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Nx (터미널 스킬/스킬)

Nx를 사용하여 모노레포를 구축하고 관리합니다. 사용자가 모노레포 설정, 여러 패키지/앱 관리, 빌드 캐싱, 영향을 받은 테스트 실행, 또는 Lerna에서 마이그레이션을 요청할 때 사용합니다.

스킬)란 무엇인가요?

이 스킬은 Nx 빌드 시스템을 활용하여 모노레포(Monorepo)를 구축하고 관리하는 방법을 제공합니다. Nx는 로컬 및 원격 계산 캐싱, 작업 오케스트레이션, 의존성 그래프, 코드 생성기, 그리고 영향을 받은 명령어(Affected Commands)를 지원합니다. React, Angular, Node.js, Next.js 등 다양한 프레임워크와 언어와 함께 사용할 수 있습니다. 사용자는 'create-nx-workspace' 명령어로 작업 공간을 생성하고, Nx Generator를 통해 프로젝트를 추가한 후 'nx serve', 'nx build', 'nx test' 등의 명령어로 작업을 실행할 수 있습니다. 'nx affected' 명령어를 CI에서 사용하면 변경된 부분만 빌드하거나 테스트하여 효율성을 높일 수 있으며, Nx Cloud를 통해 팀 간에 캐시를 공유하여 빌드 시간을 더욱 단축할 수 있습니다. 'nx.json' 파일을 통해 대상 기본값과 캐싱 정책을 구성할 수 있습니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/TerminalSkills/skills/tree/HEAD/skills/nx

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

Nx

개요

Nx는 모노레포(monorepo)를 위한 빌드 시스템입니다. 계산 캐싱(로컬 + 원격), 작업 오케스트레이션, 의존성 그래프, 코드 생성기, 영향을 받은 명령어(affected commands)를 제공합니다. React, Angular, Node.js, Next.js 등 모든 언어와 함께 작동합니다.

지침

1단계: 워크스페이스 생성

npx create-nx-workspace@latest my-org --preset=ts
cd my-org

2단계: 프로젝트 추가

nx g @nx/react:app my-app
nx g @nx/js:lib shared-utils
nx g @nx/node:app api

3단계: 작업 실행

nx serve my-app
nx build api
nx test shared-utils
nx affected -t test         # 변경된 것만
nx run-many -t build test   # 전체

4단계: nx.json 설정

// nx.json — 워크스페이스 구성
{
  "targetDefaults": {
    "build": { "dependsOn": ["^build"], "cache": true },
    "test": { "cache": true },
    "lint": { "cache": true }
  }
}

지침 사항

  • Nx는 작업 결과를 캐싱합니다. 입력이 변경되지 않았다면 두 번째 실행은 즉시 완료됩니다.
  • CI에서 nx affected를 사용하여 PR에서 변경된 부분만 빌드/테스트하세요.
  • Nx Cloud는 원격 캐싱을 제공하여 팀/CI 간에 캐시를 공유합니다.
  • Nx는 플러그인 없이도 작동합니다. npx nx init으로 모든 저장소에 추가할 수 있습니다.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

TerminalSkills/skills

>- Run GitHub Actions locally with act. Use when a user asks to test GitHub Actions workflows locally, debug CI pipelines without pushing, or run workflows offline.

TerminalSkills/skills

>- You are an expert in AG2 (formerly AutoGen), the open-source multi-agent conversation framework. You help developers build systems where multiple AI agents collaborate through structured conversations — with tool use, human-in-the-loop, code execution, group chat orchestration, and nested conversations — for complex tasks like software development, research, and data analysis.

TerminalSkills/skills

>- Generate short-form videos with AI — script writing, text-to-speech narration, stock footage selection, subtitle generation, and video assembly. Use when: creating TikTok/YouTube Shorts/Reels content, automating video production, building content pipelines.

TerminalSkills/skills

>- Animate 3D objects and characters in Blender with Python. Use when the user wants to keyframe properties, create armatures and rigs, set up IK/FK chains, animate shape keys for facial animation, edit F-Curves, use the NLA editor to blend actions, add drivers for expression-based animation, or script any animation workflow in Blender.

TerminalSkills/skills

>- Automate motion capture and tracking workflows in Blender with Python. Use when the user wants to import BVH or FBX mocap data, retarget motion to armatures, track camera or object motion from video, solve camera motion, clean up motion capture data, or script any tracking pipeline in Blender.

