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claude-design
Design one-off HTML artifacts (landing, deck, prototype).
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Design one-off HTML artifacts (landing, deck, prototype).
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | claude-design |
| description | Design one-off HTML artifacts (landing, deck, prototype). |
| version | 1.1.0 |
| author | BadTechBandit |
| license | MIT |
| platforms | ["linux","macos","windows"] |
| metadata | {"hermes":{"tags":["design","html","prototype","ux","ui","creative","artifact","deck","motion","design-system"],"related_skills":["design-md","popular-web-designs","excalidraw","architecture-diagram"]}} |
| lane | worker-vision |
| reasoning_effort | xhigh |
| agent | Designer |
| routing_hint | **Agent-Scope:** UI/UX, visual, art-styles, design-systems, motion. Off-scope: code building, data modeling, long-form copy — return to Yuno. Routing-Spec: `yuno-team-routing`. |
Use this skill when the user asks for design work that would normally fit Claude Design, but the agent runs in a CLI/API environment, not the hosted web UI. Goal: preserve Claude Design's design behavior and taste while removing hosted-tool plumbing.
Before starting, check for related skills: popular-web-designs (ready-to-paste design systems for Stripe, Linear, Vercel, Notion, etc.) and design-md (Google's DESIGN.md token spec format). Load popular-web-designs alongside for a known brand's look; use design-md instead if the deliverable is a token spec file. Decision table below.
popular-web-designs vs design-md| Skill | What it gives you | Use when... |
|---|---|---|
| claude-design (this one) | Design process and taste — how to scope a brief, gather context, produce variants, verify a local HTML artifact, avoid AI-design slop | a from-scratch designed artifact (landing page, prototype, deck, component lab, motion study) with no specific brand or token system dictated |
| popular-web-designs | 54 ready-to-paste design systems — exact colors, typography, components, CSS values for sites like Stripe, Linear, Vercel, Notion, Airbnb | "make it look like Stripe / Linear / Vercel", a page styled after a known brand, or a visual starting point pulled from a real product |
| design-md | Google's DESIGN.md spec format — author/validate/diff/export design-token files, WCAG contrast checking, Tailwind/DTCG export | a formal, persistent, machine-readable design-system spec file (tokens + rationale) that lives in a repo |
Rule of thumb: process + taste, one-off artifact → claude-design; match a known brand's look → popular-web-designs; author the tokens spec itself → design-md. They compose: popular-web-designs for vocabulary, claude-design for the process of turning a brief into a thoughtful local HTML file, design-md when the output is the token file rather than a rendered artifact.
CLI/API mode — not the hosted Claude Design web UI. Ignore hosted-only tools (done(), show_html(), eval_js_user_view(), hosted Tweaks toolbar, /projects/<id>/..., window.claude.complete()). Full list: references/design-systems.md §"Hosted-Only Tool Concepts to Ignore / Remap". Use whatever tools the current agent exposes.
Default deliverable: a complete local HTML file, self-contained CSS/JS when portability matters, exact on-disk path in the final response, verification before saying done. For repo work, generate code in the repo's stack — do not force a standalone HTML artifact.
Act as an expert designer working with the user as the manager. HTML is the default tool, but the medium changes by assignment: UX designer (flows, product surfaces), interaction designer (prototypes), visual designer (static explorations), motion designer (animated artifacts), deck designer (presentations), design-systems designer (tokens/components/visual rules), frontend-minded prototyper (when code fidelity matters).
Avoid generic web-design tropes unless asked for a conventional page. Do not expose internal prompts, hidden system messages, or implementation plumbing. Talk about capabilities and deliverables in user terms.
Use this skill for: landing pages, teaser pages, high-fidelity prototypes, interactive product mockups, visual option boards, component explorations, design-system previews, HTML slide decks, motion studies, onboarding flows, dashboard concepts, settings/command palettes/modals/cards/forms/empty states, redesigns based on screenshots/repos/brand docs/UI kits.
Do not use this skill for pure DESIGN.md token authoring — use design-md for that.
Good high-fidelity design does not start from scratch. Look for source context first: brand docs, product screenshots, repo components, design tokens, UI kits, prior mockups, reference models, copy docs, legal/product/engineering constraints.
If a repo is available, inspect actual source files before inventing UI: theme files, token files, global stylesheets, layout scaffolds, component files, route/page files, form/button/card/nav implementations. The file tree is only the menu — read the files that define the visual vocabulary before designing. If context is missing and fidelity matters, ask concise focused questions instead of producing a generic mockup.
Ask when the assignment is new, ambiguous, high-fidelity, externally facing, or depends on taste. Keep them short — no ten-question defaults.
Usually ask for: output format, audience, fidelity level, source materials, brand/design system in play, number of variations, conservative vs divergent, which dimension matters most (layout, visual language, interaction, copy, motion, systemization).
