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extract提取

Agent Skill

extract 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

514

周安装

21

GitHub Stars

公开资料未说明

下载量

166
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:extract(提取)
来源仓库:https://github.com/open-horizon-labs/impeccable
仓库路径:skills/extract
安装命令:
npx skills add https://github.com/open-horizon-labs/impeccable --skill extract
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/open-horizon-labs/impeccable --skill extract

简介

extract 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。

  • 它主要面向研究检索类任务,可辅助 Agent 从多个维度组织信息。
  • 通过 npx skills add 命令安装指定仓库中的 skill 模块即可调用。
  • 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。
  • extract 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Identify reusable patterns, components, and design tokens, then extract and consolidate them into the design system for systematic reuse.

Discover

Analyze the target area to identify extraction opportunities:

  1. Find the design system: Locate your design system, component library, or shared UI directory (grep for "design system", "ui", "components", etc.). Understand its structure: CRITICAL: If no design system exists, ask before creating one. Understand the preferred location and structure first.

- Component organization and naming conventions - Design token structure (if any) - Documentation patterns - Import/export conventions

  1. Identify patterns: Look for:

- Repeated components: Similar UI patterns used multiple times (buttons, cards, inputs, etc.) - Hard-coded values: Colors, spacing, typography, shadows that should be tokens - Inconsistent variations: Multiple implementations of the same concept (3 different button styles) - Reusable patterns: Layout patterns, composition patterns, interaction patterns worth systematizing

  1. Assess value: Not everything should be extracted. Consider:

- Is this used 3+ times, or likely to be reused? - Would systematizing this improve consistency? - Is this a general pattern or context-specific? - What's the maintenance cost vs benefit?

Plan Extraction

Create a systematic extraction plan:

  • Components to extract: Which UI elements become reusable components?
  • Tokens to create: Which hard-coded values become design tokens?
  • Variants to support: What variations does each component need?
  • Naming conventions: Component names, token names, prop names that match existing patterns
  • Migration path: How to refactor existing uses to consume the new shared versions

IMPORTANT: Design systems grow incrementally. Extract what's clearly reusable now, not everything that might someday be reusable.

Extract & Enrich

Build improved, reusable versions:

  • Components: Create well-designed components with:

- Clear props API with sensible defaults - Proper variants for different use cases - Accessibility built in (ARIA, keyboard navigation, focus management) - Documentation and usage examples

  • Design tokens: Create tokens with:

- Clear naming (primitive vs semantic) - Proper hierarchy and organization - Documentation of when to use each token

  • Patterns: Document patterns with:

- When to use this pattern - Code examples - Variations and combinations

NEVER:

  • Extract one-off, context-specific implementations without generalization
  • Create components so generic they're useless
  • Extract without considering existing design system conventions
  • Skip proper TypeScript types or prop documentation
  • Create tokens for every single value (tokens should have semantic meaning)

Migrate

Replace existing uses with the new shared versions:

  • Find all instances: Search for the patterns you've extracted
  • Replace systematically: Update each use to consume the shared version
  • Test thoroughly: Ensure visual and functional parity
  • Delete dead code: Remove the old implementations

Document

Update design system documentation:

  • Add new components to the component library
  • Document token usage and values
  • Add examples and guidelines
  • Update any Storybook or component catalog

Remember: A good design system is a living system. Extract patterns as they emerge, enrich them thoughtfully, and maintain them consistently.

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

34.53%
按下载量换算57

Claude

29.04%
按下载量换算48

Cursor

20.44%
按下载量换算34

Gemini CLI

9.05%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。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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