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Agent Skill · 开发

creating-skill(创造技能)

creating-skill 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。

creating-skill 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 14,061。

总安装 760周安装 32GitHub Stars 119下载 266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:creating-skill(创造技能)
来源仓库:https://github.com/oaustegard/claude-skills
仓库路径:skills/creating-skill
安装命令:
npx skills add https://github.com/oaustegard/claude-skills --skill creating-skill
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/oaustegard/claude-skills --skill creating-skill

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。

creating-skill 用于创建可在多项目间复用的便携式专业知识模块。适合封装通用流程、操作指南或跨上下文激活的技能指令。不应用于项目特定任务或一次性操作,建议结合 crafting-instructions 决策框架使用。安装前需评估是否会触发自动加载或渐进式资源下载。

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/creating-skill

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/oaustegard/claude-skills --skill creating-skil…;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

creating-skill 怎么安装?

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

creating-skill 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。

creating-skill 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。

creating-skill 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。

creating-skill 用的人多吗?

公开数据是累计安装 760 次,近一周安装 32 次,下载 266 次,GitHub 119 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。

creating-skill 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
creating-skill

创造技能 · 本页

760119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

Creating Skills

Create portable, reusable expertise that extends Claude's capabilities across contexts.

When to Create Skills

Skills are appropriate when:

  • Capability needed across multiple projects/conversations
  • Procedural knowledge that applies broadly (not project-specific)
  • Instructions should activate automatically on trigger patterns
  • Want portable expertise that loads progressively on-demand

Not appropriate when:

  • Context is project-specific (use Project instructions instead)
  • One-off task (use standalone prompt instead)
  • See crafting-instructions skill for detailed decision framework

Skill Structure

Every skill is a directory containing:

  • SKILL.md (required): Frontmatter + imperative instructions
  • scripts/ (optional): Executable code for deterministic operations
  • references/ (optional): Detailed docs loaded on-demand
  • assets/ (optional): Templates/files used in output

Create this structure directly:

mkdir -p skill-name/{scripts,references,assets}

Delete unused directories before packaging.

Naming Convention

Use gerund form (verb + -ing):

  • ✅ processing-pdfs, analyzing-data, creating-reports
  • ❌ pdf-helper, data-tool, report-maker

Requirements:

  • Lowercase letters, numbers, hyphens only
  • Max 64 characters
  • No reserved words (anthropic, claude)

Frontmatter Requirements

---
name: skill-name
description: What it does. Use when [trigger patterns].
---

name: Follow naming convention above

description: (max 1024 chars)

  • Third person voice: "Processes files" not "I process files"
  • WHAT it does + WHEN to use it (trigger patterns)
  • Specify: file types, keywords, task types that should activate this skill
  • No XML tags

Good examples:

  • "Creates PowerPoint presentations. Use when users mention slides,.pptx files, or presentations."
  • "Analyzes SQL queries for performance. Use when debugging slow queries, optimization requests, or EXPLAIN output."

Ineffective examples:

  • "I can help create presentations" (first person, no triggers)
  • "Presentation creator" (no triggers, vague what)
  • "Advanced presentation creation with animations" (over-detailed implementation)

The description is critical—it determines when Claude activates this skill.

Writing Effective SKILL.md

Apply crafting-instructions principles:

Imperative Construction

Frame as direct commands:

  • ✅ "Extract text with pdfplumber" / "Validate output with script"
  • ❌ "Consider extracting..." / "You might want to validate..."

Strategic Over Procedural

Specify goals and decision frameworks, not step-by-step procedures:

  • ✅ "Create skill directory structure. Delete unused resource directories."
  • ❌ "Step 1: mkdir skill-name. Step 2: mkdir scripts. Step 3: mkdir references..."

Provide steps only when order is non-obvious or fragile.

Trust Base Behavior

Claude already knows:

  • Basic programming patterns, common tools, file operations
  • How to structure clear output, format markdown
  • General best practices for code quality

Only specify skill-specific deviations or domain expertise Claude lacks.

Positive Directive Framing

State what TO do, not what to avoid:

  • ✅ "Write in imperative voice with direct instructions"
  • ❌ "Don't use suggestive language or tentative phrasing"

Frame requirements positively because it's clearer and more actionable.

Provide Context

Explain WHY for non-obvious requirements:

  • ✅ "Keep SKILL.md under 500 lines to enable progressive loading—move detailed content to references/"
  • ❌ "Keep SKILL.md under 500 lines"

Context helps Claude make good autonomous decisions in edge cases.

