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claude-code-skillsClaude 代码 skills

Agent Skill

claude-code-skills 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。

总安装

753

周安装

32

GitHub Stars

60

下载量

264
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:claude-code-skills(Claude 代码 skills)
来源仓库:https://github.com/vasilyu1983/ai-agents-public
仓库路径:skills/claude-code-skills
安装命令:
npx skills add https://github.com/vasilyu1983/ai-agents-public --skill claude-code-skills
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/vasilyu1983/ai-agents-public --skill claude-code-skills

简介

claude-code-skills 作为元参考技能,定义技能创建、组织与维护的标准架构。

  • 适用于构建新技能或优化现有结构,提供 SKILL.md、scripts、references 等组件规范。
  • 跨平台兼容性强,已被 Claude Code、Codex CLI、Gemini 等主流宿主采纳为标准。
  • 开发时应遵循最小必要原则,避免过度设计影响可维护性与加载性能。
  • 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。

SKILL.md

Claude Code Skills - Meta Reference

This skill provides the definitive reference for creating, organizing, and maintaining Claude Code skills. Use this when building new skills or improving existing skill architecture.

Quick Reference

ComponentPurposeRequired
SKILL.mdMain reference file with frontmatterYes
scripts/Executable code (runs, not loaded)Optional
references/Documentation (loaded on-demand)Recommended
assets/Output files (templates, icons)Optional
data/sources.jsonCurated external linksRecommended

Cross-Platform: Agent Skills standard adopted by Claude Code, Codex CLI, Gemini CLI, and VS Code Copilot. Skills are portable across platforms.

Skill Structure

skills/
└── skill-name/
    ├── SKILL.md           # Main reference (required)
    ├── scripts/           # Executable code (Python/Bash) - runs, not loaded
    │   └── validate.py
    ├── references/        # Documentation loaded into context on-demand
    │   ├── patterns.md
    │   └── examples.md
    ├── assets/            # Files for OUTPUT (templates, icons, fonts)
    │   └── template.html
    └── data/
        └── sources.json   # External references

Directory purposes:

  • scripts/ - Executable code; output consumed, code never loads into context
  • references/ - Documentation loaded into context when the agent needs it
  • assets/ - Files used in generated output (not loaded into context)

SKILL.md Template

---
name: skill-name
description: One-line description of what this skill provides and when to use it
---

# Skill Name - Quick Reference

Brief overview of the skill's purpose and value.

## Quick Reference

| Task | Tool/Method | When to Use |
|------|-------------|-------------|
| Task 1 | Tool A | Context for usage |

## When to Use This Skill

The assistant should invoke this skill when a user requests:

- Use case 1
- Use case 2
- Use case 3

## Core Concepts

### Concept 1

Explanation with code example:

\`\`\`language
code example
\`\`\`

### Concept 2

Additional patterns...

## Navigation

**Resources**
- [references/skill-patterns.md](references/skill-patterns.md) - Common patterns
- [references/skill-validation.md](references/skill-validation.md) - Validation criteria

**Related Skills**
- [../claude-code-agents/SKILL.md](../claude-code-agents/SKILL.md) - Agent creation

Progressive Disclosure

Skills use progressive disclosure to optimize token usage:

LayerContentToken Cost
DiscoveryName + description only~50 tokens
ActivationFull SKILL.md body2K-5K tokens
Executionscripts/, references/, assets/On-demand

Pattern: SKILL.md provides overview -> Resources load only when needed

Limits: Keep SKILL.md under 500 lines (<5K tokens)

When to Split Content

Keep in SKILL.mdMove to references/
Decision treesFull API references
Quick commandsStep-by-step tutorials
Common patternsEdge case handling
1-2 code examplesComplete implementations

Frontmatter Specification

---
name: string                        # Required: lowercase-kebab-case, matches folder name
description: string                 # Required: PRIMARY trigger mechanism (50-300 chars)
disable-model-invocation: boolean   # Optional: Only user can invoke (for /deploy, /commit)
user-invocable: boolean             # Optional: false = background knowledge only
---

Name rules:

  • Use kebab-case: ai-llm, not AI_LLM_Engineering
  • Match folder name exactly
  • Be specific: software-backend not backend

Description rules (PRIMARY TRIGGER):

  • Description is the primary triggering mechanism - the runtime uses it to decide when to invoke
  • Include "when to use" context HERE, not in the body
  • Single line, 50-300 characters
  • Include key technologies/concepts as trigger keywords

Optional frontmatter:

  • disable-model-invocation: true - Only user can invoke (for workflows with side effects: /commit, /deploy, /send-slack)
  • user-invocable: false - Not user-invocable (background knowledge only; runtime-dependent)

Skill Categories

CategoryPrefixExamples
AI/MLai-ai-llm, ai-ml-data-science
Softwaresoftware-software-backend, software-frontend
Operationsops-ops-devops-platform
Datadata-data-lake-platform, data-sql-optimization
Qualityqa-qa-debugging, qa-docs-coverage
Developer Toolsdev-, git-dev-api-design, git-commit-message, dev-workflow-planning
Productproduct-product-management, docs-ai-prd
Documentdocument-document-pdf, document-xlsx
Testingtesting-, qa-testing-qa-testing-playwright, qa-testing-strategy
Marketingmarketing-marketing-social-media, marketing-seo-complete
Claude Codeclaude-code-claude-code-agents, claude-code-skills

sources.json Schema

{
  "metadata": {
    "title": "Skill Name - Sources",
    "description": "Brief description",
    "last_updated": "YYYY-MM-DD",
    "skill": "skill-name"
  },
  "category_name": [
    {
      "name": "Resource Name",
      "url": "https://example.com/docs",
      "description": "What this covers",
      "add_as_web_search": true
    }
  ]
}

Categories should group logically:

  • official_documentation
  • tutorials
  • community_resources
  • tools_and_libraries

Quality Checklist

SKILL VALIDATION CHECKLIST

Frontmatter:
[ ] name matches folder name (kebab-case)
[ ] description is concise and actionable

Structure:
[ ] SKILL.md under 500 lines (split into references/ if needed)
[ ] references/ for detailed content
[ ] data/sources.json with curated links

Content:
[ ] Quick reference table at top
[ ] "When to Use" section present
[ ] Code examples are copy-paste ready
[ ] Related skills linked at bottom

Quality:
[ ] >40% operational content (code, tables, checklists)
[ ] <50% prose paragraphs
[ ] All URLs are live (no 404s)
[ ] Sources updated within 6 months

Multi-Tech vs Single-Tech Skills

Single-Tech Skill

software-backend/
├── SKILL.md              # Node.js focus
└── references/
    └── nodejs-patterns.md

Multi-Tech Skill

software-backend/
├── SKILL.md              # Overview + decision tree
├── references/
│   ├── nodejs-patterns.md
│   ├── go-patterns.md
│   ├── rust-patterns.md
│   └── python-patterns.md
└── assets/
    ├── nodejs/
    ├── go/
    ├── rust/
    └── python/

Navigation

Resources

Related Skills

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

Claude Code

26.44%
按下载量换算70

Cursor

24.54%
按下载量换算65

Gemini CLI

18.3%
按下载量换算48

Antigravity

12.52%
按下载量换算33

OpenCode

7.16%
按下载量换算19

Codex

3.61%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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