netlify
Netlify web deployment with serverless functions. Use for static hosting.
Works with
--- name: netlify description: Netlify web deployment with serverless functions. Use for static hosting. license: MIT --- # Netlify Netlify pioneered the Jamstack. In 2025, it focuses on "Platform Primitives" – giving frameworks low-level control over caching, image optimization, and routing. ## When to Use - **Static Sites**: Gatsby, Hugo, Astro. Best-in-class CDN. - **Framework Agnostic**: Great support for Remix, Nuxt, SvelteKit, not just Next.js. - **Netlify Create**: Visual editor integration for CMS-driven sites. ## Quick Start ```bash npm i -g netlify-cli # Run local dev environment (simulates Lambda/Edge) netlify dev # Deploy netlify deploy --prod ``` ## Core Concepts ### Deploy Previews Every Pull Request gets a URL. It stays alive forever (immutable). ### Netlify Drawer Collaboration tool overlay on preview builds. ### Edge Functions (Deno) Run logic at the edge using Deno. Good for A/B testing, Geolocation, Auth middleware. ## Best Practices (2025) **Do**: - **Use `netlify.toml`**: configure redirects, headers, and build settings as code. - **Use Netlify Image CDN**: Automatic format optimization (AVIF/WebP). - **Use Blob Storage**: For large assets / user uploads. **Don't**: - **Don't hardcode redirects in JS**: Use `_headers` or `_redirects` files for CDN-level performance. ## References - [Netlify Documentation](https://docs.netlify.com/)
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Use when deploying an existing web application or API to an already-running Azure Kubernetes Service cluster. Detects the framework, generates a Dockerfile and Kubernetes manifests, validates against AKS Deployment Safeguards, and deploys with verification. WHEN: deploy app to AKS, deploy to existing AKS cluster, containerize app for Kubernetes, generate K8s manifests for Azure, set up CI/CD for AKS, my AKS deployment is failing safeguard checks, I have a Django/Express/Spring Boot app to run on AKS. DO NOT USE FOR: creating or provisioning an AKS cluster (use azure-kubernetes), assessing migration to AKS Automatic (use azure-kubernetes-automatic-readiness), or deploying to non-AKS targets like Web Apps, Container Apps, or Functions.
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microsoft/azure-skills
Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).
