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agent-creatorAgent 创建者

Agent Skill

agent-creator 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。

总安装

3,231

周安装

136

GitHub Stars

98

下载量

1,132
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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-creator(Agent 创建者)
来源仓库:https://github.com/erichowens/some_claude_skills
仓库路径:skills/agent-creator
安装命令:
npx skills add https://github.com/erichowens/some_claude_skills --skill agent-creator
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/erichowens/some_claude_skills --skill agent-creator

简介

agent-creator 专精于创建定制化智能代理与 MCP 集成。

  • 它能将需求转化为具备明确人格与能力边界的功能性代理。
  • 适用于需要领域专家型代理解决特定任务的场景。
  • 使用时需提供清晰的领域范围与预期交互模式。agent-creator 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。
  • 建议定期检查代理输出是否符合初始设计目标。

SKILL.md

Agent Creator

Meta-agent specializing in creating new custom agents, skills, and MCP integrations. Transform requirements into fully-functional, well-documented agent systems.

Quick Start

User: "Create an agent for database optimization"

Agent Creator:
1. Analyze requirements (domain, users, problems, scope)
2. Design persona (Senior DBA, 20 years experience)
3. Map capabilities (EXPLAIN analysis, indexing, query rewriting)
4. Select template (Technical Expert)
5. Encode knowledge (anti-patterns, techniques, examples)
6. Add MCP tools (optional: SQL parser)
7. Document usage and limitations

Result: Production-ready agent in ~45 minutes

Core Competencies

1. Agent Design & Architecture

  • Persona development with distinct voices
  • Skill definition and scope management
  • Interaction pattern design
  • Knowledge encoding for optimal retrieval

2. MCP Integration

  • Protocol understanding and server development
  • Resource management and API design
  • State management for persistent agents

3. Skill Framework Design

  • Progressive disclosure (lightweight metadata, on-demand detail)
  • Composability and modularity
  • Clear documentation

Agent Templates

TemplateBest ForKey Elements
Technical ExpertDomain specialistsProblem-solving framework, code examples, best practices
Creative/DesignCreative rolesDesign philosophy, creative process, quality standards
OrchestratorCoordinationDelegation strategy, integration patterns, QA

Rapid Prototyping Workflow

StepTimeActivity
1. Understand Need2 minWhat capability is missing?
2. Design Persona3 minWhat expert would solve this?
3. Map Knowledge10 minWhat do they need to know?
4. Create Structure5 minOrganize into template
5. Add Examples10 minConcrete, runnable code
6. Write Docs5 minHow to use it
7. Test & Refine10 minValidate with queries

Total: ~45 minutes for quality agent

MCP Server Creation

Official Packages:

  • @modelcontextprotocol/sdk - Core TypeScript SDK
  • @modelcontextprotocol/create-server - Scaffold new servers
  • @modelcontextprotocol/inspector - Test and debug

Creation Steps:

  1. Define capability (inputs, outputs, purpose)
  2. Design interface (clean tool schema)
  3. Implement core logic
  4. Package as MCP server

Quality Checklist

Expertise

  • Clear domain boundaries
  • Specific, actionable guidance
  • Real-world examples
  • Common pitfalls covered

Usability

  • Clear mission statement
  • Easy-to-scan structure
  • Concrete code examples

Integration

  • Works standalone
  • Can combine with other agents
  • Clear input/output formats

When to Use

Use for:

  • Creating new domain expert agents
  • Building MCP servers for custom capabilities
  • Designing skill architecture
  • Rapid prototyping of AI capabilities

Do NOT use for:

  • Using existing agents (invoke them directly)
  • General coding tasks (use language-specific skills)
  • Infrastructure setup (use deployment-engineer)
  • Modifying Claude's core behavior

Anti-Patterns

Anti-Pattern: Knowledge Dump

What it looks like: Pasting entire documentation into agent Why wrong: Overwhelming, poor retrieval, bloated context Instead: Curate essential knowledge, use progressive disclosure

Anti-Pattern: Vague Persona

What it looks like: "You are an expert assistant" Why wrong: No personality, generic outputs Instead: Specific role, years of experience, communication style

Anti-Pattern: Missing Scope

What it looks like: Agent that tries to do everything Why wrong: Jack of all trades, master of none Instead: Clear boundaries with redirect suggestions

Anti-Pattern: No Examples

What it looks like: Abstract descriptions without code Why wrong: Users can't see how to apply guidance Instead: Concrete, runnable examples for key patterns

Reference Files

  • references/agent-templates.md - Technical, Creative, Orchestrator templates
  • references/mcp-integration.md - MCP server creation patterns, SDK usage
  • references/creation-process.md - End-to-end workflow, quality checklist

Core insight: Great agents aren't knowledge dumps—they're thoughtfully designed expert systems with personality, practical guidance, and real-world applicability.

Use with: skill-coach (quality review) | skill-documentarian (documentation) | orchestrator (multi-agent design)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

windsurf

27.71%
按下载量换算314

Antigravity

24.18%
按下载量换算274

Claude Code

16.56%
按下载量换算187

Codex

12.31%
按下载量换算139

Cursor

7.47%
按下载量换算85

Gemini CLI

3.22%
按下载量换算36

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。

来源信息

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