Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
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Generate animated videos and motion graphics from natural language descriptions. Creates a standalone Vite + React project with Framer Motion scenes that auto-play in the browser. Use when the user wants to create animations, motion graphics, video intros, animated presentations, or product demos.
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설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Create animated videos and motion graphics from a natural language description. Outputs a standalone Vite + React + Framer Motion project that plays in the browser.
Break the user's description into a scene plan:
$ARGUMENTS for the user's animation descriptionAuto-detect the best approach based on the request:
| Request Type | Stack | When to Use |
|---|---|---|
| Product intro, presentation, marketing | Framer Motion (default) | Scene-based with text, icons, transitions |
| Generative art, particles, patterns | p5.js | Creative/algorithmic visuals |
| 3D objects, environments, product renders | Three.js + react-three-fiber | 3D scenes needed |
| Simple text/logo animation | CSS animations only | Minimal, no heavy deps |
Default to Framer Motion unless the request clearly needs something else.
~/animations/[project-name]/bash ~/.claude/skills/animate/scripts/scaffold.sh [project-name] [stack]~/.claude/skills/animate/assets/template-files/ into the projectRead the references for animation presets and scene patterns:
references/animation-presets.md — all available transitions, springs, easingsreferences/scene-patterns.md — example scene code patternsFor each scene, create a React component in client/src/components/video/video_scenes/:
motion.div with scene transition presets (fadeBlur, scaleFade, slideLeft, splitHorizontal, morphExpand, etc.)containerVariants and itemVariants for staggered content revealsvw units for responsive sizing (works at any resolution)var(--color-accent), var(--color-bg-dark), etc.).glass-panel class for frosted glass cards.text-gradient and .text-gradient-accent for gradient textCreate client/src/components/video/VideoTemplate.tsx:
SCENE_DURATIONS object (scene name -> milliseconds)useVideoPlayer hook to manage scene advancementAnimatePresence mode="wait" for smooth transitionscurrentScene indexUpdate client/src/index.css with the right colors:
If GEMINI_API_KEY environment variable is available:
references/gemini-integration.md for API detailscd ~/animations/[project-name]
npm install
npm run dev
Tell the user the animation is running at http://localhost:5173 and open it in the browser.
Pick transitions that match the story beat:
vw units for sizing so animations look good at any resolutionAnimatePresence mode="wait" so one scene exits before the next enters아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
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Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
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Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
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Use to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.
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Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
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Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.
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Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.
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