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ai-skills
by 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.
Why use it
Key features
- 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
What it looks like in practice
Use Cases
Real-world ways to use ai-skills
When to use: You want to try 3-5 skills in a day before investing in a bigger library.
Flow
-
List
List every skill in ai-skills with a one-line what-it-does.✓ Copied
→ Inventory
-
Try a few
Pick 3 that look useful to a TypeScript dev and walk me through trying each.✓ Copied
→ Demo runs
Outcome: A feel for which skills you'd keep, which you'd drop.
Pitfalls
- Skills stale relative to newer library versions — Check SKILL.md last-modified; skip ones >6 months old on fast-moving frameworks
When to use: You only want one specific skill from the pack.
Flow
-
Identify the one
Which skill in ai-skills covers generating unit tests for existing code?✓ Copied
→ Specific skill name + folder
Outcome: Minimal footprint.
Combinations
Pair with other MCPs for X10 leverage
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.✓ Copied
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.✓ Copied
Cost & Limits
What this costs to run
- API quota
- None
- Tokens per call
- Varies per skill
- Monetary
- Free
- Tip
- Don't load all skills; pick the few you need.
Security
Permissions, secrets, blast radius
Credential storage: No credentials
Data egress: None by default
- Single-author community repo — audit each skill before enabling on sensitive projects.
Troubleshooting
Common errors and fixes
Skill not recognized by Claude Code after install
Restart Claude Code session — skills are loaded at startup, not hot-reloaded
Verify: 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
Alternatives
ai-skills vs others
| Alternative | When to use it instead | Tradeoff |
|---|
| awesome-llm-skill | You want a broader, more actively-maintained catalog | More skills to sift |
| marketplace-skill | You want vetted skills only | Smaller catalog |