Explorar skills

Detect project stack and generate production-ready multi-stage Dockerfiles with compose services, .dockerignore, non-root users, health checks, layer caching, and optional dev hot-reload profiles

Activates the DevOps-Commander agent for infrastructure, CI/CD, and cloud operations. Use when you need GitHub Actions or GitLab CI pipeline design, Dockerfile and docker-compose configuration, Kubernetes deployment manifests, Terraform/Pulumi infrastructure as code, Prometheus + Grafana monitoring setup, or incident response runbooks. Outputs complete, production-ready configuration files.

Ship an app from code to production-ready infrastructure: containerize with Docker and multi-stage builds, set up GitHub Actions CI/CD with automated testing and deployment, add monitoring with health checks and alerting, then run preflight verification. Use when deploying a new service, adding DevOps to an existing project, or setting up a complete CI/CD pipeline from scratch.

Extracts a reusable project template from a mature project — captures architecture, pipeline, conventions, CI/CD, Docker, testing, linting, and pitfalls into a portable template. Trigger: extract template, save as template, capture conventions, reusable template, templatize project, snapshot conventions.

Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.

Monitor and maintain CI runner health — check disk space, clear stale caches (Flutter, Gradle, npm, Docker), prune old worktrees, and report status. Prevents cache corruption failures.

Detect project stack and generate GitHub Actions CI/CD workflows — PR checks with lint/test/build/security, deploy pipelines for Vercel/AWS/GCP/Fly/Docker, dependency caching, matrix testing, preview deploys, and Dependabot config

Use para implantar ou operar aplicações com Jig, cobrindo desde a inicialização do servidor e conexão da CLI até a preparação e implantação de apps, e o gerenciamento de comportamentos específicos para Docker standalone, Docker Compose, Swarm single-service e Swarm stack, sem explorar os detalhes internos do Jig.

Use Langtrace for DSPy observability and tracing. Use when you want to set up Langtrace, langtrace-python-sdk, auto-instrument DSPy, trace DSPy calls, LLM observability, app.langtrace.ai, or self-hosted tracing. Also used for langtrace setup, langtrace API key, pip install langtrace-python-sdk, DSPy tracing, auto-instrument DSPy, langtrace self-hosted, langtrace docker, trace LM calls, langtrace v

ACTIVATE when integrating a new service, API, SaaS tool, SDK, npm/pip/maven package, Docker image, or any third-party dependency — or when discussing suppliers, vendors, processor agreements, or supply chain security. Also activate on imports from unknown packages or adding external webhooks/endpoints. Ensures every new vendor or dependency is assessed against the org's critical assets, data resid

Use when creating, editing, or reviewing TYPO3 extension documentation (Documentation/*.rst, guides.xml, README.md, XLF translations), rendering docs with Docker, using TYPO3 RST directives, adding screenshots, deploying to docs.typo3.org, improve docs, fix documentation, or XLIFF 2-space indentation (TYPO3 v14+).

Put your AI behind an API. Use when you need to serve AI features as web endpoints, add AI to an existing backend, deploy AI for other services to call, wrap a DSPy program in REST or HTTP, build an AI microservice, or put a language model behind FastAPI or Flask. Also use for deploy AI model to production, AI REST API, serve DSPy program over HTTP, Docker AI service, AI endpoint for mobile app, h