Communitygithub.com

動畫系統架構師

使用 Framer Motion、GSAP、View Transitions API 和彈簧物理學設計高性能的動畫系統。啟用於:頁面轉換、微互動、滾動動畫、佈局動畫、彈簧物理學。不適用於:僅 CSS 懸停效果(請使用 css-in-js-architect)、影片/Canvas 渲染(請使用 creative-coding-expert)。

動畫系統架構師 是什麼?

此技能專注於設計高效能且無障礙的動畫系統,主要利用 Framer Motion、GSAP、View Transitions API 以及彈簧物理學。它支援 React 和純 JavaScript 專案,提供從聲明式元件動畫到複雜時間軸控制、跨頁面導航動畫和基於彈簧的物理模擬等解決方案。技能的核心原則是僅對 `transform` 和 `opacity` 屬性進行動畫處理,以確保在 GPU 合成執行緒上執行,避免佈局抖動。它也強制要求尊重 `prefers-reduced-motion` 媒體查詢,為對動作敏感的用戶提供簡化或禁用動畫的選項。此外,技能提供了詳細的反模式清單和品質檢查清單,幫助開發者避免常見的效能陷阱,如動畫 `width`/`height` 或過度使用 `will-change`,並確保動畫在 DevTools 效能面板中保持 60fps 的流暢度。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/curiositech/windags-skills/tree/HEAD/skills/animation-system-architect

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

動畫系統架構師 是做什麼的?

使用 Framer Motion、GSAP、View Transitions API 和彈簧物理學,建立高效能且無障礙的動畫系統,以實現流暢的 UI 體驗。

啟動觸發器

啟用於:頁面轉換、佈局動畫、滾動觸發動畫、微互動、彈簧物理學、motion.div、gsap.to、View Transition API、共享元素轉換、交錯列表動畫。

不適用於:僅 CSS 懸停/焦點效果 -- 請使用 css-in-js-architect。Canvas/WebGL 渲染 -- 請使用 creative-coding-expert。Lottie 檔案播放 -- 請使用標準 Lottie 整合。

快速開始

  1. 選擇你的引擎 -- 對 React 聲明式使用 Framer Motion,對時間軸密集型或非 React 使用 GSAP,對跨頁面導航使用 View Transitions API。
  2. 僅對變換和不透明度進行動畫 -- 這些在合成執行緒(GPU)上運行,避免佈局抖動。
  3. 適度使用 will-change -- 僅在即將動畫的元素上使用,完成後移除。
  4. 尊重 prefers-reduced-motion -- 對請求它的用戶禁用或簡化所有動畫。
  5. 使用 DevTools 進行效能分析 -- 在效能標籤頁中檢查動畫期間的佈局變化。

核心能力

領域技術關鍵模式
聲明式 ReactFramer Motion 11+,motion 元件佈局動畫,AnimatePresence,變體
時間軸動畫GSAP 3.12+,ScrollTrigger滾動驅動序列,固定,擦除
頁面轉換View Transitions API,Next.js useViewTransition跨頁面共享元素轉換
彈簧物理學Framer Motion 彈簧,react-spring自然緩動,可中斷動畫
微互動CSS 轉換 + Framer Motion按鈕回饋,懸停狀態,載入指示器
滾動驅動CSS animation-timeline: scroll(),GSAP ScrollTrigger視差,進度指示器,滾動時揭示

架構模式

模式 1:Framer Motion 佈局動畫

import { motion, AnimatePresence, LayoutGroup } from 'framer-motion';

function FilterableGrid({ items, filter }: Props) {
  const filtered = items.filter(item => item.category === filter);

  return (
    <LayoutGroup>
      <motion.div layout className="grid grid-cols-3 gap-4">
        <AnimatePresence mode="popLayout">
          {filtered.map(item => (
            <motion.div
              key={item.id}
              layout                             // 為位置變化添加動畫
              initial={{ opacity: 0, scale: 0.8 }}
              animate={{ opacity: 1, scale: 1 }}
              exit={{ opacity: 0, scale: 0.8 }}
              transition={{ type: 'spring', stiffness: 300, damping: 25 }}
            >
              <Card item={item} />
            </motion.div>
          ))}
        </AnimatePresence>
      </motion.div>
    </LayoutGroup>
  );
}

