azure-app-service
Deploy and manage web apps using Azure App Service with auto-scaling, deployment slots, SSL/TLS, and monitoring. Use for hosting web applications on Azure.
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-15 00:40
Deployment & operations
5,732 results
vercel-deployment
Expert knowledge for deploying to Vercel with Next.js Use when: vercel, deploy, deployment, hosting, production.
devops-troubleshooter
The introduction is being prepared. Please check back soon.
mlflow
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML…
blue-green-deployment
Implement blue-green deployment strategies for zero-downtime releases with instant rollback capability and traffic switching between environments.
cli-anything-rms
Teltonika RMS device management and monitoring CLI
deploy-chalk-function
How to deploy a chalk function ("chalkcompute.function"). Useful for deploying a stand-alone python function in Chalk's container infrastructure. Use when…
monitoring-terminal-errors
The introduction is being prepared. Please check back soon.
dependency-audit
Dependency audit and cleanup workflow for maintaining healthy project dependencies. Use for regular maintenance, security updates, and removing unused packages.
windows-server
Administer Windows Server systems. Manage IIS, Active Directory, and PowerShell automation. Use when administering Windows infrastructure.
workflow-automation
Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost…
canary-deployment
Implement canary deployment strategies to gradually roll out new versions to subset of users with automatic rollback based on metrics.
synthetic-monitoring
Implement synthetic monitoring and automated testing to simulate user behavior and detect issues before users. Use when creating end-to-end test scenarios,…
Model Deployment
Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks
Model Monitoring
Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow
azure-functions
Create serverless functions on Azure with triggers, bindings, authentication, and monitoring. Use for event-driven computing without managing infrastructure.
wa-review
Perform a full AWS Well-Architected Framework review evaluating all 57 questions across 6 pillars by analyzing code, IaC, and configurations to produce…
troubleshoot-ssi
Diagnose and fix Single Step Instrumentation (SSI) issues on Kubernetes — SSI automatically instruments applications for APM without code changes. Only use if…
huawei-cloud-ascend-models-deploy
Huawei Cloud Ascend model deployment and testing skill for large language models on Ascend DevServer (910B series). Supports single-machine and dual-machine…
app-store-deployment
The introduction is being prepared. Please check back soon.
digitalocean-compute
DigitalOcean compute services covering Droplets, App Platform, Functions, Kubernetes (DOKS), GPU Droplets, and Bare Metal GPUs. Use when selecting or…
cloudflare-d1
Build with D1 serverless SQLite database on Cloudflare's edge. Use when: creating databases, writing SQL migrations, querying D1 from Workers, handling…
fusion-roles-cli
Deploy and manage Fusion Roles V2 configuration using the fusion-roles-cli (froles). USE FOR: deploy role config from a JSON file, create…
secrets-audit
Find leaked secrets in source code, Git history, build artifacts, and infrastructure — and audit the secrets-management posture preventing future leaks. Use…