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Agent Skill · 研究检索

skill-builder(技能构建)

skill-builder 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。

skill-builder 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 7,667。

总安装 18,367周安装 656GitHub Stars 7下载 7,950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
MIT

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-builder(技能构建)
来源仓库:https://github.com/trevors/dot-claude
仓库路径:skills/skill-builder
安装命令:
npx skills add https://github.com/trevors/dot-claude --skill 'Skill Builder'
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/trevors/dot-claude --skill 'Skill Builder'

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

skill-builder 用于查找、检索和筛选相关信息。适合根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令安装,需结合来源仓库和 README 核验用法。安装前建议确认权限范围、维护状态及是否会触发联网或文件读写。当前介绍未说明是否支持技能模板生成,需进一步核实功能细节。

来源仓库内路径:skills/skill-builder

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/trevors/dot-claude --skill 'Skill Builder';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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

skill-builder 怎么安装?

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

skill-builder 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。

skill-builder 需要什么权限?

权限级别是只读。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。

skill-builder 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

skill-builder 用的人多吗?

公开数据是累计安装 18,367 次,近一周安装 656 次,下载 7,950 次,GitHub 7 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。

skill-builder 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 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

  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
skill-builder

技能构建 · 本页

18,3677只读MIT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

Skill Builder

Create focused, discoverable Agent Skills that solve specific problems with clear descriptions and progressive disclosure patterns.

Workflow

1. Design the Skill

Before building, clarify:

  • What: What specific problem does this skill solve?
  • When: What triggers would tell Claude to use it? (3-5 concrete phrases)
  • Scope: Single capability or multiple related features?
  • Location: Personal (~/.claude/skills/) or project (.claude/skills/)?

Example:

  • What: "Generate clear commit messages from git diffs"
  • When: "user wants to create a commit", "reviewing staged changes", "explaining code changes"
  • Scope: Single capability (commit messages only, not other git tasks)
  • Location: Personal (useful across projects)

2. Write the Description

Description formula: <What it does>. Use when <trigger> or <trigger> or <trigger>

Good: "Generate clear commit messages from git diffs. Use when creating commits, reviewing staged changes, or explaining what changed in your code."

Weak: "Helps with git" (too vague, no triggers)

Effective trigger words:

  • Action verbs: extract, analyze, generate, review, validate, debug, migrate
  • File types: PDF,.xlsx, Python files, YAML
  • Domain terms: commits, staging, forms, spreadsheets, SwiftUI

Length: Name max 64 chars, Description max 1024 chars

3. Create Directory Structure

For minimal skills (single focused task):

my-skill/
└── SKILL.md

For skills needing supporting files:

my-skill/
├── SKILL.md              (main instructions - keep <200 lines)
└── REFERENCE.md          (detailed patterns, examples)

4. Write the SKILL.md

Minimal template (under 200 lines):

---
name: Your Skill Name
description: What it does and when to use. [Include 3-5 trigger phrases]
---

# Your Skill Name

## Quick Start

[One-paragraph overview of what this skill does]

## Instructions

1. Understand the requirement: [Ask clarifying questions]
2. [Core step with specific approach]
3. [Next step]
4. [Final step with verification]

## Examples

[2-3 concrete, realistic examples]

## Best Practices

- Do X in situation Y
- Avoid Z because...
- Use this pattern when...

5. Validate Skill Quality

Structure checklist:

  • YAML frontmatter valid (--- on line 1 and before content)
  • name under 64 characters
  • description under 1024 characters
  • description includes 3-5 trigger phrases and covers "what" + "when"
  • Markdown syntax correct (# for headers, ``` for code blocks)
  • All referenced files exist in skill directory

Discovery checklist:

  • Description could NOT describe a different skill
  • Trigger words match how users actually phrase problems
  • 3-5 concrete terms, not generic language
  • Clear distinction from related skills

Functionality checklist:

  • Instructions are step-by-step and clear
  • Examples are concrete, not abstract
  • Edge cases or limitations documented
  • Workflow is focused on single capability

6. Test Discovery

Generate 2-3 natural prompts matching your description:

For "Commit Message Generator":

  • ✅ "Write a commit message for these staged changes"
  • ✅ "Help me create a clear git commit"
  • ✅ "I need to describe what I just changed"
  • ❌ "Analyze my code" (wrong skill territory)

For "SwiftUI Engineer":

  • ✅ "Review my SwiftUI code for anti-patterns"
  • ✅ "Debug this view rendering issue"
  • ✅ "Help me migrate this from AppKit to SwiftUI"
  • ❌ "Write Python code" (wrong domain)

7. Common Patterns

Single-capability skill: One specific task (commit messages, PDF extraction)

Multi-mode skill: Related capabilities under one umbrella

  • SwiftUI Engineer: architecture, review, debugging, modernization
  • Keep main file 150-200 lines, use REFERENCE.md for detailed patterns
  • Main file explains "what mode to use when"

Structure Reference

Minimal Single-File

Use when: Focused skill with simple instructions

skill/
└── SKILL.md (100-150 lines)

With Progressive Disclosure

Use when: Related capabilities or lots of examples

skill/
├── SKILL.md (150-200 lines with quick patterns)
└── REFERENCE.md (300-400 lines with detailed examples and TOC)

Key Principles

Focused scope: One skill = one primary capability or related group

Specific triggers: Include domain terms users actually say

Progressive disclosure: Load details only when needed (use REFERENCE.md)

Concrete examples: Show real scenarios, not abstract ideas

One-level references: All references point from SKILL.md to supporting files only

No duplication: Don't repeat patterns across skills

Anti-Patterns to Avoid

❌ Overloaded: "Does commits, reviews code, analyzes data, generates docs..." → Split into separate focused skills

❌ Vague triggers: "Helps with stuff", "General purpose" → Add 3-5 specific domain terms

❌ Nested references: SKILL.md → REFERENCE.md → DETAILS.md → Keep references flat (only one level deep)

❌ Marketing language: "Amazing tool for awesome results!" → Be specific about what it does

When to Iterate

If Claude doesn't use your skill when expected:

  1. Check YAML syntax first (most common issue)
  2. Add more specific trigger words to description
  3. Verify description covers both "what" AND "when"
  4. Test with natural language phrasings
  5. Make sure trigger words match user vocabulary

平台分布

Claude Code

27.61%
按下载量换算2,195

windsurf

23.98%
按下载量换算1,906

trae

19.78%
按下载量换算1,573

OpenCode

15.27%
按下载量换算1,214

Codex

8.11%
按下载量换算645

Antigravity

4.13%
按下载量换算328

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。

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