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ai-skills

von 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.

Warum nutzen

Hauptfunktionen

Live-Demo

In der Praxis

ai-skill.replay ▶ bereit
0/0

Installieren

Wählen Sie Ihren Client

~/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
    }
  }
}

Öffne Claude Desktop → Settings → Developer → Edit Config. Nach dem Speichern neu starten.

~/.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
    }
  }
}

Cursor nutzt das gleiche mcpServers-Schema wie Claude Desktop. Projektkonfiguration schlägt die globale.

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
    }
  }
}

Klicken Sie auf das MCP-Servers-Symbol in der Cline-Seitenleiste, dann "Edit Configuration".

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

Gleiche Struktur wie Claude Desktop. Windsurf neu starten zum Übernehmen.

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

Continue nutzt ein Array von Serverobjekten statt einer Map.

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

In context_servers hinzufügen. Zed lädt beim Speichern neu.

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

Einzeiler. Prüfen mit claude mcp list. Entfernen mit claude mcp remove.

Anwendungsfälle

Praxisnahe Nutzung: 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

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

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

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

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

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

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

Wann einsetzen: You only want one specific skill from the pack.

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

Ergebnis: Minimal footprint.

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

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.✓ Kopiert
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.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

WerkzeugEingabenWann aufrufenKosten
Code review patterns - PR review Claude tokens
Refactor helpers - Cleanup tasks Claude tokens
Test scaffolding - Coverage work Claude tokens

Kosten & Limits

Was der Betrieb kostet

API-Kontingent
None
Tokens pro Aufruf
Varies per skill
Kosten in €
Free
Tipp
Don't load all skills; pick the few you need.

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: No credentials
Datenabfluss: None by default

Fehlerbehebung

Häufige Fehler und Lösungen

Skill SKILL.md path nested too deep

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

Prüfen: 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

Prüfen: 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

Alternativen

ai-skills vs. andere

AlternativeWann stattdessenKompromiss
awesome-llm-skillYou want a broader, more actively-maintained catalogMore skills to sift
marketplace-skillYou want vetted skills onlySmaller catalog

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

🔍 Alle 400+ MCP-Server und Skills durchsuchen