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bun-runtime

Bun como runtime, gestor de paquetes, empaquetador y ejecutor de pruebas. Cuándo elegir Bun vs Node, notas de migración y soporte en Vercel.

¿Qué es bun-runtime?

Esta skill proporciona orientación completa sobre Bun, un runtime y conjunto de herramientas JavaScript todo-en-uno (runtime, gestor de paquetes, empaquetador y ejecutor de pruebas) diseñado para rendimiento. Es útil para desarrolladores que están adoptando Bun, migrando desde Node.js, o configurando Bun en plataformas como Vercel. Soporta plataformas como Vercel (estableciendo Bun como runtime) y sistemas que usen Node.js. La skill cubre cuándo preferir Bun (proyectos nuevos, velocidad) sobre Node (compatibilidad con ecosistema), cómo migrar (reemplazar `node script.js` con `bun script.js`, usar `bun install` en lugar de `npm install`), y cómo usar Bun para ejecutar, probar, empaquetar y gestionar dependencias. Incluye ejemplos prácticos de comandos CLI y APIs de runtime, así como mejores prácticas como mantener el archivo de bloqueo (`bun.lock`) para instalaciones reproducibles.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/bun-runtime

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Documentación

Runtime Bun

Bun es un runtime y conjunto de herramientas JavaScript rápido y todo-en-uno: runtime, gestor de paquetes, empaquetador y ejecutor de pruebas.

Cuándo usar

  • Prefiere Bun para: proyectos nuevos JS/TS, scripts donde la velocidad de instalación/ejecución importa, despliegues en Vercel con runtime Bun, y cuando deseas un solo conjunto de herramientas (ejecutar + instalar + probar + compilar).
  • Prefiere Node para: máxima compatibilidad con el ecosistema, herramientas heredadas que asumen Node, o cuando una dependencia tiene problemas conocidos con Bun.

Úsalo cuando: estés adoptando Bun, migrando desde Node, escribiendo o depurando scripts/pruebas de Bun, o configurando Bun en Vercel u otras plataformas.

Cómo funciona

  • Runtime: Runtime compatible con Node (construido sobre JavaScriptCore, implementado en Zig).
  • Gestor de paquetes: bun install es significativamente más rápido que npm/yarn. El archivo de bloqueo es bun.lock (texto) por defecto en Bun actual; versiones anteriores usaban bun.lockb (binario).
  • Empaquetador: Empaquetador y transpilador incorporado para aplicaciones y bibliotecas.
  • Ejecutor de pruebas: bun test incorporado con API similar a Jest.

Migración desde Node: Reemplaza node script.js con bun run script.js o bun script.js. Ejecuta bun install en lugar de npm install; la mayoría de los paquetes funcionan. Usa bun run para scripts npm; bun x para ejecuciones únicas estilo npx. Los módulos integrados de Node son compatibles; prefiere las APIs de Bun donde existan para mejor rendimiento.

Vercel: Establece el runtime como Bun en la configuración del proyecto. Compilación: bun run build o bun build ./src/index.ts --outdir=dist. Instalación: bun install --frozen-lockfile para despliegues reproducibles.

Ejemplos

Ejecutar e instalar

# Instala dependencias (crea/actualiza bun.lock o bun.lockb)
bun install

# Ejecuta un script o archivo
bun run dev
bun run src/index.ts
bun src/index.ts

Scripts y entorno

bun run --env-file=.env dev
FOO=bar bun run script.ts

Pruebas

bun test
bun test --watch
// test/example.test.ts
import { expect, test } from "bun:test";

test("suma", () => {
  expect(1 + 2).toBe(3);
});

API de runtime

const file = Bun.file("package.json");
const json = await file.json();

Bun.serve({
  port: 3000,
  fetch(req) {
    return new Response("Hola");
  },
});

Mejores prácticas

  • Confirma el archivo de bloqueo (bun.lock o bun.lockb) para instalaciones reproducibles.
  • Prefiere bun run para scripts. Para TypeScript, Bun ejecuta .ts de forma nativa.
  • Mantén las dependencias actualizadas; Bun y el ecosistema evolucionan rápidamente.

Individual skills in this repo

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

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/ECC

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

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