skill-creator

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Skill Creator

This skill provides guidance for creating effective skills.

本Skill为创建高效Skill提供指导。

About Skills

关于Skills

Skills are modular, self-contained packages that extend ChatGPT's capabilities by providing specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific domains or tasks—they transform ChatGPT from a general-purpose agent into a specialized agent equipped with procedural knowledge that no model can fully possess.

Skills是模块化、独立的软件包，可通过提供专业知识、工作流和工具来扩展ChatGPT的能力。可以将它们视为特定领域或任务的“入门指南”——它们将ChatGPT从通用Agent转变为具备过程知识的专业Agent，而这类知识是任何模型都无法完全拥有的。

What Skills Provide

Skill能提供什么

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

专业工作流 - 特定领域的多步骤流程
工具集成 - 处理特定文件格式或API的操作说明
领域专业知识 - 公司专属知识、架构、业务逻辑
捆绑资源 - 用于复杂重复任务的脚本、参考资料和资产

Anatomy of a Skill

Skill的结构

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 intended to be loaded into context as needed
    └── assets/           - Files used in output (templates, icons, fonts, etc.)

每个Skill都包含一个必填的SKILL.md文件和可选的捆绑资源：

skill-name/
├── SKILL.md (required)
│   ├── YAML frontmatter metadata (required)
│   │   ├── name: (required)
│   │   └── description: (required)
│   └── Markdown instructions (required)
└── Bundled Resources (optional)
    ├── scripts/          - 可执行代码（Python/Bash等）
    ├── references/       - 可根据需要加载到上下文的文档
    └── assets/           - 输出中使用的文件（模板、图标、字体等）

SKILL.md (required)

SKILL.md（必填）

Metadata Quality: The

name

and

description

in YAML frontmatter determine when ChatGPT will use the skill. Be specific about what the skill does and when to use it. Use the third-person (e.g. "This skill should be used when..." instead of "Use this skill when...").

元数据质量：YAML前置元数据中的

name

和

description

决定了ChatGPT何时会使用该Skill。请明确说明Skill的功能及适用场景。使用第三人称表述（例如：“当...时应使用本Skill”而非“当...时使用本Skill”）。

Bundled Resources (optional)

捆绑资源（可选）

Scripts (

scripts/

)

脚本（

scripts/

）

Executable code (Python/Bash/etc.) for tasks that require deterministic reliability or are repeatedly rewritten.

When to include: When the same code is being rewritten repeatedly or deterministic reliability is needed
Example:
```
scripts/rotate_pdf.py
```
for PDF rotation tasks
Benefits: Token efficient, deterministic, may be executed without loading into context
Note: Scripts may still need to be read by ChatGPT for patching or environment-specific adjustments

用于需要确定性可靠性或需重复编写的任务的可执行代码（Python/Bash等）。

适用场景：当相同代码需重复编写，或需要确定性可靠性时
示例：用于PDF旋转任务的
```
scripts/rotate_pdf.py
```
优势：令牌效率高、结果确定，无需加载到上下文即可执行
注意：ChatGPT可能仍需读取脚本以进行补丁或针对特定环境调整

References (

references/

)

参考资料（

references/

）

Documentation and reference material intended to be loaded as needed into context to inform ChatGPT's process and thinking.

When to include: For documentation that ChatGPT should reference while working
Examples:
```
references/finance.md
```
for financial schemas,
```
references/mnda.md
```
for company NDA template,
```
references/policies.md
```
for company policies,
```
references/api_docs.md
```
for API specifications
Use cases: Database schemas, API documentation, domain knowledge, company policies, detailed workflow guides
Benefits: Keeps SKILL.md lean, loaded only when ChatGPT determines it's needed
Best practice: If files are large (>10k words), include grep search patterns in SKILL.md
Avoid duplication: Information should live in either SKILL.md or references files, not both. Prefer references files for detailed information unless it's truly core to the skill—this keeps SKILL.md lean while making information discoverable without hogging the context window. Keep only essential procedural instructions and workflow guidance in SKILL.md; move detailed reference material, schemas, and examples to references files.

