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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
Broad sampler rather than deep vertical coverage Everyday dev tasks: code review, refactor, test scaffolding SKILL.md conformant — works cross-agent Low setup friction; pick and choose individual folders
Live-Demo
In der Praxis
ai-skill.replay
▶ bereit
▶ Abspielen
Schritt ›
0/0
Anwendungsfälle
Praxisnahe Nutzung: ai-skills
Wann einsetzen: You want to try 3-5 skills in a day before investing in a bigger library.
Ablauf
List
List every skill in ai-skills with a one-line what-it-does.✓ Kopiert
→ Inventory
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
Wann einsetzen: You only want one specific skill from the pack.
Ablauf
Identify the one
Which skill in ai-skills covers generating unit tests for existing code?✓ Kopiert
→ Specific skill name + folder
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
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
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
Single-author community repo — audit each skill before enabling on sensitive projects.
Fehlerbehebung
Häufige Fehler und Lösungen
Skill not recognized by Claude Code after installRestart Claude Code session — skills are loaded at startup, not hot-reloaded
Prüfen: Ask Claude to list available skills
Generated tests reference wrong testing frameworkSpecify 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
Alternative Wann stattdessen Kompromiss
awesome-llm-skill You want a broader, more actively-maintained catalog More skills to sift marketplace-skill You want vetted skills only Smaller catalog