模式 2:用於頁面導航的 View Transitions API

// app/components/TransitionLink.tsx
'use client';
import { useRouter } from 'next/navigation';
import { useCallback } from 'react';

export function TransitionLink({ href, children }: { href: string; children: React.ReactNode }) {
  const router = useRouter();

  const handleClick = useCallback((e: React.MouseEvent) => {
    e.preventDefault();
    if (!document.startViewTransition) {
      router.push(href);
      return;
    }
    document.startViewTransition(() => {
      router.push(href);
    });
  }, [href, router]);

  return <a href={href} onClick={handleClick}>{children}</a>;
}
/* 透過 view-transition-name 實現共享元素轉換 */
.product-image {
  view-transition-name: product-hero;
}

::view-transition-old(product-hero) {
  animation: fade-and-scale 0.3s ease-out;
}
::view-transition-new(product-hero) {
  animation: fade-and-scale 0.3s ease-in reverse;
}

模式 3:尊重減少動作偏好

import { useReducedMotion } from 'framer-motion';

function AnimatedComponent() {
  const shouldReduce = useReducedMotion();

  return (
    <motion.div
      initial={{ opacity: 0, y: shouldReduce ? 0 : 20 }}
      animate={{ opacity: 1, y: 0 }}
      transition={shouldReduce
        ? { duration: 0 }
        : { type: 'spring', stiffness: 260, damping: 20 }
      }
    >
      內容
    </motion.div>
  );
}
  ┌─ 動畫決策樹 ──────────────────────────────────┐
  │                                                   │
  │  prefers-reduced-motion?                          │
  │  ├── 是 → 僅即時淡入淡出(無運動)               │
  │  └── 否  → 完整彈簧/變換動畫                     │
  │                                                   │
  │  正在動畫什麼?                                   │
  │  ├── transform/opacity → GPU 合成執行緒(良好)   │
  │  ├── width/height → 佈局抖動(避免)              │
  │  └── box-shadow → 僅繪製(可接受)                │
  └───────────────────────────────────────────────────┘

反模式

  1. 對 width、height、top、left 進行動畫 -- 每幀都會觸發佈局重新計算。改用 transform: translate/scale 以達到 60fps。
  2. 對每個元素使用 will-change -- 會將太多圖層提升到 GPU,增加記憶體使用量。僅在即將動畫的元素上應用。
  3. 忽略 prefers-reduced-motion -- 對動作敏感的用戶會感到噁心或癲癇。務必檢查並尊重此媒體查詢。
  4. 微互動的動畫持續時間 > 500ms -- 會讓 UI 感覺遲緩。保持按鈕/懸停回饋在 200ms 以下,頁面轉換在 400ms 以下。
  5. 在滾動期間不使用 requestAnimationFrame 或 ScrollTrigger 進行動畫 -- 會導致卡頓。對滾動驅動的動畫使用 GSAP ScrollTrigger 或 CSS animation-timeline: scroll()。

品質檢查清單

  • 所有動畫都使用 transform 和 opacity(合成友善的屬性)
  • 使用 useReducedMotion 或 CSS 媒體查詢尊重 prefers-reduced-motion
  • 微互動在 200ms 以下,頁面轉換在 400ms 以下
  • 使用 AnimatePresence 處理掛載/卸載動畫
  • 佈局動畫使用 Framer Motion 的 layout prop(非手動位置計算)
  • will-change 僅在動畫期間應用,完成後移除
  • Chrome DevTools 效能面板中無卡頓(無超過 16ms 的長幀)
  • 動畫可中斷(使用彈簧物理學,而非帶有 ease 的固定關鍵影格)
  • View Transitions API 有針對不支援瀏覽器的後備方案
  • 滾動驅動的動畫使用 animation-timeline 或 ScrollTrigger(非滾動事件監聽器)

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

curiositech/windags-skills

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

curiositech/windags-skills

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

curiositech/windags-skills

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

curiositech/windags-skills

Implement WCAG 2.2 AA/AAA compliance with automated testing, keyboard navigation, screen reader support, and focus management. Activate on: accessibility audit, WCAG compliance, keyboard navigation, screen reader, aria attributes, axe-core, focus trap. NOT for: design-level accessibility review (use design-accessibility-auditor), color contrast only (use css-in-js-architect).

