「deploy」の検索結果

Generate deployment configuration files (Dockerfile, vercel.json, wrangler.toml, etc.) based on target type.

日本語の概要は準備中です。原文の説明を表示しています。

Deep knowledge about deploying applications to AWS (EC2, ECS, S3, CloudFront, Cloud Run).

日本語の概要は準備中です。原文の説明を表示しています。

Deep knowledge about deploying applications to Google Cloud Platform (Cloud Run, App Engine, Compute Engine).

日本語の概要は準備中です。原文の説明を表示しています。

Deep knowledge about deploying applications to Fly.io (MicroVMs, Docker).

日本語の概要は準備中です。原文の説明を表示しています。

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).

日本語の概要は準備中です。原文の説明を表示しています。

CI/CD caching optimizer for dependency caching, Docker layer caching, and build speed improvements. Activate on: CI cache, build speed, dependency caching, Docker layer cache, turbo remote cache, GitHub Actions cache, pnpm store cache. NOT for: CI/CD pipeline creation (use github-actions-pipeline-builder), deployment strategy (use blue-green-deployment-orchestrator), Docker image building (use docker-multi-stage-optimizer).

日本語の概要は準備中です。原文の説明を表示しています。

Plan and implement infrastructure, container, CI/CD, deployment-safety, observability, and rollback changes. Does not read dotenv files or approve/release deployments.

日本語の概要は準備中です。原文の説明を表示しています。

Deploy applications to Vercel with auto-detection and preview URLs

日本語の概要は準備中です。原文の説明を表示しています。

Publish a runnable prototype and return a shareable link. Prepares the prototype to run, starts/serves it (or deploys), and hands back a URL plus run instructions for review. Use when the user says "share the prototype", "give me a link", "publish this", "let the team see it", "deploy the preview", or is ready to circulate a prototype for feedback. Final stage of the Product Design set.

日本語の概要は準備中です。原文の説明を表示しています。

Stop AI agents from secretly bypassing your rules. Mechanical enforcement with git hooks, secret detection, deployment verification, and import registries. Born from real production incidents: server crashes, token leaks, code rewrites. Works with Claude Code, Clawdbot, Cursor. Install once, enforce forever.

日本語の概要は準備中です。原文の説明を表示しています。

Create and manage database migrations with reversible changes, proper naming conventions, and zero-downtime deployment strategies. Use this skill when creating database migration files, modifying schema, adding or removing tables/columns, managing indexes, or handling data migrations. Apply when working with migration files (e.g., db/migrate/, migrations/, alembic/, sequelize migrations), schema changes, database versioning, rollback implementations, or when you need to ensure backwards compatibility during deployments. Use for any task involving database structure changes, index creation, constraint modifications, or data transformation scripts.

日本語の概要は準備中です。原文の説明を表示しています。

AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.

日本語の概要は準備中です。原文の説明を表示しています。

배포. release 브랜치 main 반영, 빌드 검증, push 실행. .claude/skills/deploy 기준

日本語の概要は準備中です。原文の説明を表示しています。

Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.

日本語の概要は準備中です。原文の説明を表示しています。

Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure.

日本語の概要は準備中です。原文の説明を表示しています。

Review a planned deployment or release diff for rollback feasibility, mixed-version compatibility, migrations, and configuration readiness without deploying it.

日本語の概要は準備中です。原文の説明を表示しています。

deploy the Wasp app to Railway or Fly.io using Wasp CLI.

日本語の概要は準備中です。原文の説明を表示しています。

Skill for building with the Astro web framework. Helps create Astro components and pages, configure SSR adapters, set up content collections, deploy static sites, and manage project structure and CLI commands. Use when the user needs to work with Astro, mentions .astro files, asks about static site generation (SSG), islands architecture, content collections, or deploying an Astro project.

日本語の概要は準備中です。原文の説明を表示しています。

Deploy to a target environment after running pre-flight checks. Only invoke manually.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with AWS resources — ECS Fargate, ECR, EFS, Secrets Manager, gomplate templates, multi-env deployments — even when the user says 'deploy to staging' without naming AWS.

日本語の概要は準備中です。原文の説明を表示しています。

Re-audit code changes to identify side effects, regression risks, and unhandled edge cases before merging or deploying. Use after a change is complete and before merging to a shared branch, before deploying a hotfix, after complex multi-module refactoring, or when a previous review may have missed side effects in async, state-mutating, or security-sensitive code paths.

日本語の概要は準備中です。原文の説明を表示しています。

Gere documentação de arquitetura usando diagramas C4 model Mermaid. Use quando solicitado criar diagramas de arquitetura, documentar arquitetura de sistema, visualizar estrutura de software, criar diagramas C4, ou gerar diagramas de contexto/container/componente/deployment. Triggers incluem "diagrama de arquitetura", "diagrama C4", "contexto do sistema", "diagrama de container", "diagrama de componente", "diagrama de deployment", "documentar arquitetura", "visualizar arquitetura".

日本語の概要は準備中です。原文の説明を表示しています。

Executa inferência de LLM em CPU, Apple Silicon e GPUs consumer sem hardware NVIDIA. Use para edge deployment, Macs M1/M2/M3, GPUs AMD/Intel ou quando CUDA não está disponível. Suporta quantização GGUF (1,5-8 bits) para redução de memória e aceleração de 4-10× vs PyTorch em CPU.

日本語の概要は準備中です。原文の説明を表示しています。

Plataforma GPU serverless em nuvem para executar workloads de ML. Use quando você precisar de acesso GPU sob demanda sem gerenciamento de infraestrutura, fazendo deploy de modelos de ML como APIs, ou executando jobs em batch com auto-scaling.

日本語の概要は準備中です。原文の説明を表示しています。