| name | get-shit-pretty |
| description | Design engineering for AI coding tools. Full pipeline: brand research, strategy, identity, guidelines, UI design, critique, accessibility audit, build, and review. Expertise skills (color, typography, visuals) serve the entire pipeline. 14 specialized agents with Apple HIG, Nielsen's heuristics, WCAG 2.2 AA, and design token standards. |
| user-invocable | false |
Get Shit Pretty
Design engineering system for AI coding tools. Brand identity + design projects, from strategy to code.
Install
pnpm dlx get-shit-pretty
bunx get-shit-pretty
Pick your runtime (Claude Code, OpenCode, Gemini CLI, or Codex CLI), choose global or local install, and you're set.
What You Get
A dual-diamond design pipeline with 34 skills across two layers:
◆ Expertise (knowledge owners — serve the full pipeline)
color · typography · visuals · accessibility · style
◆ Branding
research → strategy → identity → guidelines
◆ Project
brief → research → design → critique → build → review
↑ │
└──── loop ────────┘
Each pipeline phase spawns specialized agents. Expertise skills carry domain knowledge as sibling files — loaded on demand, zero session-start cost.
- Brand Research — market landscape, audience, competitors
- Brand Strategy — archetype, positioning, voice, messaging (Kapferer Prism)
- Brand Identity — logo directions, color, typography, imagery
- Brand Guidelines — design tokens, STYLE.md, component mapping
- Project Brief — scope, screen list, gap analysis
- Project Research — UX patterns, competitor experiences
- Project Design — screens and flows (Apple HIG)
- Project Critique — Nielsen's 10 heuristics + WCAG 2.2 AA audit
- Project Build — production code from your design system
- Project Review — QA validation against designs
All artifacts live in .design/ inside your project. Design decisions as code, versioned alongside your codebase.
Links