可根据需要加载到上下文的文档和参考资料，用于指导ChatGPT的流程和思考。

适用场景：ChatGPT在工作中需要参考的文档
示例：用于财务架构的
```
references/finance.md
```
、用于公司NDA模板的
```
references/mnda.md
```
、用于公司政策的
```
references/policies.md
```
、用于API规范的
```
references/api_docs.md
```
使用案例：数据库架构、API文档、领域知识、公司政策、详细工作流指南
优势：保持SKILL.md简洁，仅在ChatGPT判定需要时加载
最佳实践：如果文件较大（>10000字），请在SKILL.md中包含grep搜索模式
避免重复：信息应仅存在于SKILL.md或参考文件中，不可重复。除非是Skill的核心内容，否则优先将详细信息放在参考文件中——这样既能保持SKILL.md简洁，又能让信息在不占用上下文窗口的情况下被检索到。仅将必要的过程说明和工作流指导保留在SKILL.md中；将详细参考资料、架构和示例移至参考文件。

Assets (

assets/

)

资产（

assets/

）

Files not intended to be loaded into context, but rather used within the output ChatGPT produces.

When to include: When the skill needs files that will be used in the final output
Examples:
```
assets/logo.png
```
for brand assets,
```
assets/slides.pptx
```
for PowerPoint templates,
```
assets/frontend-template/
```
for HTML/React boilerplate,
```
assets/font.ttf
```
for typography
Use cases: Templates, images, icons, boilerplate code, fonts, sample documents that get copied or modified
Benefits: Separates output resources from documentation, enables ChatGPT to use files without loading them into context

无需加载到上下文，而是用于ChatGPT生成的输出中的文件。

适用场景：Skill需要用于最终输出的文件时
示例：品牌资产
```
assets/logo.png
```
、PowerPoint模板
```
assets/slides.pptx
```
、HTML/React样板代码
```
assets/frontend-template/
```
、字体
```
assets/font.ttf
```
使用案例：模板、图片、图标、样板代码、字体、可复制或修改的示例文档
优势：将输出资源与文档分离，使ChatGPT无需加载到上下文即可使用文件

Progressive Disclosure Design Principle

渐进式披露设计原则

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

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

*Unlimited because scripts can be executed without reading into context window.

Skills采用三级加载系统以高效管理上下文：

元数据（名称+描述） - 始终在上下文中（约100词）
SKILL.md主体 - 当Skill被触发时（<5000词）
捆绑资源 - 由ChatGPT按需加载（*无限制）

*无限制是因为脚本可在不读取到上下文窗口的情况下执行。

Skill Creation Process

Skill创建流程

To create a skill, follow the "Skill Creation Process" in order, skipping steps only if there is a clear reason why they are not applicable.

创建Skill时，请按“Skill创建流程”顺序执行，仅当明确某步骤不适用时才可跳过。

Step 1: Understanding the Skill with Concrete Examples

步骤1：通过具体示例理解Skill

Skip this step only when the skill's usage patterns are already clearly understood. It remains valuable even when working with an existing skill.

To create an effective skill, clearly understand concrete examples of how the skill will be used. This understanding can come from either direct user examples or generated examples that are validated with user feedback.

For example, when building an image-editor skill, relevant questions include:

"What functionality should the image-editor skill support? Editing, rotating, anything else?"
"Can you give some examples of how this skill would be used?"
"I can imagine users asking for things like 'Remove the red-eye from this image' or 'Rotate this image'. Are there other ways you imagine this skill being used?"
"What would a user say that should trigger this skill?"

To avoid overwhelming users, avoid asking too many questions in a single message. Start with the most important questions and follow up as needed for better effectiveness.

Conclude this step when there is a clear sense of the functionality the skill should support.

仅当Skill的使用模式已清晰明确时才可跳过此步骤。即使是处理现有Skill，此步骤仍有价值。

要创建高效Skill，需清晰理解Skill的具体使用示例。这种理解可来自直接的用户示例，或经用户反馈验证的生成示例。

例如，在构建图像编辑器Skill时，相关问题包括：

“图像编辑器Skill应支持哪些功能？编辑、旋转，还是其他？”
“能否举例说明该Skill的使用场景？”
“我能想到用户会提出‘去除这张图片的红眼’或‘旋转这张图片’之类的请求。你认为还有其他使用场景吗？”
“用户说什么话时应该触发这个Skill？”

为避免使用户感到负担，请勿在单条消息中提出过多问题。从最重要的问题开始，必要时再跟进以提升效果。

当明确Skill应支持的功能时，即可结束此步骤。

Step 2: Planning the Reusable Skill Contents

步骤2：规划可复用的Skill内容

To turn concrete examples into an effective skill, analyze each example by:

Considering how to execute on the example from scratch
Identifying what scripts, references, and assets would be helpful when executing these workflows repeatedly

Example: When building a

pdf-editor

skill to handle queries like "Help me rotate this PDF," the analysis shows:

Rotating a PDF requires re-writing the same code each time
A
```
scripts/rotate_pdf.py
```
script would be helpful to store in the skill

