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Found 1,182 Skills
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
Machine learning development patterns, model training, evaluation, and deployment. Use when building ML pipelines, training models, feature engineering, model evaluation, or deploying ML systems to production.
Receive and verify Vercel webhooks. Use when setting up Vercel webhook handlers, debugging signature verification, or handling deployment events like deployment.created, deployment.succeeded, or project.created.
Check deployments, manage sites, monitor forms, and view analytics on Netlify
Safe database migration strategies for zero-downtime deployments. Covers backward-compatible changes, data migrations, and rollback procedures.
Framework integration for Cloudflare Workers. Use when building with Hono, Remix, Next.js, Astro, SvelteKit, Qwik, or Nuxt on Workers. Covers routing, SSR, static assets, and edge deployment.
Scale Slot deployments with paid tiers, replicas, and multi-region support.
Deploy Dojo worlds to local Katana, testnet, or mainnet. Configure Katana sequencer and manage deployments with sozo. Use when deploying your game or starting local development environment.
Create, update, and manage Slot deployments for Katana and Torii services.
Configure Databricks CI/CD integration with GitHub Actions and Asset Bundles. Use when setting up automated testing, configuring CI pipelines, or integrating Databricks deployments into your build process. Trigger with phrases like "databricks CI", "databricks GitHub Actions", "databricks automated tests", "CI databricks", "databricks pipeline".
Google Cloud Platform CLI (gcloud, gcloud storage, bq). Use when: managing GCP resources, deploying to Cloud Run/Cloud Functions/GKE/App Engine, working with Cloud Storage, BigQuery, IAM, Compute Engine, Cloud SQL, Pub/Sub, Secret Manager, Artifact Registry, Cloud Build, Cloud Scheduler, Cloud Tasks, Vertex AI, VPC/networking, DNS, logging/monitoring, or any GCP service. Also covers: authentication, project/config management, CI/CD integration, serverless deployments, container registry, docker push to GCP, managing secrets, Workload Identity Federation, and infrastructure automation.
Use when creating Helm charts, packaging Kubernetes applications, managing multi-environment deployments, or asking about "Helm", "Helm chart", "values.yaml", "chart templating", "Helm dependencies"