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Agent Skill · 研究检索

skill-creator(技能创建器)

skill-creator 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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 71,089。

总安装 196周安装 8GitHub Stars 9下载 63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/cdeistopened/skill-stack
仓库路径:skills/skill-creator
安装命令:
npx skills add https://github.com/cdeistopened/skill-stack --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/cdeistopened/skill-stack --skill skill-creator

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。

创建可扩展 Claude 能力的模块化技能包,提供领域专用工作流。适用于需要特殊工具集成、知识库扩展和工作流定制的场景。使用时需定义目标、编写技能文件和运行测试验证效果。通过 GitHub 安装,支持主流宿主环境,建议建立技能评估标准。

skill-creator 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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/cdeistopened/skill-stack --skill skill-creator;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/cdeistopened/skill-stack --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 196 次,近一周安装 8 次,下载 63 次,GitHub 9 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。

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
skill-creator

技能创建器 · 本页

1969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

Create effective skills that extend Claude's capabilities with specialized knowledge, workflows, and tools.

About Skills

Skills are modular, self-contained packages that extend Claude's capabilities by providing specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific domains or tasks - they transform Claude from 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 tasks

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)

Bundled Resources

Scripts (scripts/)

Executable code for tasks requiring deterministic reliability or repeated execution.

  • When to include: Same code rewritten repeatedly, or deterministic reliability needed
  • Example: scripts/rotate_pdf.py for PDF rotation tasks
  • Benefits: Token efficient, deterministic, may execute without loading into context

References (references/)

Documentation and reference material loaded as needed into context.

  • When to include: Documentation Claude should reference while working
  • Examples: Database schemas, API docs, domain knowledge, company policies
  • Best practice: If >10k words, include grep search patterns in SKILL.md
  • Avoid duplication: Information lives in SKILL.md OR references, not both

Assets (assets/)

Files used within output Claude produces (not loaded into context).

  • When to include: Files needed in final output
  • Examples: Templates, images, icons, boilerplate code, fonts
  • Benefits: Separates output resources from documentation

Progressive Disclosure Design

Skills use a three-level loading system to manage context efficiently:

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

*Unlimited because scripts can execute without reading into context.


Skill Creation Process

Follow these steps in order, skipping only if clearly not applicable.

Step 1: Understand the Skill with Concrete Examples

Goal: Clearly understand how the skill will be used.

Ask questions like:

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

Conclude when: You have a clear sense of the functionality the skill should support.

Step 2: Plan the Reusable Skill Contents

Goal: Identify what scripts, references, and assets would be helpful.

For each example use case:

  1. Consider how to execute it from scratch
  2. Identify what would be helpful when executing repeatedly

Example analysis:

SkillUse CaseReusable Resource
pdf-editor"Rotate this PDF"scripts/rotate_pdf.py
frontend-builder"Build me a todo app"assets/hello-world/ template
big-query"How many users logged in?"references/schema.md documentation

Conclude with: A list of reusable resources to include (scripts, references, assets).

Step 3: Initialize the Skill

Run the initialization script to create the skill structure:

scripts/init_skill.py <skill-name> --path <output-directory>

The script creates:

  • Skill directory at specified path
  • SKILL.md template with proper frontmatter and TODO placeholders
  • Example resource directories: scripts/, references/, assets/
  • Example files that can be customized or deleted

Skip this step if: Updating an existing skill (proceed to Step 4).

Step 4: Edit the Skill

Remember: The skill is for another Claude instance to use. Include information that would be beneficial and non-obvious.

Start with Reusable Contents
  1. Create the identified scripts, references, and assets
  2. Delete example files/directories not needed
  3. Request user input if needed (e.g., brand assets, documentation)
Update SKILL.md

Writing Style: Use imperative/infinitive form (verb-first instructions), not second person.

  • ✅ "To accomplish X, do Y"
  • ❌ "You should do X"

Answer these questions:

  1. What is the purpose of the skill? (few sentences)
  2. When should the skill be used?
  3. How should Claude use the skill? (reference all bundled resources)

Metadata Quality: The name and description in YAML frontmatter determine when Claude uses the skill. Be specific about what the skill does and when to use it. Use third-person:

  • ✅ "This skill should be used when..."
  • ❌ "Use this skill when..."