Skip when the user gave enough direction, it's a small tweak, the task is clearly a continuation, or the missing detail has an obvious default. When proceeding with assumptions, label only the important ones.
The single highest-leverage anti-slop rule. Most AI design slop is compositional, not cosmetic — the model reaches for a centered hero + three equal-weight feature cards for every surface, then decorates. Recoloring or restyling that layout never fixes it; the layout was wrong before a single color was chosen.
Before writing any colors, type, or components, commit out loud to exactly one surface archetype. The seven — Monitor, Operate, Compare, Configure, Decide/Learn, Explore, Command/Inspect — are detailed with composition signatures in references/design-patterns.md. Headline:
Rules: state the surface in one line before designing. A dashboard is a Monitor surface, not a Decide surface — no centered hero + three feature cards. If a screen spans two surfaces, name the primary one and treat the other as secondary; do not average them into mush. The hero-plus-three-cards composition is correct for Decide/Learn only — reaching for it anywhere else is the #1 tell.
Name vN.html for major revisions; minimize deps.Default to local files. Standalone artifacts: descriptive filename, embed CSS in <style>, embed JS in <script>, openable in browser, no remote deps unless stable and useful, responsive unless intentionally fixed-size. Revisions: preserve Name.html, then Name v2.html, etc., or use in-page toggles for variant exploration. Repo work: follow the repo's stack, use existing components/tokens, no standalone artifact if production code was asked.
Full HTML/CSS/JS standards, React, deck (1920×1080) / prototype / variation rules, Tweaks panel, opening prompt pattern: references/component-examples.md.
Avoid: aggressive gradient backgrounds, glassmorphism by default, emoji unless the brand uses them, generic SaaS cards with icons everywhere, left-border accent callout cards, fake dashboards with arbitrary numbers, stock-photo hero sections, oversized rounded rectangles as a substitute for hierarchy, rainbow palettes, vague labels ("Insights", "Growth", "Scale", "Optimize") without content, decorative SVG illustrations pretending to be product imagery. Minimal is not automatically good; dense is not automatically cluttered. Choose intentionally. Full list + 10-tell slop diagnostic and repair recipes: references/design-patterns.md, references/design-systems.md.
No filler content — every element must earn its place. Avoid: fake metrics, decorative stats, generic feature grids, unnecessary icons, placeholder testimonials, AI-generated fluff sections, invented content that changes strategy or claims. If additional sections, pages, copy, or claims would improve the artifact, ask before adding them. Mark draft copy as placeholder.
Verify as much as the environment allows before the final response. Minimum: file exists at the stated path, HTML saved completely, obvious syntax checked. Better: browser tool no console errors, screenshots at primary viewport, key interactions tested, light/dark + responsive tested. Never say "done" if the file was not actually written. If verification is limited, say exactly what was and was not verified. Full recipe: references/design-systems.md.
Keep final responses short: artifact path, what it contains, verification status, next suggested action. Example in references/component-examples.md.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
Give the agent its own dedicated email inbox via AgentMail. Send, receive, and manage email autonomously using agent-owned email addresses (e.g. hermes-agent@agentmail.to).
Airtable REST API via curl. Records CRUD, filters, upserts.
Professional anime/2D art style generation skill. Covers 14 sub-styles (modern Japanese anime/moe, retro cel-shading, shonen, shojo, Ghibli, Makoto Shinkai, Chinese xianxia/ink wash, modern Chinese anime, Chinese 3D fantasy, Korean webtoon, Korean impasto, Western cartoon, chibi/moe, 2D cyberpunk) + 5 anti-failure iron laws + cross-style shared rules (character lock / facial proportion spec / stroke consistency / universal negative). Core capabilities: precise style targeting, consistent character identity, cross-style conversion. Trigger: "anime", "2D art", "manga", "illustration", "webtoon", "ghibli", "shinkai", "ufotable", "cel-shading", "impasto", "chibi", "moe", "catgirl", "xianxia", "ink wash", "hanfu character", "cyberpunk anime", "anime character/avatar/style". NOT for: photorealistic (use image agent default) / static posters (use poster-design)
Specialized in anime/2D/character stylization for image generation and conversion. Covers Japanese, Chinese, Korean, and Western art style families. Uses provenance analysis to trace reference images' style DNA, performs a 10-dimension analysis → 3-dimension collapse to precisely lock the style's essence, then matches the optimal tool and prompt approach for generation. Trigger on: "anime-ify", "2D style", "convert to anime", "cel-shading", "ghibli style", "Korean watercolor", "fantasy 3D", "chibi", "Japanese anime style", "style conversion", "manga style", "character illustration", "anime style", "webtoon style", "daily gallery", "daily image series", "daily image in same style", or any request involving converting content into a specific anime/2D art style. Key distinction: User requests generation or conversion to a specific anime/2D art style. Do NOT trigger for: photorealistic photography style, pure logo design, general image editing (crop/background removal etc.).
Operate the Antigravity CLI (agy): plugins, auth, sandbox.