrastructure
ci-cd
by srstomp
Use when creating or debugging CI/CD pipelines, implementing deployment strategies (blue-green, canary, rolling), optimizing build times, reviewing pipeline security, or working with GitHub Actions, GitLab CI, CircleCI, Azure DevOps, or Bitbucket Pipelines.
infrastructure-as-code
by acedergren
Use when writing Terraform for OCI, troubleshooting provider errors, managing state files, or implementing Resource Manager stacks. Covers terraform-provider-oci gotchas, resource lifecycle anti-patterns, state management mistakes, authentication issues, and OCI Landing Zones.
Deploying to Production
by littleben
Automates GitHub repository creation and Vercel deployment for Next.js websites. Use when deploying new websites, pushing to production, setting up CI/CD pipelines, or when the user mentions deployment, GitHub, Vercel, or going live.
devops-expert
by personamanagmentlayer
Expert-level DevOps practices, culture, automation, and continuous delivery
terraform-expert
by personamanagmentlayer
Expert-level Terraform infrastructure as code, modules, state management, and production best practices
azure-cost-governance
by markus41
Deep expertise in Azure Cost Management FinOps — cost queries, budget alerts, forecast, idle resource detection, usage details, scope hierarchy, dimension grouping, and savings recommendations via the Azure Cost Management and Consumption REST APIs.
Azure Service Bus
by markus41
Deep expertise in Azure Service Bus operations with deterministic runbooks, fail-fast context validation, and redacted output requirements.
azure-tenant-assessment
by markus41
Deep expertise in running an initial Azure tenant assessment - subscription inventory, resource catalog, security posture snapshot, cost overview, and plugin setup recommendations via ARM REST API and microsoft-azure-mcp tools. Acts as the entry point for any new Azure engagement, surveying the tenant and mapping discovered resource types to the right plugins.
Azure Functions
by markus41
Deep expertise in Azure Functions serverless compute — build HTTP APIs, event-driven processors, and orchestration workflows with triggers, bindings, Durable Functions, and Azure Functions Core Tools. Covers Consumption/Premium/Flex hosting plans, v4 Node.js/TypeScript programming model, cold start optimization, deployment pipelines, and Application Insights monitoring. Targets professional TypeScript developers building production serverless applications.
Azure Storage
by markus41
Deep expertise in Azure Storage services â manage Blob containers with block/append/page blobs, Queue Storage for asynchronous messaging, Table Storage for NoSQL key-value data, and Azure Files for SMB/NFS shares. Covers storage account provisioning, SAS token generation, managed identity access with RBAC, lifecycle management policies, static website hosting, Data Lake Storage Gen2 with hierarchical namespaces, and monitoring with Azure Monitor. Targets professional developers and cloud architects building production storage solutions.
Azure Networking
by markus41
Deep expertise in Azure networking — design and deploy Virtual Networks with subnets and peering, configure Network Security Groups and Application Security Groups, deploy Standard Load Balancers and Application Gateways, manage Azure Front Door for global traffic distribution, administer public and private DNS zones, set up VPN and ExpressRoute gateways, create Private Endpoints with DNS integration, and operate Azure Firewall for centralized network security. Targets cloud architects and infrastructure engineers building production Azure network topologies.
azure-ai-services
by markus41
Deep expertise in Azure AI workloads — provisioning and managing Azure OpenAI Service deployments, Azure AI Search indexes and skillsets, Azure AI Studio/Foundry projects, Cognitive Services endpoints, content filtering policies, quota management, and responsible AI governance via ARM REST API and service-specific data planes.
Agent Foundry
by markus41
Deep expertise in the Azure AI Foundry agent lifecycle — scaffold agent definitions, deploy to Azure AI Agent Service, manage threads and runs, configure built-in tools (code interpreter, file search, Azure AI Search, function calling), run quality and safety evaluations, and monitor agent health. Use this skill when a user asks to build an agent on Azure AI Foundry, create or deploy a Foundry agent, test an agent thread or run, configure agent tools, evaluate agent output quality, troubleshoot Azure AI Agent Service errors, or set up Service Principal authentication for AI Foundry.
universal-javascript-runtimes
by farming-labs
Explains universal JavaScript deployment, the UnJS ecosystem (Nitro, H3, unenv), WinterCG web standards, and cross-platform runtimes. Use when building apps that deploy anywhere, understanding server adapters, or working with edge functions and serverless platforms.
find-skills
by julianromli
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
coder-system-design-external-api
by OzeroHAX
Reliable and secure external API integration patterns for production-grade services.
deployment-procedures
by xenitV1
Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.
hcp-terraform
by thrashr888
HCP Terraform (Terraform Cloud) workflow for remote plan and apply. Use when working with Terraform that runs in Terraform Cloud, not locally.
citation-standards
by harshanandak
"Citation format rules for research outputs. Enforces consistent source attribution in docs/research/ files. Apply when writing research documents or referencing external sources."
analytics-measurement
by Soborbo
Analytics and conversion tracking for lead generation websites. Use when implementing GTM, GA4, or any measurement. Works with astro-architecture for GTM setup. No CRO mérés nélkül vakrepülés.
iac
by Tyler-R-Kendrick
Use when working with Infrastructure as Code tools and platforms. Covers Terraform, Pulumi, CloudFormation, Bicep, ARM, Kubernetes, Helm, Docker, Crossplane, and Dagger. USE FOR: choosing IaC tools, comparing Terraform vs Pulumi vs CloudFormation, infrastructure strategy DO NOT USE FOR: specific tool syntax (use the sub-skills: terraform, pulumi, bicep, etc.)
pulumi
by Tyler-R-Kendrick
Use when writing Pulumi programs for cloud infrastructure using TypeScript, Python, Go, or C#. Covers resource declarations, stacks, Outputs, component resources, and preview/up workflow. USE FOR: infrastructure in TypeScript/Python/Go/C#, imperative IaC, Pulumi stacks, component resources DO NOT USE FOR: declarative HCL-based IaC (use terraform), Azure-only Bicep DSL (use bicep), Kubernetes manifests (use kubernetes)
bicep
by Tyler-R-Kendrick
Use when writing Azure Bicep templates for infrastructure deployment. Covers resource declarations, modules, parameters, outputs, and deployment commands. USE FOR: Azure resource deployment, Bicep DSL modules, what-if previews, Azure-native IaC DO NOT USE FOR: AWS resources (use cloud-formation), multi-cloud infrastructure (use terraform or pulumi), raw ARM JSON (use arm)
terraform
by Tyler-R-Kendrick
Use when writing Terraform configurations for multi-cloud infrastructure. Covers HCL resources, modules, state management, providers, and plan/apply workflow. USE FOR: multi-cloud provisioning, HCL configuration, Terraform state management, provider modules, plan/apply workflow DO NOT USE FOR: imperative infrastructure code (use pulumi), Azure-only deployments (use bicep), AWS-only stacks (use cloud-formation)