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Found 1,974 Skills
This skill should be used when the user asks to "build an MCP server", "create an MCP", "make an MCP integration", "wrap an API for Claude", "expose tools to Claude", "make an MCP app", or discusses building something with the Model Context Protocol. It is the entry point for MCP server development — it interrogates the user about their use case, determines the right deployment model (remote HTTP, MCPB, local stdio), picks a tool-design pattern, and hands off to specialized skills.
Use KWC CLI (kd) to translate user requirements into deliverable KWC projects, components, page metadata, environment configurations, deployment and debugging results. This Skill is used when an Agent needs to initialize or extend a KWC project via scaffolding, split functions into KWC components, create or update *.page-meta.kwp, configure kd env, deploy metadata to the target environment, or guide the full process from requirements to KWC page rendering.
Expert knowledge for Azure Static Web Apps development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when wiring SWA APIs to Azure DBs, configuring custom domains/auth, CI/CD, preview slots, or Front Door/CDN, and other Azure Static Web Apps related development tasks. Not for Azure App Service (use azure-app-service), Azure Functions (use azure-functions), Azure Container Apps (use azure-container-apps), Azure Kubernetes Service (AKS) (use azure-kubernetes-service).
Clarity pre-deployment validation — syntax checking, deprecated keyword detection, sender check analysis, error propagation review, and test verification.
CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot classification, computing image embeddings, or deploying CLIP to ONNX/TensorRT.
Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.
Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.
Helm chart development patterns for packaging and deploying Kubernetes applications. Use when creating reusable Helm charts, managing multi-environment deployments, or building application catalogs for Kubernetes.
Next.js environment variable management with file precedence, variable types, and deployment configurations. Use when configuring Next.js applications, managing environment-specific settings, or deploying to Vercel/Railway/Heroku.
Creates and validates Azure Resource Manager (ARM) templates for infrastructure deployment. Use when creating ARM templates, deploying Azure infrastructure as code, or validating Azure templates.
Operational patterns, templates, and decision rules for time series forecasting (modern best practices): tree-based methods (LightGBM), deep learning (Transformers, RNNs), future-guided learning, temporal validation, feature engineering, generative TS (Chronos), and production deployment. Emphasizes explainability, long-term dependency handling, and adaptive forecasting.
Develops SAP Fiori applications using SAP Fiori tools extensions for VS Code and SAP Business Application Studio. Use when: generating Fiori Elements or Freestyle SAPUI5 applications, configuring Page Editor for List Report or Object Page, working with annotations and Service Modeler, setting up deployment to ABAP or Cloud Foundry, creating adaptation projects, using Guided Development, previewing with mock data or live data, configuring SAP Fiori launchpad, or using AI-powered generation with Project Accelerator/Joule. Technologies: SAP Fiori Elements, SAPUI5, OData V2/V4, CAP, SAP BTP, ABAP, Cloud Foundry.