Loading...
Loading...
Found 1,319 Skills
Docker and Kubernetes patterns. Triggers on: Dockerfile, docker-compose, kubernetes, k8s, helm, pod, deployment, service, ingress, container, image.
Convert HuggingFace transformer models to ONNX format for browser inference with Transformers.js and WebGPU. Use when given a HuggingFace model link to convert to ONNX, when setting up optimum-cli for ONNX export, when quantizing models (fp16, q8, q4) for web deployment, when configuring Transformers.js with WebGPU acceleration, or when troubleshooting ONNX conversion errors. Triggers on mentions of ONNX conversion, Transformers.js, WebGPU inference, optimum export, model quantization for browser, or running ML models in the browser.
Use when "deploying ML models", "MLOps", "model serving", "feature stores", "model monitoring", or asking about "PyTorch deployment", "TensorFlow production", "RAG systems", "LLM integration", "ML infrastructure"
Safe database schema migrations using the expand-and-contract pattern with Prisma ORM. Use when renaming columns/tables, changing column types, adding non-nullable columns, or any schema change requiring zero-downtime deployment.
Skill for defining terminology and data structures used throughout the project. Covers domain terminology, entities, relationships, and schema design. Use proactively when starting a new project or when data structures are unclear. Triggers: schema, terminology, data model, entity, 스키마, 用語, データモデル, 数据模型, esquema, terminología, modelo de datos, schéma, terminologie, modèle de données, Schema, Terminologie, Datenmodell, schema, terminologia, modello dati Do NOT use for: UI-only changes, deployment, or when schema is already defined.
Professional DevOps engineering skill for creating CI/CD pipelines, implementing infrastructure as code, managing environments, and establishing monitoring and observability across all deployment stages.
Deploy projects to Vercel, Railway, or Docker with platform-specific best practices. Use when deploying applications, configuring deployment settings, debugging deployment failures, or setting up CI/CD pipelines. Triggers on "deploy to vercel", "railway deployment", "docker build", "deployment failed", "configure vercel.json".
Evaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks. Use when testing prompt quality, validating RAG pipelines, measuring safety (hallucinations, bias), or comparing models for production deployment.
Expert DevOps engineer for CI/CD, IaC, Kubernetes, and deployment automation. Activate on: CI/CD, GitHub Actions, Terraform, Docker, Kubernetes, Helm, ArgoCD, GitOps, deployment pipeline, infrastructure as code, container orchestration. NOT for: application code (use language skills), database schema (use data-pipeline-engineer), API design (use api-architect).
Production readiness checklist for Gamma integration. Use when preparing to deploy Gamma integration to production, or auditing existing production setup. Trigger with phrases like "gamma production", "gamma prod ready", "gamma go live", "gamma deployment checklist", "gamma launch".
Develop, test, build, and deploy Godot 4.x games. Use when working with Godot Engine, GDScript, GdUnit4 testing, PlayGodot automation, or exporting games to web/desktop. Covers CI/CD pipelines and deployment to Vercel/GitHub Pages/itch.io.
Build production-ready MCP servers using FastMCP v3. Guides research, scaffolding, tool/resource/prompt implementation, testing, and deployment. Targets FastMCP 3.0.0rc2 with Providers, Transforms, middleware, OAuth, and composition. Use when creating MCP servers, integrating APIs via MCP, converting OpenAPI specs or FastAPI apps, or troubleshooting FastMCP issues. NOT for building REST APIs, CLI tools, or non-MCP integrations.