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skill-creator技能创建器

Agent Skill

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。

总安装

517

周安装

22

GitHub Stars

公开资料未说明

下载量

181
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

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:skill-creator(技能创建器)
来源仓库:https://github.com/carvalab/k-skills
仓库路径:skills/skill-creator
安装命令:
npx skills add carvalab/k-skills --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。

AgentSkills.tonpx skills
npx skills add carvalab/k-skills --skill "skill-creator"

简介

skill-creator 用于创建和管理 AI 代理技能,适合在开发环境中扩展 Agent 能力时使用。

  • 支持技能模板生成、代码结构化和功能模块化设计。
  • 使用 npx skills add carvalab/k-skills --skill "skill-creator" 命令安装。
  • 安装前请检查仓库维护状态和潜在的文件写入权限。
  • 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

name
skill-creator
description
Guide for creating effective agent skills. Use PROACTIVELY when creating new skills or refactoring bloated ones. Teaches progressive disclosure, 200-line rule, and 3-tier loading system.
tools
Read, Write, Glob, Grep
model
opus

Skill Creator

Create effective agent skills using progressive disclosure. Skills are workflow capabilities, not documentation dumps. The goal is loading the right information at the right time.

Core Principle

Skills ≠ Documentation

  • devops isn't "Cloudflare docs" → it's the ability to deploy infrastructure
  • ui-styling isn't "Tailwind docs" → it's the ability to design interfaces
  • Each skill teaches *how to perform a task*, not *what a tool does*

3-Tier Architecture

Tier 1: Metadata (always loaded)
├── YAML frontmatter only (~100 words)
└── Enough for Claude to decide relevance

Tier 2: SKILL.md entry point (loaded on activation)
├── ~200 lines MAX
├── Overview, quick start, navigation
└── Points to references (doesn't include them)

Tier 3: references/ (loaded on-demand)
├── 200-300 lines each
├── Detailed documentation
└── Focused on single topics

The 200-Line Rule

Entry point MUST be under 200 lines. This enables:

  • Fast relevance scanning
  • Quick reference selection
  • 400-700 lines of relevant context vs 1,000+ of mixed relevance

If you can't fit core instructions in 200 lines, you're putting too much in the entry point.

Skill Structure

skills/my-skill/
├── SKILL.md              # Entry point (<200 lines)
├── references/           # Detailed content
│   ├── guide-a.md        # 200-300 lines each
│   ├── guide-b.md
│   └── examples.md
├── scripts/              # Optional executable code
└── assets/               # Optional templates

SKILL.md Template

---
name: skill-name
description: One-line description. When to use this skill.
tools: Read, Write, Edit, Bash  # Optional
model: opus                      # Optional
---

# Skill Name

Brief description (2-3 sentences max).

## Quick Start

\`\`\`bash
# Essential commands only
\`\`\`

## Workflow

### 1. First Step
- Key points only
- No lengthy explanations

### 2. Second Step
- Action-oriented
- Link to references for details

## References

| Reference | Purpose |
|-----------|---------|
| `references/detailed-guide.md` | Full implementation details |
| `references/examples.md` | Code examples |

Writing Guidelines

  1. Imperative tone: "Run the build" not "You should run the build"
  2. Action-oriented: What to do, not what things are
  3. Progressive detail: Overview → Reference → Implementation
  4. No redundancy: Say it once, in the right place

When to Create vs Reference

Create a skill when:

  • Task requires specific workflow knowledge
  • Multiple steps with decision points
  • Reusable across projects

Use references when:

  • Detailed implementation specifics
  • Code examples
  • Edge cases and troubleshooting

Refactoring Bloated Skills

Signs you need to refactor:

  • SKILL.md over 200 lines
  • Loading 5+ skills causes context issues
  • 90% of loaded content isn't used

Process:

  1. Extract detailed sections to references/
  2. Keep only overview in SKILL.md
  3. Add navigation table to references
  4. Test cold start (should load <500 lines)

References

ReferencePurpose
references/architecture.md3-tier system deep dive
references/frontmatter.mdYAML frontmatter spec
references/writing-guide.mdContent writing best practices
references/refactoring.mdHow to split bloated skills
references/anti-patterns.mdWhat NOT to do
references/examples.mdComplete skill examples

Metrics

After creating/refactoring a skill:

  • Entry point: <200 lines ✓
  • Each reference: 200-300 lines ✓
  • Cold start load: <500 lines ✓
  • Relevant info ratio: >80% ✓

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

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

30.52%
按下载量换算55

trae

21.08%
按下载量换算38

Antigravity

16.8%
按下载量换算30

Codex

13.22%
按下载量换算24

windsurf

7.67%
按下载量换算14

Gemini CLI

3.37%
按下载量换算6

安全审计

暂无安全审计结果可展示。

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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