Results for “template-deployment”

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.

Convert per-page styled HTML prototypes into Edge Delivery Services blocks and content pages, then deploy via DA.

Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services.

Provides deployment strategies, CI/CD pipeline patterns, Docker containerization best practices, health checks, and production readiness guidance for web applications.

Packages and deploys Kubernetes applications with Helm, including charts, templates, and releases.

Deploy the project to a target environment (defaults to staging) with deployment history tracking.

Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms. Use when the user requests model deployment or provides relevant inputs for this workflow.

Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check deployment status, verify serving endpoints, or clean up resources by undeploying models and deleting endpoints.

Deploy a site — local preview, pre-flight checks, or production push. Defaults to Hostinger git auto-deploy (push to main triggers Hostinger pull) with FTP fallback for non-Hostinger sites.

Sync Claude Code assets between a project and its project-template buffer, with subcommands for status, diff, pull, promote, trial, and sync-from-buffer. Promotion is always opt-in and never automatic.

Scaffolds a new project from a saved template, creating CLAUDE.md, initial memory, and validating foundation requirements.

Configure deployment settings for /land-and-deploy.

Configure deployment settings for /land-and-deploy. Detects your deploy platform (Fly.io, Render, Vercel, Netlify, Heroku, GitHub Actions, custom), production URL, health check endpoints, and deploy status commands. Writes the configuration to CLAUDE.md so all future deploys are automatic. Use when: "setup deploy", "configure deployment", "set up land-and-deploy", "how do I deploy with gstack", "add deploy config".

Deploy and serve LLMs in production with vLLM, Ollama, TGI, and llama.cpp, including quantization and GPU optimization.

Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.

Automates security scanning for Infrastructure as Code templates using Checkov, tfsec, and KICS to detect misconfigurations before deployment.

Template do pack (ai-ml/03-rag-pipeline.md). Orienta o agente em integracao de IA/ML, LLM e pipelines de dados alinhado a esse contexto.

Weline_Deploy：随机 Webhook 路径（~wh~）、ModuleRouter、webhook_secret、 deploy:webhook:setup、deploy:release、WLS+Nginx。

Search and deploy services from Railway's template marketplace. Use when user wants to add a service from a template, find templates for a specific use case, or deploy tools like Ghost, Strapi, n8n, Minio, Uptime Kuma, etc. For databases (Postgres, Redis, MySQL, MongoDB), prefer the railway-database skill.

Build, preview, and deploy websites, web apps, and APIs using Vercel, Railway, GitHub Pages, or local Canvas environments. Use when a user needs general web deployment guidance across common hosting targets.

Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the link", or "Push this live". No authentication required - returns preview URL and claimable deployment link.

Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates for deployment automation, GitOps, and incident response.

Provides expert guidance for using n8n-mcp MCP server tools to build, validate, and manage n8n workflows efficiently.

Investigate production incidents using CloudWatch Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and PromQL-style metric query patterns.

Expert knowledge for Azure IoT Central development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing device templates, data export, IoT Edge gateways, REST/CLI automation, or IoT Central–to–IoT Hub migrations, and other Azure IoT Central related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Edge (use azure-iot-edge), Azure IoT Operations (use azure-iot-operations), Azure Digital Twins (use azure-digital-twins).