curiositech/windags-skills

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

curiositech/windags-skills

Designs digital experiences for ADHD brains using neuroscience research and UX principles. Expert in reducing cognitive load, time blindness solutions, dopamine-driven engagement, and compassionate design patterns. Activate on 'ADHD design', 'cognitive load', 'accessibility', 'neurodivergent UX', 'time blindness', 'dopamine-driven', 'executive function'. NOT for general accessibility (WCAG only), neurotypical UX design, or simple UI styling without ADHD context.

curiositech/windags-skills

>- Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

curiositech/windags-skills

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

curiositech/windags-skills

Conversation patterns and interaction protocols for multi-agent systems. Covers request/response, pub/sub, blackboard, delegation chains, debate, critique, consensus, fan-out/fan-in, supervisor-worker, and peer negotiation. Deep analysis of AutoGen conversation patterns, CrewAI delegation, LangGraph state passing, and FIPA-ACL performatives. Teaches how to design what agents say to each other and in what order. Activate on: "agent conversation", "agent protocol", "multi-agent debate", "agent delegation", "supervisor worker pattern", "agent voting", "consensus protocol", "fan-out fan-in", "agent negotiation", "blackboard pattern", "agent dialogue", "conversation topology", "agent handoff". NOT for: wire format or serialization (use agent-interchange-formats), orchestration infrastructure (use agentic-infrastructure-2026), single agent behavior (use agentic-patterns).

curiositech/windags-skills

Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).

curiositech/windags-skills

AI-powered calendar management and agent-based scheduling coordination. Covers calendar APIs (Google Calendar, CalDAV/iCal), AI scheduling assistants (Reclaim, Clockwise, Motion, Cal.com), building custom calendar agents with MCP, multi-calendar merging, timezone management, focus block protection, meeting fatigue detection, and agent-to-agent meeting negotiation protocols. Activate on: "calendar agent", "AI scheduling", "calendar coordination", "meeting scheduling", "calendar API", "focus time protection", "calendar optimization", "Google Calendar MCP", "Reclaim", "Clockwise", "Motion", "Cal.com", "smart scheduling", "calendar-aware agent", "timezone scheduling", "agent negotiation meetings". NOT for: manual calendar UI component design (use form-validation-architect), project management scheduling or Gantt charts (use project-management-guru-adhd), general time-tracking or pomodoro apps (use adhd-daily-planner for time-awareness), building the agent itself from scratch (use agent-creator).

curiositech/windags-skills

Build and adopt production AI agent infrastructure in 2026. Covers framework selection (LangGraph, CrewAI, AutoGen, MCP), orchestration patterns, evaluation, observability, memory systems, and tool use. Also covers the SOCIAL dimension: how to sell agent infrastructure internally, change management, measuring ROI, building trust in autonomous systems, and scaling adoption across teams. Activate on: "agent infrastructure", "agent framework comparison", "which agent framework", "sell AI tools internally", "agent adoption", "agent observability", "agent evaluation", "MCP architecture", "agentic mesh", "enterprise AI agents", "AI change management", "agent ROI". NOT for: building specific agents (use ai-engineer), designing agent behavior patterns (use agentic-patterns), prompt tuning (use prompt-engineer).

curiositech/windags-skills

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

curiositech/windags-skills

Automated discovery and matching of agent skills for dynamic task routing and capability assessment

curiositech/windags-skills

Cryptographic security for agentic systems — zero-trust agent networking, signed message envelopes (JWS/JWE), capability-based security (ocaps), Merkle tree audit trails, WASM sandboxing, and formal verification. Covers CLI dev tool security, mTLS between agents, permission boundaries (least privilege for AI agents), and supply chain security for skills/plugins. Activate on: "agent security", "zero trust agents", "secure agent communication", "capability-based security", "ocap", "signed messages between agents", "agent audit trail", "sandbox agent execution", "agent permissions", "mTLS agents", "cryptographic verification", "agent supply chain", "OWASP agentic", "prove agent did X", "tamper-proof agent logs". NOT for: application-level SAST scanning (use security-auditor), network firewall rules (use infrastructure), SOC2/HIPAA compliance (organizational), or prompt injection defense (use prompt-engineer).

curiositech/windags-skills

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

curiositech/windags-skills

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

curiositech/windags-skills

>- Design AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.

curiositech/windags-skills

Foundational concurrent computation model where actors communicate exclusively through asynchronous message passing

curiositech/windags-skills

license: Apache-2.0 NOT for unrelated tasks outside this domain.

相關技能