SOLID Docker/Compose 防护准则：小型 Dockerfile，实际中尽可能使用非 root 用户，不在镜像中泄露机密，固定基础镜像标签，清晰的多阶段构建。编辑 Dockerfile 或 compose 文件时使用。
该技能提供了一组基于 SOLID 原则的 Docker 和 Docker Compose 防护准则，用于指导开发者创建安全、高效且可维护的容器化应用。它专注于强制执行最佳实践，例如生成精简的 Dockerfile、使用非 root 用户运行容器、防止在镜像构建层中嵌入机密信息、固定基础镜像标签以避免意外更新，以及推荐多阶段构建来缩小最终运行镜像的体积。该技能支持所有遵循 Dockerfile 或 Compose 规范的工具和平台，通过提供清晰的规则清单和检查表，帮助开发者编写更健壮、更安全的容器配置。其核心工作方式是在编辑 Docker 相关文件时，由 AI 代理引用此准则来验证和指导代码变更。
npx skills add https://github.com/Nutz95/CursorCodingSkills/tree/HEAD/skills/solid-dockerInstalled? Explore more 图像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
latest）.dockerignore 排除 .venv、data/、.git、本地配置文件This repo contains 3 individual skills — each has its own dedicated page.
>- SOLID Batch (.bat/.cmd) guardrails: thin wrappers around PowerShell/Python, setlocal, explicit errorlevel checks, no secrets. Use when editing Windows launchers or portable package entrypoints.
>- SOLID C++ / ESP32 firmware guardrails: file/class size, no nested classes, strict DI at composition roots, no UNIT_TEST / test ifdefs in production headers (and avoid them in .cpp), no hardcoded secrets, one type per public header, public API /// comments, dual-core radio pinning (PRO_CPU 0 / APP_CPU 1), FreeRTOS-safe patterns. Use when editing ESP-IDF, Arduino-ESP32, PlatformIO firmware, or ESP-NOW / BLE / Wi-Fi tasks.
>- SOLID CUDA 13 / GPU pipeline guardrails for Python+CUDA apps (e.g. NVDEC): concrete typing at boundaries, small modules, explicit device/resource lifetimes, no silent Any leakage. Use when editing CUDA 13, PyNvCodec, GPU decode/inference code.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.