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Chi — 경량 Go HTTP 라우터

Chi는 `net/http` 위에 구축된 경량의 관용적인 Go HTTP 라우터입니다. 미들웨어 스택, 라우트 그룹, URL 파라미터, 서브 라우터, 컨텍스트 기반 요청 스코핑을 사용하여 구성 가능한 HTTP 서비스를 구축할 수 있도록 도와줍니다. Express와 유사한 인체공학적 설계를 제공하면서도 Go 표준 라이브러리와 100% 호환됩니다.

Chi — 경량 Go HTTP 라우터란 무엇인가요?

이 스킬은 Chi Go HTTP 라우터에 대한 전문 지식을 제공합니다. Chi는 `net/http`를 기반으로 하여 경량이면서도 강력한 기능을 제공하며, 미들웨어 스택, 라우트 그룹, URL 파라미터, 서브 라우터 및 컨텍스트 기반 요청 스코핑을 통해 구성 가능한 HTTP 서비스를 구축할 수 있게 해줍니다. Express와 유사한 인체공학적 설계를 제공하면서도 Go 표준 라이브러리와 100% 호환되므로, 기존 `net/http` 미들웨어를 어댑터 없이 그대로 사용할 수 있습니다. 주요 기능으로는 라우터 생성, 미들웨어 사용(userCtx, authMiddleware 등), 라우트 그룹 설정, URL 파라미터 추출(chi.URLParam), 서브 라우터 마운트 등이 있으며, 설치 명령어(`go get -u github.com/go-chi/chi/v5`)와 함께 다양한 모범 사례를 제공합니다. 이 스킬은 Go 개발자들이 확장 가능하고 유지보수하기 쉬운 HTTP API를 구축하는 데 도움을 줍니다.

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

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

Chi — 경량 Go HTTP 라우터은(는) 무엇을 하나요?

당신은 net/http 위에 구축된 경량의 관용적인 Go HTTP 라우터인 Chi의 전문가입니다. 미들웨어 스택, 라우트 그룹, URL 파라미터, 서브 라우터 및 컨텍스트 기반 요청 스코핑을 사용하여 구성 가능한 HTTP 서비스를 구축하는 개발자를 도와줍니다 — Express와 유사한 인체공학적 설계를 제공하면서도 Go 표준 라이브러리와 100% 호환됩니다.

핵심 기능

라우터 및 라우트

package main

import (
    "encoding/json"
    "net/http"
    "github.com/go-chi/chi/v5"
    "github.com/go-chi/chi/v5/middleware"
    "github.com/go-chi/cors"
)

func main() {
    r := chi.NewRouter()

    // 내장 미들웨어
    r.Use(middleware.Logger)
    r.Use(middleware.Recoverer)
    r.Use(middleware.RequestID)
    r.Use(middleware.RealIP)
    r.Use(middleware.Timeout(30 * time.Second))
    r.Use(cors.Handler(cors.Options{
        AllowedOrigins: []string{"https://app.example.com"},
        AllowedMethods: []string{"GET", "POST", "PUT", "DELETE"},
    }))

    // 공개 라우트
    r.Get("/health", func(w http.ResponseWriter, r *http.Request) {
        json.NewEncoder(w).Encode(map[string]string{"status": "ok"})
    })

    // 보호된 라우트
    r.Route("/api", func(r chi.Router) {
        r.Use(authMiddleware)

        r.Route("/users", func(r chi.Router) {
            r.Get("/", listUsers)
            r.Post("/", createUser)

            r.Route("/{userID}", func(r chi.Router) {
                r.Use(userCtx)            // 컨텍스트에 사용자 로드
                r.Get("/", getUser)
                r.Put("/", updateUser)
                r.Delete("/", deleteUser)
                r.Get("/posts", getUserPosts)
            })
        })
    })

    http.ListenAndServe(":3000", r)
}

// 컨텍스트 미들웨어 — 리소스를 한 번 로드하고 모든 서브 라우트에서 사용
func userCtx(next http.Handler) http.Handler {
    return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
        userID := chi.URLParam(r, "userID")
        user, err := db.FindUser(userID)
        if err != nil {
            http.Error(w, "user not found", 404)
            return
        }
        ctx := context.WithValue(r.Context(), "user", user)
        next.ServeHTTP(w, r.WithContext(ctx))
    })
}

func getUser(w http.ResponseWriter, r *http.Request) {
    user := r.Context().Value("user").(*User)
    json.NewEncoder(w).Encode(user)
}

func listUsers(w http.ResponseWriter, r *http.Request) {
    page := r.URL.Query().Get("page")
    users, _ := db.ListUsers(page)
    w.Header().Set("Content-Type", "application/json")
    json.NewEncoder(w).Encode(users)
}

설치

go get -u github.com/go-chi/chi/v5

모범 사례

  1. 표준 라이브러리 호환 — Chi 핸들러는 http.HandlerFunc입니다. 어댑터 없이 모든 net/http 미들웨어를 사용할 수 있습니다.
  2. 라우트 그룹 — r.Route("/prefix", func(r chi.Router) {...})로 스코프가 지정된 미들웨어와 라우트를 만드세요.
  3. 컨텍스트 미들웨어 — 미들웨어에서 리소스를 로드하고 context.WithValue를 통해 공유하세요. 서브 라우트에서 중복을 피할 수 있습니다.
  4. URL 파라미터 — chi.URLParam(r, "id")를 사용하여 라우트 파라미터를 추출하세요. 타입 안전하고 명시적입니다.
  5. 미들웨어 순서 — Logger를 먼저, Recoverer를 두 번째로 배치하세요. 인증 미들웨어는 라우트별 미들웨어보다 앞에 둡니다.
  6. 서브 라우터 — 독립적인 라우터를 마운트하세요: r.Mount("/admin", adminRouter()). 명확한 분리가 가능합니다.
  7. 타임아웃 — middleware.Timeout을 사용하여 느린 핸들러가 블로킹되지 않도록 방지하세요. 타임아웃 시 504를 반환합니다.
  8. 매직 없음 — Chi는 의존성 주입이나 자동 바인딩을 수행하지 않습니다. Go에서는 명시적인 것이 암시적인 것보다 낫습니다.

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

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.

TerminalSkills/skills

>- Lovable (formerly GPT Engineer) is a browser-based AI app builder that turns a natural-language description into a working full-stack web app with a built-in backend, authentication, database and one-click publishing. Use when the user wants to prototype or ship a web app with Lovable, write effective Lovable prompts, connect Supabase or GitHub, review generated security rules, or move a Lovable project into their own editor.

관련 스킬