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Agent Skill · 研究检索

skill-builder(技能构建)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

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,权限为需要联网;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 65,745。

总安装 275周安装 11GitHub Stars 公开资料未说明下载 89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/jmagly/ai-writing-guide
仓库路径:skills/skill-builder
安装命令:
npx skills add jmagly/ai-writing-guide --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。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 jmagly/ai-writing-guide --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。

发现并安装 AI 代理的技能,协助扩展宿主平台的功能模块。适用于需要动态加载新能力或集成第三方插件的研究检索场景。通过 npx skills add jmagly/ai-writing-guide --skill "skill-builder" 命令从 GitHub 安装。

需验证仓库来源可靠性及技能兼容性,防止引入恶意或不稳定组件。建议在安装后查阅原始 README 文档以了解具体用法和潜在影响。

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 jmagly/ai-writing-guide --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

skill-builder 怎么安装?

在终端执行 npx skills add jmagly/ai-writing-guide --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。

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 275 次,近一周安装 11 次,下载 89 次。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?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 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

275—需要联网MIT未收录

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

name
skill-builder
description
Build Claude skills from extracted documentation. Use after doc-scraper/pdf-extractor to generate uploadable skill packages.
tools
Read, Write, Bash, Glob

Skill Builder Skill

Purpose

Single responsibility: Transform extracted documentation into properly structured Claude skill packages ready for upload. (BP-4)

Grounding Checkpoint (Archetype 1 Mitigation)

Before executing, VERIFY:

  • [ ] Input data directory exists and contains extracted content
  • [ ] Content format is recognized (JSON pages, markdown, etc.)
  • [ ] Output directory is writable
  • [ ] Skill name follows Claude conventions (lowercase, alphanumeric, hyphens)

DO NOT build without verifying input data quality.

Uncertainty Escalation (Archetype 2 Mitigation)

ASK USER instead of guessing when:

  • Multiple input formats detected - which to prioritize?
  • Category structure unclear from content
  • Skill description ambiguous
  • Target audience undefined

NEVER generate placeholder content without user guidance.

Context Scope (Archetype 3 Mitigation)

Context TypeIncludedExcluded
RELEVANTInput data, skill config, output pathOther skills
PERIPHERALSimilar skill examplesUnrelated documentation
DISTRACTORPrevious build attemptsSource scraping details

Workflow Steps

Step 1: Validate Input (Grounding)

# Check input data exists
ls -la output/<skill-name>_data/

# Verify page count
find output/<skill-name>_data/pages -name "*.json" | wc -l

# Check summary
cat output/<skill-name>_data/summary.json

Step 2: Generate Skill Structure

Standard Claude skill structure:

output/<skill-name>/
├── SKILL.md              # Main skill file (required)
├── references/           # Reference documentation
│   ├── index.md          # Category index
│   ├── getting_started.md
│   ├── api_reference.md
│   └── guides.md
├── scripts/              # Optional automation scripts
└── assets/               # Optional images, diagrams

Step 3: Create SKILL.md

Template for SKILL.md:

# <Skill Name>

## Description
<When to use this skill - clear, specific>

## Key Features
- Feature 1
- Feature 2
- Feature 3

## Quick Reference

### Common Patterns
<Most frequently used patterns with code examples>

### API Overview
<Key API methods/functions>

## Navigation

| Topic | File | Description |
|-------|------|-------------|
| Getting Started | references/getting_started.md | Installation and setup |
| API Reference | references/api_reference.md | Complete API documentation |
| Guides | references/guides.md | How-to guides and tutorials |

## Code Examples

<3-5 practical code examples from documentation>

## Common Questions

<FAQ section based on documentation>

## Version Information

- Documentation version: <version>
- Last updated: <date>
- Source: <url>

Step 4: Generate Reference Files

Categorize extracted content:

