Agent skills for LLMs.
# Install all skills
npx skills add nateslabach/skills
# Install a specific skill
npx skills add nateslabach/skills --skill <skill-name>| Skill | Description | Category |
|---|---|---|
| brutal-truth | Disables diplomatic padding for cold, unfiltered, consequentialist analysis on any topic | Reasoning |
| pushback | Stress-tests ideas by surfacing assumptions, counterarguments, and confidence gaps | Reasoning |
| engineering-judgment | Reasoning heuristics for technical decisions: Chesterton's Fence, Occam's Razor, Peter Principle, and Dunning-Kruger | Reasoning |
| response-discipline | Cuts padding and leads with what matters: Parkinson's Law, Pareto, and Goodhart's Law applied to agent output | Reasoning |
| vibe-audit | 20-point code quality audit for codebases that were shipped fast and need hardening | Code Quality |
| code-review | Structured 3-phase code review: intent, issues by severity, and adversarial stress-testing | Code Quality |
| prisma | TypeScript and Prisma ORM best practices for schema design, type-safe queries, migrations, and error handling | Backend |
| react-component | Generates self-contained React/TypeScript components with Tailwind, accessibility, and no placeholders | Frontend |
| depth-ui | Layered color + shadow principles for polished UIs in light and dark themes | UI / Design |
| css-reset | Modern CSS reset covering box-sizing, text rendering, media defaults, and root stacking context | UI / Design |
| human-writing | Strips AI fingerprints from text. Banned vocabulary, forbidden sentence structures, authentic prose | Writing |
| token-maxxing | Writes as many digits of pi as possible into files: single file by default, N files sequentially or in parallel | Fun |
Works with Claude Code, Cursor, Codex, GitHub Copilot, Windsurf, Gemini CLI, Cline, and all agents that support the skills CLI.
| Project | Description |
|---|---|
| prompt.foo | A dojo for your prompts. Build, refine, and master |
| nextish.news | Turn any tech premise into a polished satirical news article |
MIT