Step 5: Package the Skill

Package into a distributable zip file:

scripts/package_skill.py <path/to/skill-folder>

Optional output directory:

scripts/package_skill.py <path/to/skill-folder> ./dist

The script will:

  1. Validate - Check YAML frontmatter, naming conventions, structure
  2. Package - Create zip file with proper directory structure

If validation fails, fix errors and run again.

Step 6: Iterate

After testing the skill:

  1. Use the skill on real tasks
  2. Notice struggles or inefficiencies
  3. Identify how SKILL.md or resources should be updated
  4. Implement changes and test again

SKILL.md Template

---
name: skill-name
description: Brief description of what this skill does and when to use it. Use third-person (e.g., "This skill should be used when..."). Be specific about triggers and use cases.
---

# Skill Name

[One paragraph explaining the skill's purpose and core philosophy]

## Purpose

[What this skill accomplishes]

## When to Use This Skill

- [Trigger 1]
- [Trigger 2]
- [Trigger 3]

**Not for:** [What this skill should NOT be used for]

---

## Workflow

### Step 1: [First Step]
[Instructions]

### Step 2: [Second Step]
[Instructions]

[Continue as needed]

---

## Bundled Resources

- `scripts/[name].py` - [What it does]
- `references/[name].md` - [What it contains]
- `assets/[name]/` - [What it includes]

---

## Related Skills

- **skill-name** - [How it relates]

---

*[Brief closing note or key reminder]*

Best Practices

SKILL.md Guidelines

  • Keep it focused: One clear purpose per skill
  • Be specific about triggers: When should this skill activate?
  • Use imperative voice: "To do X, do Y" not "You should do X"
  • Reference all resources: Explain how to use bundled scripts/references/assets
  • Include examples: Show expected inputs and outputs
  • Add quality checks: Checklists for validating output

Frontmatter Best Practices

  • name: Lowercase, hyphenated (e.g., anti-ai-writing)
  • description: 1-3 sentences, third-person, specific triggers

- ✅ "This skill transforms raw transcripts into polished documents. Use when processing podcast or interview recordings." - ❌ "A transcript processing skill"

Resource Organization

  • scripts/: Executable code only, no documentation
  • references/: Documentation only, loaded as needed
  • assets/: Output resources only, never loaded into context

Context Management

  • Keep SKILL.md under 5k words
  • Move detailed reference material to references/
  • Include grep patterns for large reference files
  • Avoid duplication between SKILL.md and references

Common Patterns

Workflow Skills

## Workflow

### Phase 1: [Name]
**Goal:** [What this phase accomplishes]

#### Step 1: [Action]
[Instructions]

#### Step 2: [Action]
[Instructions]

### Phase 2: [Name]
[Continue...]

Reference Skills (Knowledge Base)

## Key Concepts

### [Concept 1]
[Explanation]

### [Concept 2]
[Explanation]

## When to Apply

[Guidance on when to use this knowledge]

Tool Integration Skills

## Setup

[Prerequisites and installation]

## Usage

### [Command/Function 1]

[Example command]


[Explanation]

### [Command/Function 2]

[Continue...]

Bundled Scripts

This skill includes helper scripts:

  • scripts/init_skill.py - Initialize new skill with template structure
  • scripts/package_skill.py - Validate and package skill for distribution
  • scripts/quick_validate.py - Quick validation check

Usage

# Initialize new skill
./scripts/init_skill.py my-new-skill --path ./skills/

# Package for distribution
./scripts/package_skill.py ./skills/my-new-skill

# Quick validation
./scripts/quick_validate.py ./skills/my-new-skill

Related Skills

  • voice-analyzer - Create voice style skills
  • anti-ai-writing - Example of a well-structured skill

*Skills are modular, self-contained, and focused. One clear purpose, specific triggers, and all resources referenced in SKILL.md.*

平台分布

Codex

35%
按下载量换算22

Claude

28.95%
按下载量换算18

Cursor

19.55%
按下载量换算12

Gemini CLI

8.91%
按下载量换算6

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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