TerminalSkills/skills

>- You are an expert in Bolt.new by StackBlitz, the AI-powered full-stack development environment that runs entirely in the browser. You help developers go from idea to deployed app in minutes using natural language prompts — Bolt generates complete applications with frontend, backend, database, and deployment, all running in a WebContainer without local setup.

TerminalSkills/skills

>- Assists with using Bun as an all-in-one JavaScript/TypeScript runtime, package manager, bundler, and test runner. Use when building HTTP servers, managing packages, running tests, or migrating from Node.js. Trigger words: bun, bun serve, bun install, bun test, bun build, javascript runtime, bun runtime.

TerminalSkills/skills

>- Self-host customer support with Chatwoot. Use when a user asks to set up open-source customer support, add live chat without SaaS costs, build a multi-channel inbox, or deploy a free Intercom alternative.

TerminalSkills/skills

>- You are an expert in Chi, the lightweight, idiomatic Go HTTP router built on `net/http`. You help developers build composable HTTP services using Chi's middleware stack, route groups, URL parameters, sub-routers, and context-based request scoping — providing Express-like ergonomics while staying 100% compatible with Go's standard library.

TerminalSkills/skills

When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes.

TerminalSkills/skills

>- Add live chat and customer support with Crisp. Use when a user asks to add a chat widget, implement live customer support, set up a help desk, create a knowledge base, or add a chatbot to a website.

TerminalSkills/skills

>- Assists with building custom interactive data visualizations using D3.js. Use when creating charts, graphs, maps, force layouts, or hierarchical diagrams that require fine-grained control beyond what charting libraries provide. Trigger words: d3, data visualization, chart, svg, scales, force graph, treemap, choropleth.

TerminalSkills/skills

dbt (data build tool) transforms data in your warehouse using SQL SELECT statements. Learn project setup, models, tests, documentation, incremental materializations, and integration with data warehouses like PostgreSQL, BigQuery, and Snowflake.

TerminalSkills/skills

>- You are an expert in dlt, the open-source Python library for building data pipelines. You help developers load data from any API, file, or database into warehouses and lakes using simple Python decorators — with automatic schema inference, incremental loading, and built-in data contracts. dlt is the "requests library for data pipelines.

TerminalSkills/skills

Data Version Control for ML projects. Track large datasets and models alongside Git, build reproducible ML pipelines, and run experiments with metric comparison. Works with any storage backend including S3, GCS, Azure, and local filesystems.

TerminalSkills/skills

>- You are an expert in E2B, the cloud platform for running AI-generated code in secure sandboxes. You help developers give AI agents the ability to execute code, install packages, read/write files, and run long processes in isolated cloud environments — each sandbox is a lightweight VM that boots in ~150ms with full Linux, filesystem, and networking.

TerminalSkills/skills

>- Transcode, convert, edit, and process audio and video with FFmpeg. Use when a user asks to convert video formats (webm to mp4, mkv to mp4), extract audio from video, compress video files, trim or cut clips, concatenate videos, add subtitles, create thumbnails, apply filters, change resolution or bitrate, re-encode media, create GIFs from video, add watermarks, normalize audio, stream media, or build automated media processing pipelines.

TerminalSkills/skills

>- Create advanced animations with GSAP. Use when building complex timelines, scroll-driven animations, SVG morphing, text animations, or high-performance web animations beyond CSS capabilities.

TerminalSkills/skills

>- Generate deterministic MP4 videos from HTML, CSS, media, and seekable animations using HeyGen's HyperFrames framework. Use when someone asks to "render HTML to video", "make a video with HyperFrames", "create a programmatic video", "turn an animation into MP4", "build a launch/product video from HTML", "render GSAP/Lottie/Three.js to video", or set up an agent-driven video pipeline. Covers init/preview/render/add/lint/inspect commands, data-* timing attributes, animation adapters, and the component catalog.

TerminalSkills/skills

When the user wants to perform load testing, stress testing, or performance testing of APIs and websites using k6. Also use when the user mentions "k6," "load test," "performance test," "stress test," "spike test," "soak test," "thresholds," "virtual users," or "VUs." For browser-based testing, see selenium.

관련 스킬