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Agent Skill · 前端设计

agent-implementer(Agent 实施者)

agent-implementer 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

agent-implementer 是前端设计类 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,按安装量在前端设计类的 10,216 个 Skill 里排第 4,732。

总安装 816周安装 33GitHub Stars 3下载 256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:agent-implementer(Agent 实施者)
来源仓库:https://github.com/frankxai/arcanea
仓库路径:skills/agent-implementer
安装命令:
npx skills add https://github.com/frankxai/arcanea --skill agent-implementer
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/frankxai/arcanea --skill agent-implementer

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

Agent 实施者技能用于为 Arcanea 生态系统创建个体代理,确保结构完整性和集成能力。适用于添加新代理到注册中心、修改现有代理能力或实现代理路由逻辑。通过 GitHub 安装并使用 npx skills add 命令加载,需结合原始 README 核验具体用法。

安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。注意该技能涉及代理身份、命令和分类属性,需确保唯一性和正确性。

来源仓库内路径:skills/agent-implementer

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/frankxai/arcanea --skill agent-implementer;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

agent-implementer 怎么安装?

在终端执行 npx skills add https://github.com/frankxai/arcanea --skill agent-implementer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agent-implementer 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。

agent-implementer 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。

agent-implementer 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。

agent-implementer 用的人多吗?

公开数据是累计安装 816 次,近一周安装 33 次,下载 256 次,GitHub 3 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。

agent-implementer 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。
  • 需要处理前端设计类任务、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。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
agent-implementer

Agent 实施者 · 本页

8163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

Agent Implementer Skill

Purpose

Create individual agents for the Arcanea ecosystem with proper structure, capabilities, and integration points.

When to Use

  • Adding new agents to the registry
  • Modifying existing agent capabilities
  • Creating agent-specific prompts
  • Implementing agent routing logic
  • Testing agent performance

Agent Structure

Required Properties

interface Agent {
  // Identity
  id: string;              // Unique kebab-case ID
  name: string;            // Display name
  command: string;         // Invocation command (/id)

  // Classification
  court: string;           // Guardian court name
  element: string;         // Fire/Water/Earth/Air/Void
  frequency: string;       // Operating frequency

  // Capabilities
  specialty: string;       // One-line description
  capabilities: string[];  // What they can do
  skills: string[];        // Available skills
  triggers: string[];      // Activation keywords

  // Configuration
  promptTemplate: string;  // System prompt template
  examples: string[];      // Example outputs
  parameters: ParamSchema; // Input parameters

  // Metadata
  version: string;         // Agent version
  author: string;          // Creator
  tier: 'free' | 'premium'; // Access level
}

Implementation Steps

Step 1: Define Agent Identity

Questions to answer:

  1. What is the agent's core purpose?
  2. Which court does it belong to?
  3. What frequency does it operate at?
  4. What makes it unique?

Example:

const ignitionAgent = {
  id: "ignition",
  name: "Ignition",
  command: "/ignition",
  court: "Draconia",
  element: "fire",
  frequency: "528Hz",
  specialty: "Spark rapid creative ideas"
};

Step 2: Define Capabilities

List what the agent can do:

  • Generate ideas rapidly
  • Break creative blocks
  • Initiate projects
  • Provide energetic momentum

Map to skills:

  • /fire ignite
  • /fire intensify
  • /foundation begin

Step 3: Create Prompt Template

Template structure:

You are {name} from the {court} Court.
Frequency: {frequency} | Element: {element}
Specialty: {specialty}

Your approach:
- {Characteristic 1}
- {Characteristic 2}
- {Characteristic 3}

Task: {{task}}
Context: {{context}}

Provide your contribution as {name}:

Example for Ignition:

You are Ignition from the Draconia Court.
Frequency: 528Hz | Element: Fire
Specialty: Spark rapid creative ideas

Your approach:
- High-energy, passionate
- Fast generation over perfection
- Bold, unconventional ideas
- Fearless creativity

Task: {{task}}
Context: {{context}}

Ignite creative fire. Generate 10 bold, energetic ideas rapidly.
Don't self-censor. Embrace wild possibilities.

