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Agent Skill · 研究检索

engineering-design-thinking(工程设计思维)

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

engineering-design-thinking 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 70,176。

总安装 212周安装 9GitHub Stars 4下载 74核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:engineering-design-thinking(工程设计思维)
来源仓库:https://github.com/jimnguyendev/jimmy-skills
仓库路径:skills/engineering-design-thinking
安装命令:
npx skills add https://github.com/jimnguyendev/jimmy-skills --skill engineering-design-thinking
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jimnguyendev/jimmy-skills --skill engineering-design-thinking

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

工程设计思维用于非平凡功能的五阶段设计决策流程。适合需要系统化思考的软件工程项目。包含需求澄清、原型验证和风险评估等环节。输出设计简报作为编码前置条件。engineering-design-thinking 属于研究检索类 Skill,可作为该场景下的辅助能力补充。建议与产品经理协作,确保需求理解一致。

来源仓库内路径:skills/engineering-design-thinking

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/jimnguyendev/jimmy-skills --skill engineering-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

engineering-design-thinking 怎么安装?

在终端执行 npx skills add https://github.com/jimnguyendev/jimmy-skills --skill engineering-design-thi…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

engineering-design-thinking 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

engineering-design-thinking 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

engineering-design-thinking 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

engineering-design-thinking 用的人多吗?

公开数据是累计安装 212 次,近一周安装 9 次,下载 74 次,GitHub 4 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

engineering-design-thinking 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
engineering-design-thinking

工程设计思维 · 本页

2124需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

thinking: ultrathink

Design Thinking Process

Use this skill before writing code for any feature that is non-trivial.

Non-trivial = touches multiple files, introduces a new concept, changes data flow, adds a dependency, or requires a migration.

Core Principle

Programming is thinking, not typing. AI can produce 10,000 lines per day. The engineering problem is deciding which lines matter.

This skill enforces that decision process through five gates. No implementation begins until all gates are satisfied.

Modes

Think mode (default)

Walk through all five gates. Produce a design brief at the end. Refuse to write implementation code until the brief is accepted.

Review mode

Given an existing design or PR, evaluate it against the five gates. Flag any gate that was skipped or insufficiently addressed.

Scope mode

Given a feature request, determine scope boundaries and identify which gates require the most attention. Output a prioritized checklist.


The Five Gates

  "Build feature X"
        │
        ▼
  ┌─ GATE 1 ─┐     What is the real problem?
  │  Problem  │     Requirements? Constraints? Who benefits?
  └─────┬─────┘
        ▼
  ┌─ GATE 2 ─┐     What exists today?
  │  Context  │     Codebase state? Dependencies? Team constraints?
  └─────┬─────┘
        ▼
  ┌─ GATE 3 ─┐     What are the options?
  │  Options  │     Solution ideality? Trade-off resolution?
  └─────┬─────┘
        ▼
  ┌─ GATE 4 ─┐     How should it be structured?
  │  Design   │     Boundaries? Data flow? Failure modes?
  └─────┬─────┘
        ▼
  ┌─ GATE 5 ─┐     What skills guide implementation?
  │  Routing  │     Which skills, in what order?
  └───────────┘

Gate 1: Problem Framing

Do not start with "how." Start with "what" and "why."

QuestionMust answer
What is the user-facing outcome?One sentence, no jargon
What are the functional requirements?List, prioritized
What are the non-functional requirements?Latency, throughput, availability, security
What assumptions are we making?Label each as verified or unverified
What is NOT in scope?Explicit exclusions prevent creep

Anti-patterns:

  • Jumping to solution before understanding the problem
  • Anchoring on the first framing without challenging it
  • Treating vague requirements as constraints ("it should be fast" is not a requirement)

Gate 2: Context Analysis

Understand the existing system before proposing changes.

QuestionMust answer
What code exists in this area?Files, packages, data flow
What are the existing dependencies?Internal and external
What is the team's expertise?Relevant tech stack experience
What is the deployment environment?Infra constraints, scaling model
What is the timeline?Hard deadline vs. flexible
What tech debt is in the path?Must fix vs. can work around

Actions:

  1. Read the relevant code before proposing anything
  2. Check git history for recent changes in the area
  3. Identify existing patterns the codebase uses
  4. Note any friction points that will affect implementation

Gate 3: Solution Evaluation

Evaluate options by Solution Ideality, not by elegance.

