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brandkit

依据行业、受众与情绪基调推断品牌方向，生成 OKLCH 色阶、语义角色与三层 DTCG 令牌及单一 theme.css，覆盖明暗主题，并用本地 Python 脚本校验 JSON、别名解析与 WCAG 对比度；所需 kit 内的 tokens、taste 与 scripts 文件未随本包提供。

plugin87
热度 0.00
最近更新 2026-10-19 04:19:18
分类：创作依赖：代码执行 / 读写文件应用场景：品牌素材 / UI 原型 / 代码生成

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add plugin87/ux-ui-agent-skills/brandkit
Metadata
name
brandkit
description
Generate a complete, accessible brand design system from a brief — primitive → semantic → component DTCG tokens (color, type, spacing, radius, shadow, motion), light + dark, plus a single theme.css — verified for WCAG. Use when the user wants a from-scratch brand/design foundation, a new palette + type system, or a themeable token kit for a product.
disable-model-invocation
true

Skill: Brand Kit

Step 0 — is the kit here? This skill reads files from the kit. Check once: ls ${CLAUDE_SKILL_DIR}/../../../tokens >/dev/null 2>&1 && echo KIT_OK || echo KIT_MISSING On KIT_MISSING only the skill folders were installed, which is what npx skills add does. Say so plainly, point the user at npx ux-ui-agent-skills init or the plugin install, and stop. Do not guess the contents of a file you could not open.

Stand up the foundation (one token system everything renders from) before any screen. Get this right and every page stays consistent and themeable from one place.

Steps

  1. Brief Inference (mandatory) — name the industry, audience, the one mood adjective, and motion depth (${CLAUDE_SKILL_DIR}/../../../taste/design-taste.md → Brief Inference). Pick an anchoring archetype from ${CLAUDE_SKILL_DIR}/../../../taste/aesthetic-systems.md.
  2. Primitives — generate the brand color ramp in OKLCH (11 shades, consistent chroma) + a neutral ramp; verify the 500 shade ≥ 4.5:1 on white (text) and 600 ≥ 3:1 (UI) per .claude/rules/tokens-and-color.md → Color Generation.
  3. Semantic layer — map roles to primitives: action.primary/-hover/destructive, text.{primary,secondary,on-action,link}, surface.{page,card,raised}, border.{default,strong}, feedback.{success,warning,error,info} — and the dark overrides (designed, not inverted).
  4. Scales — Major Third type scale + composite text styles, 4px spacing scale, radius tiers, elevation, and ${CLAUDE_SKILL_DIR}/../../../tokens/motion.json-style durations/easings.
  5. Emit the DTCG ${CLAUDE_SKILL_DIR}/../../../tokens/*.json (3-tier) + a single theme.css (the one shared source, [data-theme="dark"] overrides). Optionally feed the token-build pipeline (token-build skill) for other platforms.

Verification (definition of done)

  • python3 ${CLAUDE_SKILL_DIR}/../../../scripts/validate_tokens.py — valid JSON, all aliases resolve.
  • python3 ${CLAUDE_SKILL_DIR}/../../../scripts/validate_contrast.py — required text/action/border pairs pass WCAG AA in light AND dark; border.strong ≥ 3:1.
  • python3 ${CLAUDE_SKILL_DIR}/../../../scripts/validate_theme_refs.py — every component var(--…) resolves to the theme.
  • One theme, no per-page palettes; destructive = danger token (not primary); zero hardcoded values.

Output is a verified token foundation — the measurable part is provable (run npm run verify). Brand "feel" still benefits from a human review against ${CLAUDE_SKILL_DIR}/../../../taste/design-taste.md.