Example Quality

Examples teach ALL patterns, including unintended ones. Ensure every aspect demonstrates desired behavior. Better to omit examples than include mixed signals.

For comprehensive prompting guidance, invoke crafting-instructions skill.

Bundled Resources Patterns

scripts/

Add when Claude would repeatedly write similar code:

  • Validation logic (schema checking, format verification)
  • Complex transformations (data normalization, format conversion)
  • Deterministic operations requiring exact consistency

Scripts should have explicit error handling and clear variable names.

references/

Add when:

  • SKILL.md approaching 500 lines
  • Detailed domain knowledge (API docs, schemas, specifications)
  • Content applies to specific use cases only, not core workflow

Keep references one level deep (avoid file1 → file2 → file3 chains).

assets/

Add for:

  • Templates users will receive in output
  • Files copied/referenced but not loaded into context
  • Images, fonts, static resources

Assets save tokens—they're used but not read into context.

Decision framework: Will Claude repeatedly generate similar code? → scripts/. Is there extensive domain knowledge? → references/. Are there output templates? → assets/. Otherwise SKILL.md only.

Progressive Disclosure

Skills load in three tiers:

  1. Metadata (name + description): Always loaded for all skills
  2. SKILL.md body: Loaded when skill activates
  3. Bundled resources: Loaded as Claude reads them

Keep SKILL.md focused on core workflows (~500 lines max). Move detailed content to references/ for on-demand loading. This enables context-efficient skill ecosystems.

Token Efficiency

Challenge each line: Does Claude really need this explanation? Can I assume Claude knows this? Does this justify its token cost?

Prefer concise patterns:

  • Code examples over verbose explanations
  • Decision frameworks over exhaustive lists
  • Strategic goals over procedural steps

Packaging & Delivery

Create ZIP archive:

cd /home/claude
zip -r /mnt/user-data/outputs/skill-name.zip skill-name/

Verify contents:

unzip -l /mnt/user-data/outputs/skill-name.zip

Show user the packaged structure:

tree skill-name/
# or
ls -lhR skill-name/

Provide download link:

[Download skill-name.zip](computer:///mnt/user-data/outputs/skill-name.zip)

Version Control (Optional)

For skills under active development, track changes:

cd /home/claude/skill-name
git init && git add . && git commit -m "Initial: skill structure"

After modifications:

git add . && git commit -m "Update: description of change"

See versioning-skills for advanced patterns (rollback, branching, comparison).

Best Practices

Structure:

  • Lead with clear overview of what skill enables
  • Group related instructions together
  • Use headings that describe goals, not procedures
  • Reference other skills/resources when appropriate

Instructions:

  • Write TO Claude (imperative commands) not ABOUT Claude (documentation)
  • Assume Claude's intelligence—avoid over-explaining basics
  • Show code examples for complex patterns
  • Specify success criteria, let Claude determine approach

Content:

  • Keep frequently-used guidance in SKILL.md
  • Move detailed/specialized content to references/
  • Include WHY context for non-obvious requirements
  • Use consistent terminology throughout

Resources:

  • Only add bundled resources that solve real problems
  • Scripts should have error handling and clear outputs
  • References should be focused and topic-specific
  • Delete unused directories before packaging

Testing:

  • Test with 3+ real scenarios (simple, complex, edge case)
  • Verify skill activates on expected trigger patterns
  • Confirm bundled resources are accessible and functional
  • Iterate based on actual usage, not assumptions

Quality Checklist

Before providing skill to user:

Metadata:

  • Name: lowercase, hyphens, gerund form, max 64 chars
  • Description: third person, includes WHAT + WHEN triggers, max 1024 chars, no XML

Structure:

  • SKILL.md under 500 lines (move extras to references/)
  • Unused directories deleted
  • References one level deep (no long chains)

Content:

  • Imperative voice throughout
  • Positive directives (not negative restrictions)
  • Strategic goals over procedural steps where possible
  • Context provided for non-obvious requirements
  • Examples perfectly demonstrate desired patterns
  • Consistent terminology

Resources:

  • Scripts solve actual problems (not punting to Claude)
  • Scripts have error handling and clear outputs
  • References are focused and topic-specific
  • Assets are templates/files for output

Testing:

  • Tested on 3+ real scenarios
  • Activates on expected triggers
  • Bundled resources accessible
  • Package structure verified

Advanced Topics

For complex skill patterns, see:

平台分布

Codex

36.21%
按下载量换算96

Claude

32.33%
按下载量换算86

Cursor

18.8%
按下载量换算50

Gemini CLI

8.86%
按下载量换算24

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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