技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: dockerfile

英文目录

Dockerfile best-practices for writing production-worthy Docker images.

4.1K
Stars
65/100
信任
分类: devops审计

Dockerfile linter, validate inline bash, written in Haskell

12K
Stars
76/100
信任
分类: development审计

Super simple build framework with fast, repeatable builds and an instantly familiar syntax – like Dockerfile and Makefile had a baby.

12K
Stars
83/100
信任
分类: devops审计

CI/CD pipeline configuration using GitHub Actions for Golang projects — testing, linting, SAST, security scanning, code coverage, Dependabot, Renovate, GoReleaser, code review automation, and release pipelines. Use when setting up or improving Go project CI, configuring GitHub Actions workflows, adding linters or security scanners, automating dependency updates, or adding quality gates.

3.0K
Stars
67/100
信任
分类: security审计

Official Dockerfile for Apache Spark

169
Stars
66/100
信任
分类: data-analysis审计

Where things live in the portal-tunnel repo (sdk/portal/types/utils/cmd/discovery/x402/frontend/extensions) and where new code belongs. Use when locating functionality or deciding where to add code.

263
Stars
69/100
信任
分类: coding-agents审计

Build, lint, test, and verification workflow for the portal-tunnel Go+frontend monorepo. Use when setting up the repo, running CI-equivalent checks, or before committing changes.

263
Stars
69/100
信任
分类: design-creative审计

Full environment-variable / flag reference for configuring the portal-tunnel relay-server (cmd/relay-server), plus how config is embedded and how Docker/Compose deploys it. Use when configuring, deploying, or debugging a relay.

263
Stars
65/100
信任
分类: coding-agents审计

Kubernetes Security Checklist and Requirements - All in One (authentication, authorization, logging, secrets, configuration, network, workloads, dockerfile)

489
Stars
58/100
信任
分类: devops审计

Guide the user through containerizing and serving a simple website or documentation folder with Docker — inspects the project to detect what to serve (ready-to-serve static HTML, a buildable site that emits static output, or a raw markdown/docs folder that needs rendering), generates a Dockerfile, .dockerignore, docker-compose.yml, helper run/build commands, and a 'Running with Docker' README section, then offers to build and smoke-test the container and publish the image to Docker Hub or GHCR. Uses nginx:alpine for static content and a multi-stage build when the site must be generated. Only invoke when the user explicitly types /ai-assist-dockerize-website. Never auto-trigger from general conversation about Docker, containers, websites, or Dockerfiles.

88
Stars
61/100
信任
分类: research审计

GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.

369
Stars
61/100
信任
分类: media-automation审计