How does 'sayt integrate' help with debugging failed tests?

When an integration test fails, the skill ensures containers are left running so you can inspect logs and the environment state before manually tearing them down.

Why does this skill emphasize multi-stage Dockerfiles?

Multi-stage builds allow you to separate your development environment (debug stage) from your test environment (integrate stage), ensuring faster builds and smaller, more secure images.

Does this skill support Apple Silicon (M1/M2) and Intel chips?

Yes, the skill explicitly recommends official multi-platform images and version pinning to ensure that builds work reliably on both arm64 and amd64 architectures.

What is the 'sayt' convention for Docker Compose?

It expects two primary services in your compose.yaml: 'launch' for active development with hot-reloading, and 'integrate' for running isolated automated test suites.

Docker & Compose Orchestrator

Name: Docker & Compose Orchestrator
Author: bonisoft3

bybonisoft3

•

배포 및 DevOps

Standardizes Dockerfile and Docker Compose configurations for seamless development environments and automated integration testing.

The Sayt CNT skill provides a standardized framework for containerizing projects using specialized Docker conventions. It guides users in creating multi-stage Dockerfiles featuring dedicated 'debug' and 'integrate' targets, ensuring environment parity between local development and CI/CD. By offering optimized templates for over ten programming languages, it enforces best practices such as official image pinning, efficient layer caching, and Docker-in-Docker (dind) compatibility, making it easier to launch dev environments or run complex integration tests with a single command.

주요 기능

01Persistent container states on test failure for easier debugging

02Optimized multi-stage Dockerfile patterns for Node, Python, Java, and more

03Standardized launch and integrate service conventions for Docker Compose

04Automated Docker-in-Docker (dind) environment and socat proxy setup

05Best practice guidance for official multi-platform image selection

061 GitHub stars

사용 사례

01Automating isolated integration tests that run consistently across different machines

02Standardizing containerization across a polyglot monorepo with multiple services

03Setting up a hot-reloading development environment within a Docker container

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bonisoft3/iris cnt

For use in Claude.ai and ChatGPT

Download Skill