Step 4: Define Triggers

Keywords that activate this agent:

triggers: [
  "stuck",
  "blocked",
  "can't start",
  "ignite",
  "spark",
  "rapid",
  "brainstorm",
  "ideas"
]

Step 5: Set Parameters

What inputs does the agent need?

parameters: {
  task: {
    type: "string",
    required: true,
    description: "What to generate ideas for"
  },
  count: {
    type: "number",
    required: false,
    default: 10,
    description: "Number of ideas to generate"
  },
  temperature: {
    type: "number",
    required: false,
    default: 0.9,
    description: "Creativity level (0.1-1.0)"
  }
}

Step 6: Register Agent

Add to registry:

// In arcanea-agents/registry.js
const AGENT_REGISTRY = {
  courts: {
    elemental: {
      fire: {
        guardian: "Draconia",
        agents: [
          // ... other agents
          {
            id: "ignition",
            name: "Ignition",
            // ... all properties
          }
        ]
      }
    }
  }
};

Step 7: Test Agent

Create test cases:

// Test ignition agent
describe('Ignition Agent', () => {
  test('generates ideas for character', async () => {
    const result = await invokeAgent('ignition', {
      task: 'Create a cyberpunk character'
    });
    expect(result.output).toContain('character');
    expect(result.output.split('\n').length).toBeGreaterThan(5);
  });
});

Agent Templates

Fire Court Agent Template

{
  id: "{kebab-name}",
  name: "{TitleCaseName}",
  command: "/{kebab-name}",
  court: "Draconia",
  element: "fire",
  frequency: "{396|528|639|741|852|963}Hz",
  specialty: "{One-line specialty}",
  personality: "{Fiery, passionate, transformative}",
  capabilities: ["{capability1}", "{capability2}"],
  skills: ["/fire {skill1}", "/fire {skill2}"],
  triggers: ["{keyword1}", "{keyword2}"],
  promptTemplate: `You are {name} from the Draconia Court...

Task: {{task}}

Approach with fire: intense, passionate, transformative.
{specific_instructions}`,
  examples: ["{example1}", "{example2}"]
}

Water Court Agent Template

{
  id: "{kebab-name}",
  name: "{TitleCaseName}",
  command: "/{kebab-name}",
  court: "Leyla",
  element: "water",
  frequency: "{396|528|639|741|852}Hz",
  specialty: "{One-line specialty}",
  personality: "{Fluid, emotional, nurturing}",
  capabilities: ["{capability1}", "{capability2}"],
  skills: ["/flow {skill1}", "/flow {skill2}"],
  triggers: ["{keyword1}", "{keyword2}"],
  promptTemplate: `You are {name} from the Leyla Court...

Task: {{task}}

Approach with water: flowing, emotional, adaptive.
{specific_instructions}`,
  examples: ["{example1}", "{example2}"]
}

Common Patterns

Agent with Sub-agents

For complex agents that need specialized modes:

{
  id: "structure",
  name: "Structure",
  subModes: [
    { id: "structure-architect", name: "Architect Mode" },
    { id: "structure-foundation", name: "Foundation Mode" },
    { id: "structure-refinement", name: "Refinement Mode" }
  ]
}

Agent with Parameters

For agents that need configuration:

{
  id: "depth",
  name: "Depth",
  parameters: {
    depth: {
      type: "enum",
      options: ["surface", "shallow", "deep", "abyssal"],
      default: "deep"
    }
  }
}

Agent with Context Memory

For agents that remember previous interactions:

{
  id: "relationship",
  name: "Relationship",
  contextWindow: 5,  // Remember last 5 interactions
  memory: {
    type: "conversation",
    persistence: "session"
  }
}

Best Practices

Do's

✅ Give each agent a clear, single purpose ✅ Use consistent naming conventions ✅ Document all parameters ✅ Provide example outputs ✅ Test with real tasks ✅ Version your agents

Don'ts

❌ Create agents that overlap too much ❌ Give agents vague or broad purposes ❌ Forget to add to registry ❌ Skip testing ❌ Hardcode without configuration options

Validation Checklist

Before an agent is complete:

  • ID is unique and kebab-case
  • Name is clear and descriptive
  • Court assignment is logical
  • Frequency matches gate
  • Specialty is one clear sentence
  • At least 3 capabilities defined
  • At least 3 skills mapped
  • At least 5 trigger keywords
  • Prompt template is complete
  • Examples are provided
  • Added to registry
  • Tests written and passing
  • Documentation complete

Testing Strategy

Unit Tests

test('agent responds correctly', async () => {
  const agent = getAgent('ignition');
  const result = await agent.invoke('Brainstorm ideas');
  expect(result).toBeDefined();
  expect(result.output).toBeTruthy();
});

Integration Tests

test('agent integrates with conductor', async () => {
  const result = await conductor.orchestrate({
    agent: 'ignition',
    task: 'test'
  });
  expect(result.success).toBe(true);
});

User Tests

  • Real users try the agent
  • Feedback collected
  • Iterations made

Conclusion

Implementing agents requires:

  1. Clear definition - Know what the agent does
  2. Proper structure - Follow the template
  3. Thorough testing - Validate functionality
  4. Documentation - Help users understand

Each agent is a specialized creative partner. Build them well.


*Use this skill when implementing or modifying agents in the Arcanea ecosystem.*

平台分布

Codex

36.42%
按下载量换算93

Claude

28.04%
按下载量换算72

Cursor

18.56%
按下载量换算48

Gemini CLI

8.75%
按下载量换算22

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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