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ai-skills

제작: sanjay3290 · sanjay3290/ai-skills

General-purpose agent skill collection for AI coding assistants — a sampler set covering everyday dev tasks.

sanjay3290/ai-skills is a general-purpose skill collection — smaller and less specialized than category-specific libraries, but handy as a sampler of common dev workflows packaged as installable skills. Works with any SKILL.md-compatible assistant.

왜 쓰나요

핵심 기능

라이브 데모

실제 사용 모습

ai-skill.replay ▶ 준비됨
0/0

설치

클라이언트 선택

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "ai-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/sanjay3290/ai-skills",
        "~/.claude/skills/ai-skills"
      ],
      "_inferred": true
    }
  }
}

Claude Desktop → Settings → Developer → Edit Config 열기. 저장 후 앱 재시작.

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "ai-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/sanjay3290/ai-skills",
        "~/.claude/skills/ai-skills"
      ],
      "_inferred": true
    }
  }
}

Cursor는 Claude Desktop과 동일한 mcpServers 스키마 사용. 프로젝트 설정이 전역보다 우선.

VS Code → Cline → MCP Servers → Edit
{
  "mcpServers": {
    "ai-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/sanjay3290/ai-skills",
        "~/.claude/skills/ai-skills"
      ],
      "_inferred": true
    }
  }
}

Cline 사이드바의 MCP Servers 아이콘 클릭 후 "Edit Configuration" 선택.

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "ai-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/sanjay3290/ai-skills",
        "~/.claude/skills/ai-skills"
      ],
      "_inferred": true
    }
  }
}

Claude Desktop과 같은 형식. Windsurf 재시작 후 적용.

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "ai-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/sanjay3290/ai-skills",
        "~/.claude/skills/ai-skills"
      ]
    }
  ]
}

Continue는 맵이 아닌 서버 오브젝트 배열 사용.

~/.config/zed/settings.json
{
  "context_servers": {
    "ai-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/sanjay3290/ai-skills",
          "~/.claude/skills/ai-skills"
        ]
      }
    }
  }
}

context_servers에 추가. 저장 시 Zed가 핫 리로드.

claude mcp add ai-skill -- git clone https://github.com/sanjay3290/ai-skills ~/.claude/skills/ai-skills

한 줄 명령. claude mcp list로 확인, claude mcp remove로 제거.

사용 사례

실전 활용법: ai-skills

How to sample a few general-purpose skills without committing to a framework

👤 Developers exploring what agent skills feel like ⏱ ~30 min beginner

언제 쓸까: You want to try 3-5 skills in a day before investing in a bigger library.

사전 조건
  • Skill installed — git clone https://github.com/sanjay3290/ai-skills ~/.claude/skills/ai-skills
흐름
  1. List
    List every skill in ai-skills with a one-line what-it-does.✓ 복사됨
    → Inventory
  2. Try a few
    Pick 3 that look useful to a TypeScript dev and walk me through trying each.✓ 복사됨
    → Demo runs

결과: A feel for which skills you'd keep, which you'd drop.

함정
  • Skills stale relative to newer library versions — Check SKILL.md last-modified; skip ones >6 months old on fast-moving frameworks
함께 쓰기: awesome-llm-skill

Cherry-pick one skill and keep the rest out of your folder

👤 Developers with a curated skills folder ⏱ ~10 min beginner

언제 쓸까: You only want one specific skill from the pack.

흐름
  1. Identify the one
    Which skill in ai-skills covers generating unit tests for existing code?✓ 복사됨
    → Specific skill name + folder
  2. Symlink only that
    Symlink that folder into ~/.claude/skills and leave the rest out.✓ 복사됨
    → Single skill installed

결과: Minimal footprint.

조합

다른 MCP와 조합해 10배 효율

Use this as a sampler, then graduate to the bigger awesome-llm library

Try 3 skills from ai-skills, then move to awesome-llm-skills for broader coverage.✓ 복사됨
ai-skill + filesystem

Use filesystem MCP to scan your project, then have ai-skills generate tests or review code in-context

Read all files in src/, then use ai-skills' test scaffolding to generate unit tests for the untested modules.✓ 복사됨

도구

이 MCP가 노출하는 것

도구입력언제 호출비용
Code review patterns - PR review Claude tokens
Refactor helpers - Cleanup tasks Claude tokens
Test scaffolding - Coverage work Claude tokens

비용 및 제한

운영 비용

API 쿼터
None
호출당 토큰
Varies per skill
금액
Free
Don't load all skills; pick the few you need.

보안

권한, 시크릿, 파급범위

자격 증명 저장: No credentials
데이터 외부 송신: None by default

문제 해결

자주 발생하는 오류와 해결

Skill SKILL.md path nested too deep

Move individual skill folders up so SKILL.md sits at ~/.claude/skills/<name>/SKILL.md

확인: ls ~/.claude/skills/*/SKILL.md
Skill not recognized by Claude Code after install

Restart Claude Code session — skills are loaded at startup, not hot-reloaded

확인: Ask Claude to list available skills
Generated tests reference wrong testing framework

Specify the framework explicitly in your prompt (e.g. 'use pytest' or 'use jest') — the skill defaults may not match your project

대안

ai-skills 다른 것과 비교

대안언제 쓰나단점/장점
awesome-llm-skillYou want a broader, more actively-maintained catalogMore skills to sift
marketplace-skillYou want vetted skills onlySmaller catalog

더 보기

리소스

📖 GitHub에서 공식 README 읽기

🐙 열린 이슈 보기

🔍 400+ MCP 서버 및 Skills 전체 보기