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Audit GitHub Actions that run AI agents for prompt injection, unsafe interpolation, sandbox gaps, and permissive actor rules. Use…
Create distinctive, production-grade frontend interfaces with high design quality and accessible markup. Use this skill when the user asks to build or beautify web components, pages, applications, landing pages, dashboards, artifacts, or React/HTML/CSS UI. Generates creative,
$ npx -y skills add waybarrios/opencode-power-pack --skill frontend-design --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/frontend-designContext preview
The summary Claude sees to decide when to auto-load this skill.
Create distinctive, production-grade frontend interfaces with high design quality and accessible markup. Use this skill when the user asks to build or beautify web components, pages, applications, landing pages, dashboards, artifacts, or React/HTML/CSS UI. Generates creative,
name: frontend-design description: Create distinctive, production-grade frontend interfaces with high design quality and accessible markup. Use this skill when the user asks to build or beautify web components, pages, applications, landing pages, dashboards, artifacts, or React/HTML/CSS UI. Generates creative, polished code that avoids generic AI aesthetics, then self-checks it against an objective accessibility and quality rubric. license: Apache-2.0 (modified; see UPSTREAMS.json)
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices, then audit it against the self-critique rubric before returning.
The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints.
Before design thinking, classify the request and plan the appropriate ownership boundary. Ask only about missing information that materially changes structure, behavior, integration, or accessibility; when requirements are sufficient, proceed without a round trip.
A component must not invent an unrelated page shell, global landmarks, document-level `<h1>`, global typography or background, or viewport metadata. A page must not collapse planning into individual components without first establishing page hierarchy, navigation, content flow, and responsive behavior.
All three tracks converge into the design thinking, implementation, anti-generic guidance, self-critique, and optional validation below; do not duplicate those stages per track.
Before coding, understand the context and commit to a BOLD aesthetic direction:
**CRITICAL**: Choose a clear conceptual direction and execute it with precision. Bold maximalism and refined minimalism both work — the key is intentionality, not intensity.
Then implement working code (HTML/CSS/JS, React, Vue, etc.) that is:
Focus on:
NEVER use generic AI-generated aesthetics like overused font families (Inter, Roboto, Arial, system fonts), cliched color schemes (particularly purple gradients on white backgrounds), predictable layouts and component patterns, and cookie-cutter design that lacks context-specific character.
Interpret creatively and make unexpected choices that feel genuinely designed for the context. No design should be the same. Vary between light and dark themes, different fonts, different aesthetics. NEVER converge on common choices (Space Grotesk, for example) across generations.
**IMPORTANT**: Match implementation complexity to the aesthetic vision. Maximalist designs need elaborate code with extensive animations and effects. Minimalist or refined designs need restraint, precision, and careful attention to spacing, typography, and subtle details. Elegance comes from executing the vision well.
Remember: the model is capable of extraordinary creative work. Don't hold back; show what can truly be created when thinking outside the box and committing fully to a distinctive vision.
Left to its own devices a model drifts to the statistical center
54 rigorous skills for Codex, OpenCode, and Pi: code review, security audit, feature development, frontend design, MCP tools, Hugging Face ML/training, and more.
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