Design & Media

lennney Bundle

UI/UX design intelligence for web and mobile. Includes 50+ styles, 161 color palettes, 57 font pairings, 161 product types, 99 UX guidelines, and 25 chart types across 10 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, and HTML/CSS). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, and check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, and mobile app. Elements: button, modal, navbar, sidebar, card, table, form, and chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, and flat design. Topics: color systems, accessibility, animation, layout, typography, font pairing, spacing, interaction states, shadow, and gradient. Integrations: shadcn/ui MCP for component search and examples.

lennney Bundle

Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.

lennney Skill

Build accessible, responsive, and performant frontend components with design system best practices, modern CSS, and framework-agnostic patterns.

oleg-koval Skill

Prepare an open-source repository for polished public publishing. Use when a user asks to publish, open-source, launch, polish, package, brand, or make a GitHub project presentable with a minimal project icon, social preview image, GitHub Pages landing page, standardized README, essential shields, CI/CD quality gates, release automation checks, and optional donation setup. Prefer the external `logo-generator` skill for icon generation when available, and `nolangz/pixel2motion` for optional motion previews of supported logos or simple artwork.

wanghaisheng Skill

Specify adaptive behaviour for an interface. Chains: user-preference-respect, responsive-accessibility, flexible-typography, colour-independence, simplified-views, information-density. Use when designing a new interface and you want to build adaptability in from the start.

wanghaisheng Skill

Design typography systems that adapt to user needs — scaling, spacing, and font preferences. Use when designing type systems, setting font sizes, defining line heights, or reviewing text readability across conditions. Triggers on: typography, font size, line height, letter spacing, word spacing, text scaling, dyslexia font, readable font, type scale, font units, rem, em, px, reading difficulty.

dtsong Skill

Use when performing structured visual design critique of an interface. Covers hierarchy, contrast, spacing, typography, color, and component consistency with actionable fix recommendations. Do not use for design token architecture (use design-system-architecture) or animation specifications (use motion-design).

dtsong Skill

Use when designing a token-based design system architecture. Covers primitive, semantic, and component token hierarchy, theming strategy for dark/light mode, and cross-platform implementation planning. Do not use for visual critique of existing interfaces (use visual-audit) or animation specifications (use motion-design).

chanw-research Skill

Generate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG. Use when user says "架构图", "workflow 图", "pipeline 图", "确定性矢量图", "figure spec", "draw architecture", or needs precise, editable, publication-ready vector diagrams. Preferred over AI illustration for formal architecture/workflow figures.

chanw-research Skill

Generate a conference poster (article + tcbposter LaTeX → A0/A1 PDF + editable PPTX + SVG) from a compiled paper. Use when user says "做海报", "制作海报", "conference poster", "make poster", "生成poster", "poster session", or wants to create a poster for a conference presentation.

chanw-research Bundle

Submission-grade Nature/high-impact journal figure workflow for Python or R. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, or journal-ready SVG/PDF/TIFF outputs, especially for Nature-family or other high-impact journals. Before plotting, define the figure's conclusion, evidence logic, export needs, and review risks. If the user has not chosen Python or R, ask "Python or R?" and stop. Use only the selected backend for figure generation, previewing, exporting, and QA. Supports matplotlib/seaborn and ggplot2/patchwork/ComplexHeatmap. Not for dashboards or Illustrator/Figma-first infographics.

chanw-research Skill

Generate publication-quality AI illustrations for academic papers using Gemini image generation. Creates architecture diagrams, method illustrations with Claude-supervised iterative refinement loop. Use when user says "生成图表", "画架构图", "AI绘图", "paper illustration", "generate diagram", or needs visual figures for papers.

chanw-research Skill

Workflow 3: Full paper writing pipeline. Orchestrates paper-plan → paper-figure → figure-spec/paper-illustration/mermaid-diagram → paper-write → paper-compile → auto-paper-improvement-loop to go from a narrative report to a polished PDF. At `— effort: max | beast` (or explicit `— assurance: submission`), Phase 6 gates the Final Report on `tools/verify_paper_audits.sh`; the PDF is labelled `submission-ready` only when the external verifier is green. Use when user says "写论文全流程", "write paper pipeline", "从报告到PDF", "paper writing", or wants the complete paper generation workflow.

