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Agent Skill · 开发

skill-creator(技能创建器)

skill-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。

skill-creator 是开发类 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,按安装量在开发类的 21,746 个 Skill 里排第 16,848。

总安装 465周安装 19GitHub Stars 2,221下载 150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:skill-creator(技能创建器)
来源仓库:https://github.com/tech-leads-club/agent-skills
仓库路径:skills/skill-creator
安装命令:
npx skills add https://github.com/tech-leads-club/agent-skills --skill skill-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。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/tech-leads-club/agent-skills --skill skill-creator

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

skill-creator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定 GitHub 仓库安装使用。安装前建议确认权限范围和维护状态,避免触发不必要的命令执行。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/skill-creator

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/tech-leads-club/agent-skills --skill skill-cre…;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

skill-creator 怎么安装?

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

skill-creator 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。

skill-creator 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。

skill-creator 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。

skill-creator 用的人多吗?

公开数据是累计安装 465 次,近一周安装 19 次,下载 150 次,GitHub 2,221 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。

skill-creator 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。
  • 来源仓库有 2,221 星,维护活跃度相对可查。

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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
skill-creator

技能创建器 · 本页

4652,221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

Skill Creator

This skill provides guidance for creating effective, agent-agnostic skills.

About Skills

Skills are modular, self-contained packages that extend AI agent capabilities by providing specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific domains or tasks—they transform a general-purpose agent into a specialized agent equipped with procedural knowledge.

What Skills Provide

  1. Specialized workflows - Multi-step procedures for specific domains
  2. Tool integrations - Instructions for working with specific file formats or APIs
  3. Domain expertise - Company-specific knowledge, schemas, business logic
  4. Bundled resources - Scripts, references, and assets for complex and repetitive tasks

Core Principles

Concise is Key

The context window is a public good. Skills share context with everything else the agent needs.

Default assumption: The agent is already very smart. Only add context it doesn't already have. Challenge each piece of information: "Does the agent really need this?" and "Does this paragraph justify its token cost?"

Prefer concise examples over verbose explanations.

Anatomy of a Skill

Every skill consists of a required SKILL.md file and optional bundled resources:

skill-name/
├── SKILL.md (required)
│   ├── YAML frontmatter metadata (required)
│   │   ├── name: (required)
│   │   └── description: (required)
│   └── Markdown instructions (required)
└── Bundled Resources (optional)
    ├── scripts/          - Executable code (Python/Bash/etc.)
    ├── references/       - Documentation loaded into context as needed
    └── assets/           - Files used in output (templates, icons, fonts, etc.)
SKILL.md (required)

Every SKILL.md consists of:

  • Frontmatter (YAML): Contains name and description fields. These are the only fields read to determine when the skill gets used—be clear and comprehensive.
  • Body (Markdown): Instructions and guidance for using the skill. Only loaded AFTER the skill triggers.
Bundled Resources (optional)
Scripts (scripts/)

Executable code for tasks that require deterministic reliability or are repeatedly rewritten.

  • When to include: When the same code is being rewritten repeatedly
  • Example: scripts/rotate_pdf.py for PDF rotation tasks
  • Benefits: Token efficient, deterministic
References (references/)

Documentation and reference material loaded as needed into context.

  • When to include: For documentation the agent should reference while working
  • Examples: references/schema.md for database schemas, references/api_docs.md for API specifications
  • Benefits: Keeps SKILL.md lean, loaded only when needed
Assets (assets/)

Files not intended to be loaded into context, but used within output.

  • When to include: When the skill needs files for final output
  • Examples: assets/logo.png for brand assets, assets/template.html for HTML boilerplate

Progressive Disclosure

Skills use a three-level loading system:

  1. Metadata (name + description) - Always in context (~100 words)
  2. SKILL.md body - When skill triggers (<5k words)
  3. Bundled resources - As needed (unlimited)

Keep SKILL.md body under 500 lines. Split content into separate files when approaching this limit.

Skill Creation Process

Step 1: Understand the Skill

Clarify with concrete examples:

  • "What functionality should this skill support?"
  • "Can you give examples of how this skill would be used?"
  • "What would trigger this skill?"

Step 2: Plan Reusable Contents

Analyze each example:

  1. Consider how to execute from scratch
  2. Identify helpful scripts, references, and assets

Step 3: Create the Skill

Create the skill directory:

skill-name/
├── SKILL.md
├── scripts/     (if needed)
├── references/  (if needed)
└── assets/      (if needed)

Step 4: Write SKILL.md

Frontmatter
---
name: skill-name
description: What the skill does and when to use it. Include specific triggers and contexts. Max 1024 characters.
---

Description guidelines:

  • Include both what the skill does AND when to use it
  • Include trigger phrases
  • Max 1024 characters, no XML tags
  • Write in third person
Body

Write instructions for using the skill. Include:

  • Quick start guide
  • Step-by-step workflow
  • Links to reference files when needed

Step 5: Test and Iterate

  1. Use the skill on real tasks
  2. Notice struggles or inefficiencies
  3. Update SKILL.md or resources accordingly
  4. Test again

Quality Checklist

Before finalizing:

  • Description is specific about when to use (max 1024 chars)
  • Folder name uses kebab-case
  • Instructions are actionable and unambiguous
  • Scope is focused (one responsibility)
  • SKILL.md body < 500 lines
  • References are one level deep from SKILL.md

Output Messages

When creating a skill, inform the user:

✅ Skill created successfully!

📁 Location: .agent/skills/[name]/SKILL.md
🎯 Purpose: [brief description]
🔧 How to test: [example prompt that should trigger the skill]

💡 Tip: The agent will use this skill automatically when it detects [context].

平台分布

Codex

33.81%
按下载量换算51

Claude

32.31%
按下载量换算48

Cursor

16.47%
按下载量换算25

Gemini CLI

9.66%
按下载量换算14

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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