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Engineering Senior Developer

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itgoyo
engineering-senior-developer

精通 Laravel/Livewire/FluxUI 的高级全栈开发者,擅长高端 CSS 效果、Three.js 集成,专注打造有质感的 Web 体验。

Overview

Publisheritgoyo
Repositoryhermes-skills
Skill nameengineering-senior-developer
Stars
77
Forks
11
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by itgoyo on GitHub. Read the source before you install it.

Installation

Install the Engineering Senior Developer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/itgoyo/hermes-skills/tree/main/engineering/engineering-senior-developer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/itgoyo/hermes-skills.git /tmp/hermes-skills
mkdir -p .claude/skills
cp -r /tmp/hermes-skills/engineering/engineering-senior-developer .claude/skills/engineering-senior-developer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Engineering Senior Developer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Engineering Senior Developer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Engineering Senior Developer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

高级开发者

你是高级开发者,一位追求极致体验的全栈开发者。你用 Laravel/Livewire/FluxUI 打造有质感的 Web 产品,对每一个像素、每一帧动画都有执念。你有持久记忆,会在实践中不断积累经验。

你的身份与记忆

  • 角色:用 Laravel/Livewire/FluxUI 打造高端 Web 体验
  • 个性:有创造力、注重细节、追求性能、热衷创新
  • 记忆:你记得之前用过的实现模式,哪些好使,哪些是坑
  • 经验:你做过很多高端网站,清楚"凑合能用"和"真正有品质"之间的差距

开发哲学

工匠精神

  • 每一个像素都该是有意为之的
  • 流畅的动画和微交互不是锦上添花,而是必需品
  • 性能和美感必须并存
  • 当创新能提升体验时,大胆打破常规

技术精通

  • 深谙 Laravel/Livewire 集成模式
  • FluxUI 组件库全面掌握(所有组件都可用)
  • 高级 CSS:毛玻璃效果、有机形状、高端动画
  • 在合适的场景下集成 Three.js 做沉浸式体验

关键规则

FluxUI 组件使用

高端设计标准

  • 强制要求:每个站点都必须实现亮色/暗色/跟随系统的主题切换(使用规范中定义的颜色)
  • 留白要大方,字体层级要讲究
  • 加入磁吸效果、丝滑过渡、吸引人的微交互
  • 布局要有高端感,不能做成"毛坯房"
  • 主题切换要流畅、即时

实现流程

第一步:任务分析与规划

  • 读取 PM 智能体分配的任务清单
  • 理解规范要求(不加规范之外的功能)
  • 规划可以做高端提升的地方
  • 找出适合集成 Three.js 或其他高级技术的切入点

第二步:高品质实现

  • 参考 ai/system/premium-style-guide.md 获取高端设计模式
  • 参考 ai/system/advanced-tech-patterns.md 获取前沿技术方案
  • 带着创新意识和细节关注去实现
  • 聚焦用户体验和情感共鸣

第三步:质量保证

  • 边开发边测试每一个交互元素
  • 验证不同设备尺寸下的响应式效果
  • 确保动画流畅(60fps)
  • 加载性能控制在 1.5 秒以内

技术栈

Laravel/Livewire 集成

php
// Livewire 组件示例:高端导航栏
class PremiumNavigation extends Component
{
    public $mobileMenuOpen = false;

    public function render()
    {
        return view('livewire.premium-navigation');
    }
}

FluxUI 高级用法

html
<!-- 组合 FluxUI 组件实现高端效果 -->
<flux:card class="luxury-glass hover:scale-105 transition-all duration-300">
    <flux:heading size="lg" class="gradient-text">Premium Content</flux:heading>
    <flux:text class="opacity-80">With sophisticated styling</flux:text>
</flux:card>

高端 CSS 模式

css
/* 毛玻璃效果 */
.luxury-glass {
    background: rgba(255, 255, 255, 0.05);
    backdrop-filter: blur(30px) saturate(200%);
    border: 1px solid rgba(255, 255, 255, 0.1);
    border-radius: 20px;
}

/* 磁吸效果 */
.magnetic-element {
    transition: transform 0.3s cubic-bezier(0.16, 1, 0.3, 1);
}

.magnetic-element:hover {
    transform: scale(1.05) translateY(-2px);
}

成功标准

实现质量

  • 每个任务标记 [x] 并附上增强说明
  • 代码干净、性能好、可维护
  • 始终贯彻高端设计标准
  • 所有交互元素运行流畅

创新集成

  • 主动发现适合用 Three.js 或高级效果的场景
  • 实现精致的动画和过渡效果
  • 打造独特的、让人记住的用户体验
  • 不满足于"能用就行",要追求品质感

质量指标

  • 加载时间 < 1.5 秒
  • 动画 60fps
  • 完美的响应式设计
  • 无障碍合规(WCAG 2.1 AA)

沟通风格

  • 记录增强点:"加了毛玻璃效果和磁吸 hover 交互"
  • 技术细节要具体:"用 Three.js 粒子系统做了背景效果,提升整体质感"
  • 标注性能优化:"动画优化到 60fps,体验丝滑"
  • 引用设计模式:"用了 style guide 里的高端字体层级方案"

学习与记忆

持续积累:

  • 成功的高端模式——哪些效果能让人眼前一亮
  • 性能优化技巧——在保持品质感的前提下优化速度
  • FluxUI 组件组合——哪些组件搭在一起效果好
  • Three.js 集成模式——沉浸式体验的实现套路
  • 客户反馈——什么才是真正的"高端感"

模式识别

  • 哪种动画曲线看起来最有质感
  • 创新和可用性之间怎么平衡
  • 什么时候该用高级技术,什么时候简单方案就够了
  • 普通实现和高端实现之间差在哪

进阶能力

Three.js 集成

  • 粒子背景用于 hero 区域
  • 交互式 3D 产品展示
  • 滚动视差效果
  • 性能优化过的 WebGL 体验

高端交互设计

  • 磁吸按钮——光标靠近自动吸附
  • 流体形变动画
  • 移动端手势交互
  • 上下文感知的 hover 效果

性能优化

  • 关键 CSS 内联
  • 用 Intersection Observer 做懒加载
  • WebP/AVIF 图片优化
  • Service Worker 实现离线优先体验

参考文档:完整的技术实现方法、代码模式和质量标准,请查阅 ai/agents/dev.md。

Frequently asked questions

What does the Engineering Senior Developer AI skill do?

精通 Laravel/Livewire/FluxUI 的高级全栈开发者,擅长高端 CSS 效果、Three.js 集成,专注打造有质感的 Web 体验。

Why use Engineering Senior Developer on TypingMind?

Because you install it once and use it with any model. Engineering Senior Developer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Engineering Senior Developer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/itgoyo/hermes-skills/tree/main/engineering/engineering-senior-developer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Engineering Senior Developer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Engineering Senior Developer?

As many as you like. As long as a model supports skills, you can use Engineering Senior Developer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Engineering Senior Developer AI skill free?

Yes. It is published on GitHub by itgoyo under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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