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Found 1,984 Skills
Best practices for Capacitor app development including project structure, plugin usage, performance optimization, security, and deployment. Use this skill when reviewing Capacitor code, setting up new projects, or optimizing existing apps.
Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python
Next.js framework expert specializing in App Router, Server Components, performance optimization, data fetching patterns, and full-stack development. Use this skill for Next.js routing issues, hydration errors, build problems, or deployment challenges.
Comprehensive skill for SAP Cloud Transport Management service on SAP BTP. Use when setting up transport landscapes, configuring transport nodes and routes, managing import queues, deploying MTAs across Cloud Foundry environments, integrating with CI/CD pipelines, configuring ABAP environment transports, troubleshooting deployment errors, or implementing change management workflows. Covers entitlements, subscriptions, role collections, service instances, destinations, and API integrations.
Deploy Airflow DAGs and projects. Use when the user wants to deploy code, push DAGs, set up CI/CD, deploy to production, or asks about deployment strategies for Airflow.
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 this skill when deploying ML models to production, setting up model monitoring, implementing A/B testing for models, or managing feature stores. Triggers on model deployment, model serving, ML pipelines, feature engineering, model versioning, data drift detection, model registry, experiment tracking, and any task requiring machine learning operations infrastructure.
Manage and secure company devices with MDM solutions — enroll macOS, Windows, iOS, and Android devices, enforce security policies, and automate software deployment. Use when setting up device management for a growing team.
Use when building NuxtHub v0.10.6 applications - provides database (Drizzle ORM with sqlite/postgresql/mysql), KV storage, blob storage, and cache APIs. Covers configuration, schema definition, migrations, multi-cloud deployment (Cloudflare, Vercel), and the new hub:db, hub:kv, hub:blob virtual module imports.
Design and implement GitLab CI/CD pipelines with stages, jobs, artifacts, and caching. Configure runners, Docker integration, and deployment strategies.
Implement feature flags (toggles) for controlled feature rollouts, A/B testing, canary deployments, and kill switches. Use when deploying new features gradually, testing in production, or managing feature lifecycles.
Orchestrate end-to-end backend feature development from requirements to deployment. Use when coordinating multi-phase feature delivery across teams and services.