# Categories and their keywords
categories = {
    "getting_started": ["intro", "install", "setup", "quickstart"],
    "api_reference": ["api", "reference", "method", "function", "class"],
    "guides": ["guide", "tutorial", "how-to", "example"],
    "concepts": ["concept", "overview", "architecture"],
    "advanced": ["advanced", "internals", "extend", "customize"]
}

Step 5: Validate Output

# Check required files exist
test -f output/<skill-name>/SKILL.md || echo "Missing SKILL.md"
test -d output/<skill-name>/references || echo "Missing references/"

# Verify SKILL.md structure
grep "^# " output/<skill-name>/SKILL.md
grep "^## " output/<skill-name>/SKILL.md

# Check reference files
ls -la output/<skill-name>/references/

Recovery Protocol (Archetype 4 Mitigation)

On error:

  1. PAUSE - Preserve partial build
  2. DIAGNOSE - Check error type:

- Missing input data → Re-run extraction - Invalid content format → Check parser compatibility - Categorization failed → Manual category mapping - Template error → Check SKILL.md syntax

  1. ADAPT - Adjust build configuration
  2. RETRY - Rebuild affected sections (max 3 attempts)
  3. ESCALATE - Present partial build, ask for guidance

Checkpoint Support

State saved to: .aiwg/working/checkpoints/skill-builder/

checkpoints/skill-builder/
├── build_config.json       # Build configuration
├── categorization.json     # Category assignments
├── skill_md_draft.md       # SKILL.md draft
└── progress.json           # Build progress

Quality Criteria

CriterionRequirementValidation
SKILL.md presentRequiredFile exists check
Description clearRequiredNon-empty, specific
References organizedRequiredAt least 2 categories
Code examplesRecommended3+ examples in SKILL.md
Navigation tableRecommendedLinks to all references

Output Validation

Run quality check after build:

# Use quality-checker skill
# Or manual validation:

# 1. SKILL.md structure
grep -E "^#{1,2} " output/<skill-name>/SKILL.md

# 2. Code examples present
grep -c '```' output/<skill-name>/SKILL.md

# 3. References populated
for f in output/<skill-name>/references/*.md; do
  echo "$f: $(wc -l < $f) lines"
done

# 4. No broken links
grep -oE '\[.*\]\(.*\)' output/<skill-name>/SKILL.md | head -10

Configuration Options

{
  "name": "myskill",
  "description": "When to use this skill",
  "input_dir": "output/myskill_data/",
  "output_dir": "output/myskill/",
  "template": "standard",
  "options": {
    "extract_examples": true,
    "max_examples": 10,
    "generate_faq": true,
    "include_navigation": true,
    "min_category_pages": 5
  }
}

Templates

Standard Template

Full-featured skill with all sections.

Minimal Template

Just SKILL.md and one reference file.

API Reference Template

Optimized for API documentation.

Tutorial Template

Optimized for learning content.

Troubleshooting

IssueDiagnosisSolution
Missing input dataData directory not foundRun doc-scraper or pdf-extractor first
Empty SKILL.mdTemplate failedCheck input format, verify JSON structure
No categoriesKeywords not matchedProvide custom category mapping
Build hangsLarge datasetUse doc-splitter first for 10K+ pages
Invalid structureWrong templateVerify template compatibility with content

References

  • Claude Skills Format: https://docs.anthropic.com/skills
  • Skill Seekers Builder: https://github.com/jmagly/Skill_Seekers
  • REF-001: Production-Grade Agentic Workflows (BP-4, BP-5)
  • REF-002: LLM Failure Modes (Archetype 1-4 mitigations)

平台分布

OpenCode

29.99%
按下载量换算27

Codex

24.6%
按下载量换算22

Claude Code

19.22%
按下载量换算17

windsurf

12.87%
按下载量换算11

Antigravity

8.02%
按下载量换算7

Gemini CLI

3.49%
按下载量换算3

安全审计

暂无安全审计结果可展示。

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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