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Bun 쉘 스크립트 실행기

Bun의 내장 $ 쉘 API를 활용하여 크로스 플랫폼 쉘 스크립트를 오케스트레이션합니다.

Bun 쉘 스크립트 실행기란 무엇인가요?

이 스킬은 Bun 런타임의 강력한 내장 `$` 쉘 API(`Bun.Shell`)를 활용하여 TypeScript에서 크로스 플랫폼 쉘 스크립트를 쉽게 오케스트레이션할 수 있게 해줍니다. 태그된 템플릿 리터럴, 자동 글로브(glob) 확장, 파이프된 프로세스 구성을 지원하여 복잡한 셸 작업을 간결하고 안전하게 표현할 수 있습니다. 주요 AI 에이전트 플랫폼(Claude Code, Cursor, Codex 등)과 함께 사용할 수 있으며, Node.js의 드롭인 대체재로서 빠른 시작 시간과 통합된 테스트 러너, 패키지 매니저를 제공합니다. 개발자는 `bun run`, `bun test` 등의 명령어를 통해 기존 Node.js 워크플로우를 더 빠르고 효율적으로 대체할 수 있으며, 특히 크로스 플랫폼 호환성이 중요한 스크립트 작업에서 큰 이점을 얻을 수 있습니다.

지원 대상~Claude Code✓Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/bun-shell-script-executor
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이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

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문서

Bun 쉘 스크립트 실행기은(는) 무엇을 하나요?

Bun의 내장 $ 쉘 API (Bun.Shell)를 활용하여 태그된 템플릿 리터럴, 자동 글로브 확장, 파이프된 프로세스 구성을 통해 TypeScript에서 크로스 플랫폼 쉘 스크립트를 오케스트레이션합니다.

설치

환경에 맞는 업스트림 설치 또는 설정 경로를 사용하세요:

  • npm install -g bun
  • brew tap oven-sh/bun
  • brew install bun
  • docker pull oven/bun

업스트림의 요구 사항 및 주의 사항:

  • 핵심은 Bun 런타임으로, Node.js의 드롭인 대체재로 설계된 빠른 JavaScript 런타임입니다. Zig로 작성되었으며 JavaScriptCore로 구동되어 시작 시간을 크게 단축합니다.
  • bun 명령줄 도구는 테스트 러너, 스크립트 러너, Node.js 호환 패키지 매니저도 구현합니다. 개발을 위해 1,000개의 node_modules가 필요한 대신 bun만 있으면 됩니다. Bun의 내장 도구는 상당히...

  • Docker 사용 시

기본 사용법 또는 시작 노트:

출처

Individual skills in this repo

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

Academic Paper Citation Network Mapper

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act Local GitHub Actions Runner

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Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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