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Bun – Habilidades do Terminal

Ajuda a usar o Bun como um runtime JavaScript/TypeScript completo, gerenciador de pacotes, bundler e executor de testes. Use ao construir servidores HTTP, gerenciar pacotes, executar testes ou migrar do Node.js. Palavras-chave: bun, bun serve, bun install, bun test, bun build, runtime javascript, bun runtime.

O que é Bun – Habilidades do Terminal?

Esta skill capacita agentes de IA a trabalharem com o Bun, um runtime JavaScript/TypeScript all-in-one que substitui Node.js, npm, webpack e Jest em um único binário. Ela cobre desde a criação de servidores HTTP de alto desempenho com `Bun.serve()` até a migração completa de projetos Node.js, passando por gerenciamento de pacotes, bundling e testes. Com suporte nativo a TypeScript, WebSocket, TLS e resposta a streaming, a skill garante que o agente utilize as APIs do Bun de forma otimizada, como `Bun.file()`, `Bun.write()` e `Bun.password`. Também orienta sobre a configuração de bundling para diferentes alvos (browser, bun, node) e o uso do executor de testes compatível com Jest. Suporta plataformas como Claude Code, Cursor, Codex e outros terminais de IA que executam comandos shell.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/TerminalSkills/skills/tree/HEAD/skills/bun

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Documentação

Bun

Visão Geral

Bun é um runtime JavaScript/TypeScript all-in-one que substitui Node.js, npm, webpack e Jest com um único binário. Ele oferece suporte nativo a TypeScript, um servidor HTTP de alto desempenho (Bun.serve()), um gerenciador de pacotes rápido, um bundler e um executor de testes compatível com Jest com desempenho dramaticamente superior.

Instruções

  • Ao criar servidores HTTP, use Bun.serve(), que lida com 100K+ req/s com suporte nativo a WebSocket, TLS e respostas em streaming.
  • Ao gerenciar pacotes, use bun install (10-30x mais rápido que npm), bun add, bun remove e prefira bun.lock (formato texto) para diffs legíveis no git.
  • Ao empacotar, use Bun.build() com o target apropriado ("browser", "bun", "node"), ative code splitting com splitting: true e configure tree shaking.
  • Ao escrever testes, use bun test com API compatível com Jest (describe, it, expect), testes de snapshot, mocking com mock.module() e --coverage para cobertura de código.
  • Ao fazer I/O de arquivos, prefira Bun.file() e Bun.write() ao invés de fs do Node.js para operações significativamente mais rápidas, e use Bun.Glob para correspondência de padrões.
  • Ao lidar com autenticação, use Bun.password.hash() e Bun.password.verify() para bcrypt/argon2 em vez de pacotes npm.
  • Ao migrar do Node.js, substitua node por bun nos scripts, mantenha package.json inalterado e observe que a maioria dos pacotes npm funciona sem modificações. Use bun:sqlite para bancos de dados embarcados em vez de pacotes SQLite npm.

Exemplos

Exemplo 1: Construir um servidor API de alto desempenho

Solicitação do usuário: "Crie uma API REST usando o servidor HTTP embutido do Bun"

Ações:

  1. Crie o servidor com Bun.serve() e manipulador de rotas
  2. Analise corpos JSON com request.json() e retorne objetos Response
  3. Adicione upgrade WebSocket para funcionalidades em tempo real
  4. Use Bun.password para autenticação e bun:sqlite para armazenamento de dados

Saída: Um servidor API rápido usando apenas os módulos nativos do Bun, sem dependências externas.

Exemplo 2: Migrar um projeto Node.js para Bun

Solicitação do usuário: "Troque meu projeto Express de Node.js para Bun"

Ações:

  1. Substitua npm install por bun install no CI e na configuração local
  2. Atualize scripts em package.json para usar bun run em vez de node
  3. Substitua dotenv pelo carregamento embutido de .env do Bun
  4. Troque o executor de testes de Jest para bun test com os mesmos arquivos de teste

Saída: Um projeto com Bun com instalação, inicialização e execução de testes mais rápidos.

Diretrizes

  • Use Bun.serve() para novos servidores HTTP; é significativamente mais rápido que Express no Bun.
  • Prefira Bun.file() e Bun.write() ao invés de fs do Node.js para operações de arquivos.
  • Use bun:sqlite para dados locais em vez de adicionar pacotes SQLite npm.
  • Use Bun.password para autenticação em vez de pacotes bcrypt/argon2 npm para zero dependências nativas.
  • Mantenha bun.lock (formato texto) no git para diffs legíveis.
  • Teste com bun test em vez de Jest para a mesma API com execução dramaticamente mais rápida.
  • Ao segmentar navegadores, use Bun.build() com target: "browser".

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

>- 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.

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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