Overview
Taste Skill is a collection of portable Agent Skills aimed at one specific failure mode: coding agents produce interfaces that work but look like boilerplate. Instead of a component library, it ships design direction as instructions — layout structure, typography, spacing, motion and visual density — that a coding agent reads before it writes the frontend.
The repository is organised as several single-purpose skills rather than one big prompt. The default, installed as `design-taste-frontend`, reads the brief, infers a design language and tunes three dials: DESIGN_VARIANCE (centred and clean through to asymmetric), MOTION_INTENSITY (hover-level through to scroll and magnetic effects) and VISUAL_DENSITY (spacious through to dense dashboards). Around it sit variants for a stricter GPT/Codex profile, for redesigning an existing UI, and for named visual directions — high-end soft, minimalist editorial, or industrial brutalist — plus an output-enforcement skill for when a model ships half-finished work.
A second group produces images rather than code: `imagegen-frontend-web`, `imagegen-frontend-mobile` and `brandkit` generate reference comps, mobile flows and brand boards. The documented workflow is to generate those frames with an image model, then hand them to a coding agent to implement — or to use `image-to-code` to run generate → analyse → implement as one pipeline.
Everything installs through the `npx skills add` CLI from vercel-labs/agent-skills, which scans the repository's skills folder, so the code skills and the image skills install the same way and can also simply be pasted into a conversation as SKILL.md files. The default skill is currently at an experimental v2; v1 is preserved under its own install name for projects that depend on its exact behaviour.
What it does
- Design-direction skills that set layout, typography, spacing and motion rules for AI-built frontends
- Three tunable dials at the top of the skill file — DESIGN_VARIANCE, MOTION_INTENSITY, VISUAL_DENSITY
- Named visual directions as separate skills: high-end visual design, minimalist editorial UI, industrial brutalist
- A redesign skill that audits an existing UI first, and an output-enforcement skill against placeholder-comment output
- Image-generation skills for website comps, mobile flows and brand kits, plus an image-to-code pipeline skill
- One install path for every skill via npx skills add, or paste any SKILL.md straight into an agent conversation
Getting started
The skills install with the Agent Skills CLI, which reads the repository's skills/ folder. Install the whole collection, or a single skill by the install name in its SKILL frontmatter.
Install the collection
Adds every skill in the repository — implementation and image-generation alike.
npx skills add https://github.com/Leonxlnx/taste-skillOr install one skill
Pass the install name (the name: field inside SKILL.md, not the folder name). The default frontend skill is design-taste-frontend.
npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend"Pin to v1 if you need the old behaviour
The default skill is now an experimental v2 rewrite; v1 is preserved under its own install name.
npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend-v1"Tune the dials
Open the installed SKILL.md and set the three 1-10 numbers at the top: DESIGN_VARIANCE for layout experimentation, MOTION_INTENSITY for animation depth, VISUAL_DENSITY for information per viewport.
Run the image-first pipeline
For image-to-code, state the order in the prompt so the agent generates references, analyses them, then writes the implementation.
follow the skill: generate images, then analyze, then codeCommands and code are distilled from the project's own documentation — always check the official repo for the latest.
When to use it
- Reach for it when an agent's frontend output is functional but visually generic
- Use the redesign skill to audit and lift the UI of an existing project instead of restyling greenfield code
- Generate reference comps or a brand board with the image skills, then hand the frames to Codex, Cursor or Claude Code
- Pick a named direction — minimalist, soft/high-end or brutalist — when the visual language is already decided
How Taste Skill compares
Taste Skill alongside other open-source agent skills & plugins tools AI/TLDR tracks, ranked by GitHub stars.
| Tool | Stars | What it does |
|---|---|---|
| Superpowers | ★ 297k | A composable skills plugin that installs a spec-first, TDD, subagent-driven development methodology into Claude Code, Codex, Cursor, Gemini CLI and other coding harnesses. |
| Skills for Real Engineers | ★ 282k | Matt Pocock's everyday agent skills for coding agents, covering alignment grilling, planning, code review and research — small, composable and meant to be edited. |
| ECC | ★ 276k | An installable plugin that adds 68 agents, 286 skills, hooks, rules, memory and an agent-config security scanner to Claude Code, Codex and other coding harnesses. |
| Karpathy Coding Guidelines | ★ 218k | A Claude Code plugin and CLAUDE.md rule set built from Andrej Karpathy's observations on LLM coding pitfalls: think before coding, keep it simple, make surgical changes, and work to verifiable success criteria. |
| Ponytail | ★ 159k | A skill and plugin that makes a coding agent take the laziest correct route — a seven-rung ladder from "does this need to exist?" to "the minimum that works" — while keeping validation, security and accessibility off the chopping block. |
| Caveman | ★ 111k | A skill plus local proxy that shortens an AI coding agent's prose while leaving code, commands and paths untouched — the rule file cuts what the agent writes, the proxy compresses what it reads. |
| Addy’s Agent Skills | ★ 104k | A pack of production engineering skills for AI coding agents, with nine lifecycle slash commands — /spec, /plan, /build, /test, /review, /ship — installable into 70+ agents. |
| Taste Skill | ★ 94k | Portable agent skills that stop AI-built interfaces looking generic |