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Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.

Use when building a production-ready REST API from requirements through deployment. Orchestrates 8-12 specialist agents across 5 phases using Test-Driven Development methodology. Covers planning, architecture, TDD implementation, comprehensive testing, documentation, and blue-green deployment over a 2-week timeline with emphasis on quality and reliability.

Building and deploying React web applications. Use when configuring builds, deploying to Vercel/Netlify, setting up CI/CD, Docker, or managing environments.

Implement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.

Configure deployment settings for /land-and-deploy. Detects your deploy platform (Fly.io, Render, Vercel, Netlify, Heroku, GitHub Actions, custom), production URL, health check endpoints, and deploy status commands. Writes the configuration to CLAUDE.md so all future deploys are automatic. Use when: "setup deploy", "configure deployment", "set up land-and-deploy", "how do I deploy with gstack", "a

Comprehensive Docker containerization workflow covering multi-stage builds, docker-compose orchestration, image optimization, debugging, and production best practices. Use when containerizing applications, setting up development environments, or deploying with Docker.

Este guia detalha a implantação de agentes AgenticX em produção, abordando conteinerização Docker, orquestração Kubernetes, implantação em nuvem com Volcengine AgentKit e configuração de servidor API. É ideal para quem busca implantar agentes, conteinerizar aplicações ou gerenciar o servidor API AgenticX em ambientes de produção.

Padrões genéricos de Implantação Cloud-Native e Infraestrutura como Código para 2025. Oferece estratégias de implementação abrangentes para implantações multi-cloud, fluxos de trabalho GitOps, entrega progressiva e engenharia de plataforma, com uma abordagem agnóstica a frameworks que suporta qualquer provedor de nuvem, ferramenta de implantação e plataforma de orquestração.

Crie DAGs de produção do Apache Airflow com as melhores práticas para operadores, sensores, testes e implantação. Utilize ao desenvolver pipelines de dados, orquestrar fluxos de trabalho ou agendar tarefas em lote.

Progressive delivery on Kubernetes — canary and blue-green deployments via Argo Rollouts, plus environment-to-environment promotion via Kargo. USE WHEN implementing canary releases, blue-green deployments, traffic shifting between revisions, metric-gated promotions, AnalysisTemplate/AnalysisRun design, Argo Rollouts CRDs, or Kargo freight/warehouse/stage promotion pipelines, multi-stage promotion

Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.

Use when users ask how to write, explain, customize, migrate, secure, or troubleshoot GitHub Actions workflows, workflow syntax, triggers, matrices, runners, reusable workflows, artifacts, caching, secrets, OIDC, deployments, custom actions, or Actions Runner Controller, especially when they need official GitHub documentation, exact links, or docs-grounded YAML guidance.