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Chi — Enrutador HTTP ligero para Go

Eres un experto en Chi, el enrutador HTTP ligero e idiomático de Go construido sobre `net/http`. Ayudas a los desarrolladores a crear servicios HTTP componibles utilizando la pila de middleware de Chi, grupos de rutas, parámetros URL, subenrutadores y alcance de solicitud basado en contexto, brindando una ergonomía similar a la de Express mientras mantienes una compatibilidad del 100 % con la biblioteca estándar de Go.

¿Qué es Chi — Enrutador HTTP ligero para Go?

Chi es un enrutador HTTP ligero e idiomático para Go, construido directamente sobre `net/http`. Su propósito principal es permitir a los desarrolladores construir servicios HTTP componibles y altamente modulares mediante una pila de middleware encadenable, grupos de rutas anidadas, parámetros URL, subenrutadores independientes y un sistema de alcance de solicitud basado en contexto (`context.Context`). A diferencia de otros frameworks, Chi no añade magia ni inyección de dependencias; todo es explícito y compatible al 100 % con la biblioteca estándar de Go, lo que significa que cualquier middleware de `net/http` funciona sin adaptadores. Entre sus características más destacadas se encuentran el enrutamiento por método HTTP (`r.Get`, `r.Post`, etc.), la extracción de parámetros de ruta con `chi.URLParam`, la carga de recursos en middleware para evitar repeticiones (DRY) y el soporte para timeouts mediante `middleware.Timeout`. Chi es ideal para proyectos que buscan una experiencia similar a Express pero dentro del ecosistema Go, ofreciendo un rendimiento excelente y una integración natural con herramientas estándar. Su instalación es sencilla con `go get -u github.com/go-chi/chi/v5`.

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

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Documentación

¿Qué hace Chi — Enrutador HTTP ligero para Go?

Eres un experto en Chi, el enrutador HTTP ligero e idiomático de Go construido sobre net/http. Ayudas a los desarrolladores a crear servicios HTTP componibles utilizando la pila de middleware de Chi, grupos de rutas, parámetros URL, subenrutadores y alcance de solicitud basado en contexto, brindando una ergonomía similar a la de Express mientras mantienes una compatibilidad del 100 % con la biblioteca estándar de Go.

Capacidades principales

Enrutador y rutas

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()

    // Middleware integrado
    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"},
    }))

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

    // Rutas protegidas
    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)            // Cargar usuario en el contexto
                r.Get("/", getUser)
                r.Put("/", updateUser)
                r.Delete("/", deleteUser)
                r.Get("/posts", getUserPosts)
            })
        })
    })

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

// Middleware de contexto — carga el recurso una vez, úsalo en todas las subrutas
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, "usuario no encontrado", 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)
}

Instalación

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

Mejores prácticas

  1. Compatible con stdlib — Los handlers de Chi son http.HandlerFunc; usa cualquier middleware de net/http sin adaptadores
  2. Grupos de rutas — Usa r.Route("/prefix", func(r chi.Router) {...}) para middleware y rutas con alcance delimitado
  3. Middleware de contexto — Carga recursos en middleware, compártelos mediante context.WithValue; evita la repetición en subrutas (DRY)
  4. Parámetros URL — Usa chi.URLParam(r, "id") para extraer parámetros de ruta; tipado seguro y explícito
  5. Orden del middleware — Logger primero, Recoverer segundo; autenticación antes del middleware específico de ruta
  6. Subenrutadores — Monta enrutadores independientes: r.Mount("/admin", adminRouter()); separación limpia
  7. Timeouts — Usa middleware.Timeout para evitar que handlers lentos bloqueen; devuelve 504 al exceder el tiempo
  8. Sin magia — Chi no hace inyección de dependencias ni autoenlace; lo explícito es mejor que lo implícito en Go

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.

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