alecs5am Skill

How to make a vivid, character-driven brand POSTER — a single still image, not a video. A generalized overlay on the art-director step: supplies the poster-as-landing architecture (top banner → massive beveled wordmark → chest-up hero photo → scattered vinyl-sticker collage → copy block → thin footer strip), the parameterized slot set (brand, exclamation word, hero, product, palette, original blob glyph, aesthetic register), the model stack (gpt-5.4-image-2 for crisp typography, gemini fallback), and the niche's failure modes. Works for ANY brand and ANY aesthetic the user names — Y2K streetwear, vaporwave, grunge zine, clean DTC — the skill supplies the layout know-how, the user supplies the subject + vibe. USE WHEN the user asks for a poster / flyer / drop poster / "poster-as-landing-page" / brand key-art / album-cover-style still / hype graphic, with no specific existing poster to reproduce. This is a content-niche craft-overlay SKILL (generalized), loaded on top of a poster-format template match — not a r

alecs5am Bundle

How to turn ONE topic into a Vox-style paper-collage explainer / ad video — a punchy narrated short where each beat is a torn-paper collage POSTER that comes alive, with VO, music and captions. A craft overlay on the standard pipeline: the look is BORN in the image (a rich layered collage poster per beat — text-to-image, 5-part prompt structure, headline baked in), then a FLAT-SAFE "living poster" motion pass animates it, then hard-cut assembly. Supplies the one mandatory beat-map approval gate, the density rule (6+ separate cut-out pieces filling the frame, NOT one sticker on a plain bg), the flat-safe i2v constraint set (ONE smooth 2D camera move, ~5% amplitude, stability anchors on text/layout, banned warp moves) that is WHY seedance works for flat art, and anti-monotony hard cuts (adjacent beats never share a camera move; static reserved for the payoff). Works for ANY topic / product / person + ANY era-matched aesthetic. Ported from vox-director by Alisa Qian. USE WHEN the user asks for a "vox video", "co

alecs5am Skill

How to make an N-creative FB / Meta / IG static ad pack for a real brand — generalized niche know-how, not one specific ad. A domain overlay on the standard pipeline: supplies the 5-set creative matrix (A real-people · B graphic / typography · C proof / data-viz · D meme · E niche-audience), the site-grounding pre-flight (curl CSS hex + Playwright hero screenshot used as `--ref` on every gen), the true-parallel batch shape on `openai/gpt-5.4-image-2`, the per-set prompt cookbook (testimonial portrait, code-card poster, strikethrough price stack, horizontal bar chart, meme header), and the deliverable folder layout (numbered PNGs + `ads-copy.md` + `README.md`). Works for ANY brand the user names — a SaaS dev tool, a DTC product, a B2B service — the skill supplies the matrix know-how, the user supplies the brand + URL. USE WHEN the user asks for an "ad pack", "32 creatives", "FB / Meta / IG ads", "creative matrix", "set of static ads", "performance creatives for <brand>", with N ≥ 4 stills and a single concrete

alecs5am Bundle

Audio-first long-form explainer pipeline — takes one audio file (or a YouTube/podcast URL → audio) and produces a faceless overlay-driven video in the dev-essay / tech-podcast style (5-30 minutes, 16:9, no talking head). Orchestrates the existing `ralphy` primitives: yt-dlp pull → silence-remove → ElevenLabs Scribe v1 word-level transcript → Gemini audio-describe → LLM claim segmentation → per-claim overlay-type planner (code-block / terminal / tweet-card / browser-frame / screenshot / meme / diagram / quote-card / chapter-card / logo-pop) → asset prep (Playwright for screenshots, `ralphy generate image` for memes, ElevenLabs Music for the bed, ElevenLabs SFX for whoosh/pop/hit) → HyperFrames composition with chapter sub-compositions → `ralphy render`. USE WHEN the user drops an audio file (mp3 / wav / m4a) or a YouTube / podcast URL and asks for a long-form video edited on top, says "make a video from this audio / podcast", "monter ce podcast" (FR), "smontiruy podkast v video" (RU transliteration), "audio to

alecs5am Bundle

Analyze a reference image (or video frame) and emit a ready-to-paste structured JSON prompt that captures every visual quality needed to reproduce it through `ralphy generate image --prompt-file`. The reverse of the prompt cookbook: image in -> dense JSON prompt out (scene / style / technical / materials / environment / composition / quality blocks; add a `motion` block for image-to-video). Adapts the schema to ralphy's model stack — `gemini-3-pro-image-preview` for multi-ref consistency, `gpt-5.4-image-2` for crisp typography — and folds any matching `@guideline:<slug>` rules into the quality block. USE WHEN the user uploads or points at a reference image and asks for a prompt, "JSON prompt", "image-to-prompt", "reverse-engineer this image", "recreate this image", "describe this in prompt format", "give me the prompt for this style/look", or wants a per-slide JSON prompt for a carousel. DO NOT FIRE for conversational "what is in this image" questions, image editing, or when the user already has a brief and o

