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nodenode 命令行

Agent Skill

node 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

19,683

周安装

812

GitHub Stars

1,813

下载量

6,431
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:node(node 命令行)
来源仓库:https://github.com/mcollina/skills
仓库路径:skills/node
安装命令:
npx skills add https://github.com/mcollina/skills --skill node
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mcollina/skills --skill node

简介

node 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合整理仓库状态与变更事项。

  • 适用于围绕代码协作、仓库状态和开发流程的信息组织与梳理。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 安装前需确认权限范围和维护状态,注意可能触发联网或文件读写操作。
  • node 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

When to use

Use this skill whenever you are dealing with Node.js code to obtain domain-specific knowledge for building robust, performant, and maintainable Node.js applications.

TypeScript with Type Stripping

When writing TypeScript for Node.js, use type stripping (Node.js 22.6+) instead of build tools like ts-node or tsx. Type stripping runs TypeScript directly by removing type annotations at runtime without transpilation.

Key requirements for type stripping compatibility:

  • Use import type for type-only imports
  • Use const objects instead of enums
  • Avoid namespaces and parameter properties
  • Use .ts extensions in imports

Minimal example — a valid type-stripped TypeScript file:

// greet.ts
import type { IncomingMessage } from 'node:http';

const greet = (name: string): string => `Hello, ${name}!`;
console.log(greet('world'));

Run directly with:

node greet.ts

See rules/typescript.md for complete configuration and examples.

Common Workflows

For multi-step processes, follow these high-level sequences before consulting the relevant rule file:

Graceful shutdown: Register signal handlers (SIGTERM/SIGINT) → stop accepting new work → drain in-flight requests → close external connections (DB, cache) → exit with appropriate code. See rules/graceful-shutdown.md.

Error handling: Define a shared error base class → classify errors (operational vs programmer) → add async boundary handlers (process.on('unhandledRejection')) → propagate typed errors through the call stack → log with context before responding or crashing. See rules/error-handling.md.

Diagnosing flaky tests: Isolate the test with --test-only → check for shared state or timer dependencies → inspect async teardown order → add retry logic as a temporary diagnostic step → fix root cause. See rules/flaky-tests.md.

Diagnosing stuck processes/tests (node --test hangs, "process did not exit", CI timeout, open handles): isolate file/test → run with explicit timeout/reporter → inspect handles via why-is-node-running (SIGUSR1) → patch deterministic teardown in resource-creation scope → rerun isolated + full suite until stable. See rules/stuck-processes-and-tests.md.

Profiling a slow path: Reproduce under realistic load → capture a CPU profile with --cpu-prof → identify hot functions → check for stream backpressure or unnecessary serialisation → validate improvement with a benchmark. See rules/profiling.md and rules/performance.md.

High-priority activation checklist (streams + caching)

When the task mentions CSV, ETL, ingestion pipelines, large file processing, backpressure, repeated lookups, or deduplicating concurrent async calls, explicitly apply this checklist:

  1. Use await pipeline(...) from node:stream/promises (prefer this over chained .pipe() in guidance/code).
  2. Include at least one explicit async function* transform when data is being transformed in-stream.
  3. Choose a cache strategy when repeated work appears:

- lru-cache for bounded in-memory reuse in a single process. - async-cache-dedupe for async request deduplication / stale-while-revalidate behavior.

  1. Show where backpressure is handled (implicitly via pipeline() or explicitly via drain).

Integrated example pattern (CSV/ETL)

For CSV/ETL-style prompts, prefer an answer structure like:

  • createReadStream(input)
  • async function* parser/transform
  • optional cached enrichment lookup (async-cache-dedupe or lru-cache)
  • await pipeline(...) to a writable destination

Link relevant rules directly in explanations so models can retrieve details:

How to use

Read individual rule files for detailed explanations and code examples:

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.36%
按下载量换算2,210

Claude

30.26%
按下载量换算1,946

Cursor

18.81%
按下载量换算1,210

Gemini CLI

8.31%
按下载量换算534

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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