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bun-runtime

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

¿Qué es bun-runtime?

Este skill proporciona una guía completa sobre Bun, un runtime y toolkit JavaScript todo-en-uno de alto rendimiento. Explica cuándo es preferible usar Bun en lugar de Node.js, especialmente en proyectos nuevos, en despliegues de Vercel o cuando la velocidad de instalación/ejecución es crítica. Incluye notas detalladas de migración desde Node.js, mostrando cómo reemplazar comandos comunes como 'node', 'npm install' o 'npx' por sus equivalentes en Bun. También cubre el soporte específico de Bun en Vercel, la configuración del runtime y buenas prácticas como el manejo del archivo de bloqueo. El skill es útil para desarrolladores que adoptan Bun, migran código existente o escriben scripts/pruebas con Bun, ofreciendo ejemplos prácticos de uso del runtime, pruebas, scripts y la API nativa de Bun.

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

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Documentación

Bun Runtime

Bun es un runtime y toolkit JavaScript todo-en-uno rápido: runtime, administrador de paquetes, empaquetador y ejecutor de pruebas.

Cuándo usar

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

Úsalo cuando: adoptes Bun, migres desde Node, escribas o depures scripts/pruebas de Bun, o configures Bun en Vercel u otras plataformas.

Cómo funciona

  • Runtime: Runtime compatible con Node (construido sobre JavaScriptCore, implementado en Zig).
  • Administrador 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 librerías.
  • 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 tipo npx. Los built-ins de Node son compatibles; prefiere las APIs de Bun donde existan para mejor rendimiento.

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

Ejemplos

Ejecutar e instalar

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

# Ejecutar 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("add", () => {
  expect(1 + 2).toBe(3);
});

API del 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/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

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.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

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.

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