ontology-enrich
In-place validation, enrichment, and maintenance of existing ontology files with OWL2 compliance and Perplexity API integration
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In-place validation, enrichment, and maintenance of existing ontology files with OWL2 compliance and Perplexity API integration
Electronic circuit simulation and SPICE analysis via ngspice MCP tool
A comprehensive guide for using Testcontainers for Go to write reliable integration tests with Docker containers in Go projects. Supports 62+ pre-configured modules for databases, message queues, cloud services, and more.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Debug web pages directly in Chrome using DevTools capabilities via MCP
Desplegar aplicaciones Shiny en shinyapps.io, Posit Connect o contenedores Docker. Cubre la configuración de rsconnect, generación de manifiestos, creación de Dockerfiles y verificación del despliegue. Úsalo al publicar una app Shiny para usuarios externos o internos, al pasar del desarrollo local a un entorno alojado, al containerizar una app Shiny para despliegue en Kubernetes o Docker, o al configurar pipelines de despliegue automatizados.
Desplegar ShinyProxy para alojar múltiples aplicaciones Shiny containerizadas. Cubre el despliegue de ShinyProxy con Docker, configuración de application.yml, imágenes Docker de apps Shiny, autenticación, backends de contenedores, seguimiento de uso y escalado. Úsalo al alojar múltiples apps Shiny detrás de un único punto de entrada, al necesitar autenticación y control de acceso por app, al desplegar apps Shiny como contenedores Docker aislados, o al escalar más allá del despliegue de app única con analíticas de uso y registro de auditoría.
Shinyアプリケーションをshinyapps.io、Posit Connect、またはDockerコンテナに デプロイします。rsconnectの設定、マニフェストの生成、Dockerfileの作成、 デプロイメントの検証を扱います。外部または内部ユーザー向けにShinyアプリを 公開するとき、ローカル開発からホスト環境に移行するとき、KubernetesまたはDocker デプロイメント用にShinyアプリをコンテナ化するとき、または自動デプロイメント パイプラインをセットアップするときに使用します。
Start the Linear Clone demo dev server (Docker Compose with PostgreSQL) to test changes or validate features locally.
Zero-shot deployment of ANY containerized application to local Kubernetes using Minikube. Use when Claude needs to: (1) Deploy any project to Minikube without prior setup, (2) Auto-detect services from Dockerfiles or docker-compose.yml, (3) Generate Helm charts dynamically for detected services, (4) Build and deploy multiple services automatically, (5) Enable optional Dapr for event-driven architecture, (6) Migrate any docker-compose project to Kubernetes. Works with monorepos, single apps, any number of services. Cross-platform (Linux, macOS, Windows). Triggers: 'deploy to minikube', 'run on kubernetes locally', 'local k8s', 'minikube deployment'.
Install MMT-Probe and its dependencies from source, packages, or Docker
Manage the homelab monitoring stack at ~/docker/stacks/monitoring/. Services: Prometheus, Grafana, Alertmanager (Telegram via DeLoNETBot), cadvisor, node-exporter, process-exporter, Loki, OTEL collector, Dockge, Uptime Kuma, health-monitor. Use when: (1) adding, editing, or debugging Prometheus alert rules, (2) managing or restarting monitoring services, (3) checking alert delivery or Telegram bot status, (4) diagnosing system performance issues (CPU hogs, memory bloat, swap pressure), (5) adding new scrape targets to Prometheus, (6) configuring Grafana dashboards or datasources, (7) any task referencing "monitoring", "alerts", "prometheus", "grafana", "cadvisor", "process-exporter", "alertmanager", "telegram alerts", or "DeLoNETBot".
Build enterprise-grade Odoo 19 ERP using OCA community modules instead of Enterprise licenses. Scaffold modules, vendor OCA dependencies, generate production Docker deployments, and deploy to DigitalOcean with Supabase - saving $4,728/year in licensing costs.
WHEN to auto-invoke: Creating CI/CD pipelines, GitHub Actions workflows, Docker/containerization, Vercel/Netlify deployment, infrastructure as code, environment variables, deployment configurations. WHEN NOT to invoke: Application code changes, UI development, database schema design, testing application logic.
Add a new Docker Compose service with automatic DNS configuration (OVH) and SSL certificates. Use when adding new web services to the homelab infrastructure.
Creates Docker configurations and compose files. Use when containerizing apps, setting up Docker dev environment, writing Dockerfile/compose.yaml, or building multi-stage images.
Complete fal.ai serverless deployment system. PROACTIVELY activate for: (1) Creating fal.App class, (2) GPU machine selection (T4/A10G/A100/H100), (3) setup() for model loading, (4) @fal.endpoint decorators, (5) Persistent volumes for weights, (6) Secrets management, (7) Scaling configuration (min/max concurrency), (8) Multi-GPU deployment, (9) fal deploy commands, (10) Local development with fal run. Provides: App structure, Dockerfile patterns, deployment commands, scaling config. Ensures production-ready serverless ML deployment.
Docker Compose production patterns 2025 including multi-environment strategies, health checks, and modern compose features