Example: When designing a

frontend-webapp-builder

skill for queries like "Build me a todo app" or "Build me a dashboard to track my steps," the analysis shows:

Writing a frontend webapp requires the same boilerplate HTML/React each time
An
```
assets/hello-world/
```
template containing the boilerplate HTML/React project files would be helpful to store in the skill

Example: When building a

big-query

skill to handle queries like "How many users have logged in today?" the analysis shows:

Querying BigQuery requires re-discovering the table schemas and relationships each time
A
```
references/schema.md
```
file documenting the table schemas would be helpful to store in the skill

To establish the skill's contents, analyze each concrete example to create a list of the reusable resources to include: scripts, references, and assets.

要将具体示例转化为高效Skill，请按以下步骤分析每个示例：

考虑如何从头开始执行该示例
确定哪些脚本、参考资料和资产在重复执行这些工作流时会有帮助

示例：在构建处理“帮我旋转这个PDF”这类查询的

pdf-editor

Skill时，分析显示：

旋转PDF需要重复编写相同代码
将
```
scripts/rotate_pdf.py
```
脚本存储在Skill中会很有帮助

示例：在设计处理“帮我构建一个待办事项应用”或“帮我构建一个追踪步数的仪表板”这类查询的

frontend-webapp-builder

Skill时，分析显示：

构建前端Web应用需要重复编写相同的HTML/React样板代码
将包含HTML/React项目样板文件的
```
assets/hello-world/
```
模板存储在Skill中会很有帮助

示例：在构建处理“今天有多少用户登录？”这类查询的

big-query

Skill时，分析显示：

查询BigQuery需要反复查找表架构和关系
将记录表架构的
```
references/schema.md
```
文件存储在Skill中会很有帮助

要确定Skill的内容，请分析每个具体示例，列出需包含的可复用资源：脚本、参考资料和资产。

Step 3: Initializing the Skill

步骤3：初始化Skill

At this point, it is time to actually create the skill.

Skip this step only if the skill being developed already exists, and iteration or packaging is needed. In this case, continue to the next step.

When creating a new skill from scratch, always run the

init_skill.py

script. The script conveniently generates a new template skill directory that automatically includes everything a skill requires, making the skill creation process much more efficient and reliable.

Usage:

bash

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

The script:

Creates the skill directory at the specified path
Generates a SKILL.md template with proper frontmatter and TODO placeholders
Creates example resource directories:
```
scripts/
```
,
```
references/
```
, and
```
assets/
```
Adds example files in each directory that can be customized or deleted

After initialization, customize or remove the generated SKILL.md and example files as needed.

此时即可实际创建Skill。

仅当正在开发的Skill已存在，且需要迭代或打包时才可跳过此步骤。这种情况下，请直接进入下一步。

从头创建新Skill时，请务必运行

init_skill.py

脚本。该脚本可便捷地生成新的Skill目录模板，自动包含Skill所需的全部内容，使Skill创建过程更高效、可靠。

使用方法：

bash

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

该脚本会：

在指定路径创建Skill目录
生成带有正确前置元数据和待办事项占位符的SKILL.md模板
创建示例资源目录：
```
scripts/
```
、
```
references/
```
和
```
assets/
```
在每个目录中添加可自定义或删除的示例文件

初始化完成后，根据需要自定义或删除生成的SKILL.md和示例文件。

Step 4: Edit the Skill

步骤4：编辑Skill

When editing the (newly-generated or existing) skill, remember that the skill is being created for another instance of ChatGPT to use. Focus on including information that would be beneficial and non-obvious to ChatGPT. Consider what procedural knowledge, domain-specific details, or reusable assets would help another ChatGPT instance execute these tasks more effectively.

编辑（新生成或现有）Skill时，请记住该Skill是供另一个ChatGPT实例使用的。重点包含对ChatGPT有益且非显而易见的信息。思考哪些过程知识、领域特定细节或可复用资产能帮助另一个ChatGPT实例更有效地执行这些任务。

Start with Reusable Skill Contents

从可复用Skill内容开始

To begin implementation, start with the reusable resources identified above:

scripts/

references/

, and

assets/

files. Note that this step may require user input. For example, when implementing a

brand-guidelines

skill, the user may need to provide brand assets or templates to store in

assets/

, or documentation to store in

references/

Also, delete any example files and directories not needed for the skill. The initialization script creates example files in

scripts/

references/

, and

assets/

to demonstrate structure, but most skills won't need all of them.