phuhao00 Bundle

将栅格 Logo 转换为语义化 SVG，并生成带 CSS 动画的独立 HTML、帧序列胶片条和拟合 QA 报告。适合品牌 Logo、图标、标识的动效设计。

phuhao00 Skill

理解自然语言修图需求，选择整图编辑、局部重绘、去水印、扩图、参考图编辑、Logo 动画等工具完成图片处理。

phuhao00 Bundle

AI Media Agent Electron 打包流程：macOS DMG 与 Windows zip/portable/NSIS。 涵盖 logo/icon、内置 Python/Node、.env.bundled 密钥合并、安装向导、内嵌控制台、 Playwright、Backend 同步与 APP_DATA 404 修复、桌宠 (Boni) Windows 交叉编译 sidecar、 陪伴室跨进程 signal 唤起、语音 STT (glm-asr-2512) 与 rcedit/Wine 失败绕过。在用户要求打 DMG、 打 Windows 包、打包、发版、electron build，或修改 build_mac.sh / build_win.sh / main.js / renderer/ / desktop-pet/ 时使用。

undermybelt Bundle

Design system and guidelines for Claude's built-in generative UI — the show_widget tool that renders interactive HTML/SVG widgets inline in claude.ai conversations. This skill provides the complete Anthropic "Imagine" design system so Claude produces high-quality widgets without needing to call read_me first. Use this skill whenever the user asks to visualize data, create an interactive chart, build a dashboard, render a diagram, draw a flowchart, show a mockup, create an interactive explainer, or produce any visual content beyond plain text or markdown. Triggers include: "show me", "visualize", "draw", "chart", "dashboard", "diagram", "flowchart", "widget", "interactive", "mockup", "illustrate", "explain how X works" (with visual), or any request for visual/interactive output. Also triggers when the user wants to display financial data visually, create comparison grids, or build tools with sliders, toggles, or live-updating displays.

fufankeji Bundle

Inject a design system (Stitch DESIGN.md / Figma export / Claude Design output / hand-written DESIGN.md) into an existing GitHub Spec-Kit project WITHOUT re-running the whole spec/plan/tasks pipeline. Use this whenever the user has already completed Spec-Kit's specify/clarify/plan/tasks for one or more features AND now wants to add UI design guidance (DESIGN.md, Stitch zip, Figma exports, Claude Design output, HTML prototypes, design tokens) so that the frontend implementation matches a specific visual standard. Triggers include phrases like "我已经跑完 spec-kit 又拿到了设计", "DESIGN.md 怎么融入已有 spec", "Stitch 设计接入 spec-kit", "Figma 设计融入已有的 spec/plan", "Claude Design 怎么用到我已有的项目里", "想把视觉规范注入到 constitution", "不想推倒重跑 spec-kit 但要加入设计", "前端 UI 怎么和我已有的 spec 文档对接". Use this skill even if the user does not explicitly mention "Spec-Kit" — as long as they have spec.md / plan.md / tasks.md files and a separate design artifact, this skill applies. Do NOT use this skill for fresh projects that haven't run Spec-Kit yet (use Spec-Kit d

ww-w-ai Skill

Build platform-independent design systems and consistent component libraries. Triggers: design system, component library, design tokens default: bkit:pipeline-guide frontend: bkit:frontend-architect

dragoon0x Skill

Auto-fix design system violations. Replaces raw hex values with token references, snaps spacing to the scale, and normalizes font usage.

dragoon0x Skill

Full accessibility audit using your design system's color tokens. Checks contrast, focus styles, semantic HTML, touch targets, and motion safety.

dragoon0x Skill

Generate a dark mode variant of your design system. Creates dark-mode token overrides that preserve contrast ratios from the light theme.

dragoon0x Skill

Show the difference between your .forge.json design system and what's actually in the code. Lists every value that drifts from the system.

dragoon0x Skill

Generate a complete design system from a brand color and project type. Creates .forge.json with palette, tokens, type scale, spacing, shadows, and radii. This is the starting command — everything else references what it generates.

dragoon0x Skill

Check the current codebase against your .forge.json design system. Finds raw hex values that should be tokens, spacing off your scale, fonts not in your system, and missing token references.

dragoon0x Skill

Score how well the codebase adheres to your design system. 0-100, where 100 means every value references a token and every pattern follows the system.

dragoon0x Skill

Design system generator and enforcer. Generates a complete, project-aware design foundation from a single brand color and project type. Produces color palettes, semantic tokens, mathematical type scales, spacing scales, shadow systems, and border radii. Every command operates on YOUR generated system, not generic rules. Use when building any frontend UI to ensure consistent, intentional design decisions from the first line of code.

dragoon0x Skill

Add error states, loading states, i18n safety, and edge case handling using your design system's tokens.

dragoon0x Skill

Final quality pass checking every value against your design system. The last command before shipping.

dragoon0x Skill

Regenerate the entire design system from a new brand color while preserving the project type. Updates .forge.json and shows what changed.

dragoon0x Skill

Export your design system as a Tailwind CSS configuration. Generates theme.extend with colors, fonts, spacing, shadows, and radii.