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skill-authoring技能创作

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

214

周安装

9

GitHub Stars

10

下载量

75
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

2

许可证

unknown

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:skill-authoring(技能创作)
来源仓库:https://github.com/aspiers/ai-config
仓库路径:skills/skill-authoring
安装命令:
npx skills add https://github.com/aspiers/ai-config --skill skill-authoring
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/aspiers/ai-config --skill skill-authoring

简介

skill-authoring 用于创建符合 Anthropic 官方最佳实践的 Claude Code 技能模板与结构指南。

  • 适用于从零开始构建技能、优化现有技能结构或排查技能发现与性能问题。
  • 强调简洁高效,避免冗余解释,聚焦核心功能与 token 经济性原则。
  • 输出仅为参考框架,实际部署前需结合具体用例验证其适用性与安全性边界。
  • 不得将工具建议直接当作生产级解决方案,尤其涉及密钥、用户数据等高风险场景。

SKILL.md

Skill Authoring

Create effective Claude Code skills that follow Anthropic's official best practices and guidelines.

When to Use This Skill

Use this skill when:

  • Creating new skills from scratch
  • Refactoring existing skills for better structure
  • Ensuring skills follow Anthropic guidelines
  • Troubleshooting skill discovery or performance issues
  • Optimizing skills for token efficiency

Core Principles

1. Concise is Key

  • Context window is shared - be economical with tokens
  • Assume Claude is already smart - don't over-explain basics
  • Challenge every piece of information: "Does this justify its token cost?"

2. Progressive Disclosure

Skills load in three tiers:

  • Level 1: Metadata (name/description) - always loaded (~100 tokens/skill)
  • Level 2: SKILL.md body - loaded when triggered (<500 lines recommended)
  • Level 3: Reference files/scripts - loaded/executed as needed

3. Appropriate Freedom Levels

  • High freedom: Text instructions for flexible, context-dependent tasks
  • Medium freedom: Parameterized scripts with some variation
  • Low freedom: Specific scripts for fragile, error-prone operations

Skill Structure

Required Files

Each skill is a directory containing a SKILL.md file. Multiple locations are scanned, in order of preference:

Project-local (walked up from cwd to git worktree root):

  • .agents/skills/<name>/SKILL.md — preferred cross-platform standard
  • .claude/skills/<name>/SKILL.md — Claude-compatible
  • .opencode/skills/<name>/SKILL.md — OpenCode-specific

Global (user home):

  • ~/.agents/skills/<name>/SKILL.md
  • ~/.claude/skills/<name>/SKILL.md
  • ~/.config/opencode/skills/<name>/SKILL.md

Use .agents/skills/ for new skills — it is the emerging cross-platform standard supported by Claude Code, OpenCode, and other agents.

.agents/skills/skill-name/
├── SKILL.md (required - instructions + metadata)
└── Optional bundled resources:
    ├── scripts/     - Executable code (Python/Bash/etc.)
    ├── references/  - Documentation loaded as needed
    └── assets/      - Files for output (templates, images)

YAML Frontmatter Requirements

---
name: skill-name-here          # lowercase, hyphens, max 64 chars
description: What + When       # max 1024 chars, include trigger contexts
---

Critical: Description must include both WHAT the skill does AND WHEN to use it. Include:

  • Task types (create, analyze, process)
  • File types (.pdf,.docx,.json)
  • Keywords users might mention
  • Specific trigger contexts

Example SKILL.md

N.B. The following example is indented here so that triple backticks can be included within the example, but when creating / editing a SKILL.md, most of it should not be indented.

Note also that SKILL.md files do not necessarily need to provide and use helper tools; however it's included this example skill for illustrative purposes.

---
name: example-skill
description: Process example files with specific formatting. Use when users mention examples, processing, or .example files.
---

# Example Skill

Process example files following consistent patterns.

## When to Use This Skill

- When processing .example files
- When users ask about example formatting
- When converting example formats

## How It Works

1. Read the input file using the example-parser tool
2. Apply formatting rules from references/rules.md
3. Write output to destination

## Usage

python scripts/process_example.py input.example output.txt


## How to use the example-parser tool

from example_parser import parse

result = parse("data.example") print(result.summary)


## Reference Files

- [Formatting Rules](references/rules.md)
- [Parser Documentation](references/parser.md)

Best Practices

Naming Conventions

Use gerunds or gerundial nouns:

  • Gerunds (verb + -ing): processing-pdfs, analyzing-spreadsheets, managing-databases
  • Gerundial nouns (verb-derived nouns): generation, authoring, initialization, management
  • processing-pdfs, generating-prps, authoring-skills
  • pdf-helper, data-utils, skill-creator

Writing Effective Descriptions

  • Write in third person (not "I can help" but "Processes files")
  • Include specific triggers: "Use when working with PDF files or when users mention PDFs, forms, or document extraction"
  • Be specific about capabilities and contexts

Progressive Disclosure Patterns

High-Level Guide with References

# PDF Processing

## Quick start

Extract text with pdfplumber:

import pdfplumber with pdfplumber.open("file.pdf") as pdf: text = pdf.pages[0].extract_text()


## Common Anti-Patterns to Avoid

### Over-Verbose Instructions

- ❌ Paragraphs explaining basic concepts Claude knows
- ✅ Concise examples that demonstrate patterns

### Deep Reference Nesting

- ❌ SKILL.md → file1.md → file2.md → file3.md
- ✅ SKILL.md → file1.md, file2.md, file3.md (one level deep)

### Time-Sensitive Content

- ❌ "Current best practice as of 2025"
- ✅ "Current best practice (see [UPDATES.md](https://github.com/aspiers/ai-config/blob/HEAD/.agents/skills/skill-authoring/references/updates.md))"

### Windows Path Usage

- ❌ `scripts\helper.py`
- ✅ `scripts/helper.py`

## Executable Scripts Best Practices

### Solve Problems, Don't Punt

Handle errors explicitly rather than letting Claude figure it out:

Good: Handle file not found

def process_file(path): try: with open(path) as f: return f.read() except FileNotFoundError: print(f"File {path} not found, creating default") with open(path, 'w') as f: f.write('') return ''


### Provide Utility Scripts

Pre-made scripts offer advantages:

- More reliable than generated code
- Save tokens (no need to load contents)
- Ensure consistency across uses

## References

For complete official guidelines, see:

- [Anthropic Skill Authoring Best Practices](https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices)
- [Skills Overview](https://platform.claude.com/docs/en/agents-and-tools/agent-skills/overview)
- [Progressive Disclosure Architecture](https://platform.claude.com/docs/en/agents-and-tools/agent-skills/overview#how-skills-work)

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

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

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

Codex

38.91%
按下载量换算29

Claude

30.3%
按下载量换算23

Cursor

18.75%
按下载量换算14

Gemini CLI

9.82%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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