开始实现时，先处理上述确定的可复用资源：

scripts/

、

references/

和

assets/

文件。请注意，此步骤可能需要用户输入。例如，在实现

brand-guidelines

Skill时，用户可能需要提供品牌资产或模板以存储在

assets/

中，或提供文档以存储在

references/

中。

此外，请删除Skill不需要的示例文件和目录。初始化脚本会在

scripts/

、

references/

和

assets/

中创建示例文件以展示结构，但大多数Skill并不需要所有这些文件。

Update SKILL.md

更新SKILL.md

Writing Style: Write the entire skill using imperative/infinitive form (verb-first instructions), not second person. Use objective, instructional language (e.g., "To accomplish X, do Y" rather than "You should do X" or "If you need to do X"). This maintains consistency and clarity for AI consumption.

To complete SKILL.md, answer the following questions:

What is the purpose of the skill, in a few sentences?
When should the skill be used?
In practice, how should ChatGPT use the skill? All reusable skill contents developed above should be referenced so that ChatGPT knows how to use them.

写作风格：整个Skill请使用祈使/不定式形式（动词开头的指令），而非第二人称。使用客观、指导性的语言（例如：“要完成X，请执行Y”而非“你应该做X”或“如果你需要做X”）。这样可保持AI读取时的一致性和清晰度。

要完成SKILL.md，请回答以下问题：

Skill的用途是什么？请用几句话说明。
何时应使用该Skill？
实际上，ChatGPT应如何使用该Skill？需引用上述开发的所有可复用Skill内容，以便ChatGPT了解使用方法。

Step 5: Packaging a Skill

步骤5：打包Skill

Once the skill is ready, it should be packaged into a distributable zip file that gets shared with the user. The packaging process automatically validates the skill first to ensure it meets all requirements:

bash

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

Optional output directory specification:

bash

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

The packaging script will:

Validate the skill automatically, checking:
- YAML frontmatter format and required fields
- Skill naming conventions and directory structure
- Description completeness and quality
- File organization and resource references
Package the skill if validation passes, creating a zip file named after the skill (e.g.,
```
my-skill.zip
```
) that includes all files and maintains the proper directory structure for distribution.

If validation fails, the script will report the errors and exit without creating a package. Fix any validation errors and run the packaging command again.

Skill准备就绪后，应将其打包为可分发的zip文件并与用户共享。打包过程会先自动验证Skill，确保其符合所有要求：

bash

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

可选指定输出目录：

bash

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

打包脚本会：

自动验证Skill，检查：
- YAML前置元数据格式及必填字段
- Skill命名规范和目录结构
- 描述的完整性和质量
- 文件组织和资源引用情况
打包Skill（若验证通过），创建以Skill命名的zip文件（例如：
```
my-skill.zip
```
），包含所有文件并保持正确的目录结构以便分发。

若验证失败，脚本会报告错误并退出，不创建包。修复所有验证错误后，重新运行打包命令。

Step 6: Iterate

步骤6：迭代

After testing the skill, users may request improvements. Often this happens right after using the skill, with fresh context of how the skill performed.

Iteration workflow:

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

测试Skill后，用户可能会要求改进。通常这会发生在使用Skill后不久，此时用户对Skill的表现有清晰的印象。

迭代工作流：

在实际任务中使用Skill
注意遇到的困难或低效之处
确定应如何更新SKILL.md或捆绑资源
实施更改并再次测试

skill-creator

Original

Translation

Skill Creator

Skill Creator

About Skills

关于Skills

What Skills Provide

Skill能提供什么

Anatomy of a Skill

Skill的结构

SKILL.md (required)

SKILL.md（必填）

Bundled Resources (optional)

捆绑资源（可选）

Scripts (scripts/)

脚本（scripts/）

References (references/)

参考资料（references/）

Assets (assets/)

资产（assets/）

Progressive Disclosure Design Principle

渐进式披露设计原则

Skill Creation Process

Skill创建流程

Step 1: Understanding the Skill with Concrete Examples

步骤1：通过具体示例理解Skill

Step 2: Planning the Reusable Skill Contents

步骤2：规划可复用的Skill内容

Step 3: Initializing the Skill

步骤3：初始化Skill

Step 4: Edit the Skill

步骤4：编辑Skill

Start with Reusable Skill Contents

从可复用Skill内容开始

Update SKILL.md

更新SKILL.md

Step 5: Packaging a Skill

步骤5：打包Skill

Step 6: Iterate

步骤6：迭代

Scripts (
`scripts/`
)

脚本（
`scripts/`
）

References (
`references/`
)

参考资料（
`references/`
）

Assets (
`assets/`
)

资产（
`assets/`
）