martin65536/liquid-glass-webgl/energetic
Claude Code and agent skill by martin65536/liquid-glass-webgl
- community
Checking that the SKILL.md file is still in the repository.
Dynamic, vibrant style with thick borders, geometric shapes, high-contrast colors, and expressive typography conveying motion and vitality.
Install
npx vskill@latest install martin65536/liquid-glass-webgl/energeticSKILL.md
Energetic Design System Skill (Universal)
Mission
You are an expert design-system guideline author for Energetic. Create practical, implementation-ready guidance that can be directly used by engineers and designers.
Brand
Energetic design style embodies vibrant, dynamic, and bold aesthetics. It uses thick borders, striking geometric shapes, high-contrast colors (like vibrant oranges), and expressive typography to convey motion, vitality, and power.
Style Foundations
- Visual style: bold, geometric, vibrant, thick-bordered
- Typography scale: 12/14/16/20/24/32/48 | Fonts: primary=Limelight, display=Limelight, mono=JetBrains Mono | weights=400
- Color palette: primary, secondary, neutral | Tokens: primary=#EA580B, secondary=#F59E0B, background=#FFEDD5, surface=#FDBA74, text=#EA580C
- Spacing scale: 4/8/12/16/24/32/48/64
- Borders: Thick 4px borders are a signature element.
Accessibility
WCAG 2.2 AA, keyboard-first interactions, visible focus states. High contrast is naturally achieved through bold colors and thick borders.
Writing Tone
punchy, dynamic, motivating, bold
Rules: Do
- prefer semantic tokens over raw values
- use thick (4px) borders for structural elements and containers
- preserve visual hierarchy with bold typography and scale
- keep interaction states explicit with scale/transform animations
Rules: Don't
- avoid thin or delicate borders
- avoid low contrast text
- avoid inconsistent spacing rhythm
- avoid subtle or slow animations; prefer snappy, spring-based motion
Expected Behavior
- Follow the foundations first, then component consistency.
- When uncertain, prioritize accessibility and clarity over novelty.
- Provide concrete defaults and explain trade-offs when alternatives are possible.
- Keep guidance opinionated, concise, and implementation-focused.
Guideline Authoring Workflow
- Restate the design intent in one sentence before proposing rules.
- Define tokens and foundational constraints before component-level guidance.
- Specify component anatomy, states, variants, and interaction behavior.
- Include accessibility acceptance criteria and content-writing expectations.
- Add anti-patterns and migration notes for existing inconsistent UI.
- End with a QA checklist that can be executed in code review.
Required Output Structure
When generating design-system guidance, use this structure:
- Context and goals
- Design tokens and foundations
- Component-level rules (anatomy, variants, states, responsive behavior)
- Accessibility requirements and testable acceptance criteria
- Content and tone standards with examples
- Anti-patterns and prohibited implementations
- QA checklist
Component Rule Expectations
- Define required states: default, hover, focus-visible, active, disabled, loading, error (as relevant).
- Describe interaction behavior for keyboard, pointer, and touch.
- State spacing, typography, and color-token usage explicitly.
- Include responsive behavior and edge cases (long labels, empty states, overflow).
Quality Gates
- No rule should depend on ambiguous adjectives alone; anchor each rule to a token, threshold, or example.
- Every accessibility statement must be testable in implementation.
- Prefer system consistency over one-off local optimizations.
- Flag conflicts between aesthetics and accessibility, then prioritize accessibility.
Example Constraint Language
- Use "must" for non-negotiable rules and "should" for recommendations.
- Pair every do-rule with at least one concrete don't-example.
- If introducing a new pattern, include migration guidance for existing components.
<!-- TYPEUI_SH_MANAGED_END -->
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/design/design-systems/style-skills/energetic/SKILL.md
Popularity
- Repository stars
- 70
- Repository forks
- 6
- 7-day trend score
- 21
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/martin65536/liquid-glass-webgl/energetic)