Solution Ideality = Benefits / (Resources Required + Harmful Effects)
  • Resources: time, cost, people, infrastructure
  • Harmful effects: known AND unknown (coupling, operational burden, maintenance cost)
  • A solution that looks clean but introduces hidden coupling scores low

Process:

  1. List at least 2 distinct approaches (avoid single-option bias)
  2. For each approach, score: benefits, resources, harmful effects
  3. Identify trade-offs — then ask: is this a real trade-off or coupling in disguise?
  4. If it is coupling, resolve it (separate concerns) instead of picking a side
  5. Choose the approach with the highest ideality ratio

Anti-patterns:

  • Evaluating only one option
  • Choosing the most "interesting" or "modern" approach
  • Over-engineering for hypothetical future requirements
  • Under-engineering because "we can refactor later"

Gate 4: Architecture Decision

Structure the solution before writing it.

DecisionCriteria
Feature-first or layer-first?Default: feature-first unless strong reason
How many packages/modules?Start with fewer, split only when pain appears
What are the boundaries?Each unit should own one business capability
What is the dependency direction?Must form a DAG — no cycles
What is the data flow?Request → processing → persistence → response
What are the failure modes?Network, timeout, partial failure, data inconsistency
What is the contention model?Low contention vs. high contention → different patterns

Output: A brief architecture sketch — not a diagram tool, just text:

Feature: [name]
Packages: [list with one-line responsibility each]
Dependencies: [A → B → C, no cycles]
Data flow: [request path, happy and error]
Key decisions: [1-3 non-obvious choices with rationale]

Gate 5: Skill Routing

Map the implementation to the right skills in the right order.

Routing table:

Problem typeStart withThen
Backend architecturejimmy-skills@backend-coreLanguage-specific skill
Go implementationjimmy-skills@backend-go-project-layoutRelevant backend-go-* skill
MyVocab Go featurejimmy-skills@myvocap-backendFeature module template
API designjimmy-skills@engineering-rest-api-designBackend skill for implementation
Performance concernjimmy-skills@engineering-perf-optimization-processLanguage-specific perf skill
Full-stack featureThis skill → backend-coreImplementation skills

Output: An ordered skill sequence for the implementation phase.


Design Brief Template

After all five gates are satisfied, produce this brief:

## Design Brief: [Feature Name]

### Problem
[One paragraph from Gate 1]

### Context
[Key findings from Gate 2]

### Chosen Approach
[Selected option from Gate 3 with ideality rationale]

### Architecture
[Sketch from Gate 4]

### Implementation Plan
[Ordered skill sequence from Gate 5]
[Estimated scope: files to create/modify]

### Risks & Mitigations
[From failure mode analysis in Gate 4]

### Out of Scope
[Explicit exclusions from Gate 1]

Do not begin implementation until the user accepts the brief.


When to Use This Skill

TriggerAction
User says "build feature X" or "implement X"Run full five gates
User says "I need to add..." with scope > 1 fileRun full five gates
User says "/design"Run full five gates
User says "review this design"Run in review mode
User says "what's the scope of X?"Run in scope mode
User asks a single implementation questionSkip — route directly to implementation skill

Recommended Hooks

For teams that want design thinking enforced automatically, add to .claude/settings.json:

{
  "hooks": {
    "PreToolCall": [
      {
        "matcher": "Write",
        "command": "echo 'Creating new file — have you run /design for this feature?'"
      }
    ]
  }
}

This provides a gentle reminder when creating new files, without blocking single-file edits.

Cross-References

  • jimmy-skills@backend-core — Backend-specific design principles
  • jimmy-skills@myvocap-backend — MyVocab project-specific feature module patterns
  • jimmy-skills@engineering-perf-optimization-process — Performance-specific gate process
  • jimmy-skills@engineering-rest-api-design — API contract design

平台分布

Codex

35.86%
按下载量换算27

Claude

29.22%
按下载量换算22

Cursor

19.01%
按下载量换算14

Gemini CLI

9.44%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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