Design Engineering

👤 corbin-breton 📦 v1.2.0 ⭐ 4.3 ⬇️ 961 下載
🤖 AI-Agent 免費

📖 技能介紹


name: design-engineering description: Orchestrate iterative design and frontend engineering work through research, planning, sub-agent execution, and validation loops. Use when a visual/UI task requires multiple iterations, when the first implementation needs refinement based on feedback, when choosing between competing technical approaches (Canvas vs SVG vs CSS), or when coordinating sub-agents on design-heavy work. Covers animation architecture decisions, progressive enhancement patterns, performance-aware rendering choices, and the research→plan→execute→validate workflow. Complements frontend-design (which handles aesthetics) by adding engineering discipline, iteration management, and technical decision-making. version: 1.2.0


Design Engineering

Orchestrate design-heavy frontend work that requires iteration, technical decisions, and validation. This skill is about the process — how to research, plan, build, validate, and refine — not the aesthetics (use frontend-design for that).

When to Use

  • Visual work that will take multiple iterations to get right
  • Choosing between technical approaches (Canvas vs SVG vs CSS, etc.)
  • Coordinating sub-agents on parallel design/engineering tasks
  • Refining an implementation based on user feedback
  • Any frontend work where "build it and ship" isn't enough

Scope & Safety

  • All file operations stay within the user's project directory — no absolute paths outside the project root
  • Sub-agents operate within the project scope defined by the orchestrator and must not access files outside it
  • Sub-agent outputs (file writes, research findings) are confined to the project working directory
  • No credentials or external services are required
  • Playwright (when used for screenshots) connects only to localhost dev servers — never to external URLs
  • No data is exfiltrated or transmitted to external endpoints; all work is local

The Iteration Loop

Every design-engineering task follows this cycle:

Research → Plan → Approve → Execute → Validate → Feedback → Refine

1. Research Phase

Before touching code, understand the problem space. Spawn 2-3 research sub-agents in parallel with different lenses:

  • Inspiration/reference — find examples of what we're trying to achieve
  • Technical approaches — what tools/techniques solve this class of problem
  • Constraints — performance, browser support, accessibility, progressive enhancement

Research agents should write findings to files within the project's working directory so context is preserved across iterations.

2. Plan Phase

Synthesize research into a concrete plan. Present to user for approval before executing. The plan should include:

  • Architecture decision with rationale (not just "use X" but "use X because Y fails at Z")
  • Layer/component breakdown
  • What gets removed, what gets added, what stays
  • Pre-mortem: "what would cause this to fail?"
  • Estimated sub-agent tasks
  • Horizon estimate: Count estimated steps across all sub-agents. If > 40 steps total, decompose into sub-phases of ≤ 20 steps. If 20–40 steps, insert a midpoint quality checkpoint (screenshot + integration check before proceeding). Under 20 steps, execute directly. This prevents quality collapse on complex design tasks.

3. Execute Phase

Dispatch sub-agents with focused, context-minimal tasks. Key rules in references/subagent-patterns.md.

4. Validate Phase

After sub-agents complete, the orchestrator MUST validate. Build check is necessary but not sufficient. Check integration points — see references/validation-checklist.md.

5. Feedback → Refine

Ship to user for review. Expect 2-5 iterations on visual work. Each iteration: 1. Screenshot the live result (use Playwright if available) 2. Identify specific issues from feedback 3. Make targeted fixes (don't rebuild from scratch each time) 4. Validate and redeploy

Technical Decision Framework

When choosing between rendering approaches, read references/rendering-decisions.md. Quick heuristic:

Need Use
Static decorative pattern CSS background-image with SVG data URI
<100 authored animated elements Inline SVG + CSS animations
Procedural generation, >100 elements, full-page coverage Canvas 2D
3D, heavy particle systems, post-processing Three.js/WebGL (last resort — heavy)

Progressive Enhancement Stack

Every visual enhancement must degrade gracefully: 1. CSS baseline (always works, no JS) 2. JS-enhanced layer fades in on top 3. prefers-reduced-motion → skip animations entirely 4. Low-end device detection → reduce complexity 5. Light/dark theme awareness

Glass-Panel Pattern

For content floating over animated backgrounds:

.card {
  background: color-mix(in srgb, var(--bg-card) 50-60%, transparent);
  backdrop-filter: blur(8-12px);
  -webkit-backdrop-filter: blur(8-12px);
}

Lets animation show through while keeping text readable. Adjust blur and opacity based on background intensity.

References

  • references/subagent-patterns.md — How to dispatch and validate sub-agent work
  • references/validation-checklist.md — Post-execution checks that catch integration bugs
  • references/rendering-decisions.md — Canvas vs SVG vs CSS decision guide with production lessons

    發現更多技能外掛,請訪問7w4.net。

🤖 AI 評測

這個 Skill 質量較好,文件結構完整、內容專業,覆蓋了設計工程的全流程和技術決策指南。主要優點是提供了清晰的迭代模式和驗證清單;不足是缺少實際案例,對於不熟悉設計工程流程的使用者來說,上手可能有一定門檻。

📊 多維度評分

適應性4.1
規範性4.4
有效性4.7
可靠性3.8
可信度4.5

📁 包含檔案 (5 個)

📄 SKILL.md 5.2 KB
📄 _meta.json 137 B
📄 references/rendering-decisions.md 3.6 KB
📄 references/subagent-patterns.md 2.4 KB
📄 references/validation-checklist.md 2 KB