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extract提取

Agent Skill

extract 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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

1,284,179

周安装

53,539

GitHub Stars

23,061

下载量

428,320
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/pbakaus/impeccable
仓库路径:skills/extract
安装命令:
npx skills add https://github.com/pbakaus/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/pbakaus/impeccable --skill extract

简介

识别并提取可重用组件、设计标记和模式到一个有凝聚力的设计系统中。

  • 分析目标区域以查找重复的 UI 模式、硬编码值以及值得系统化的不一致变化
  • 指导提取规划,包括组件 API、令牌层次结构、命名约定和迁移策略
  • 强调增量增长:仅提取使用过 3 次以上或具有明确重用潜力的模式,避免过度泛化
  • 包括可访问性最佳实践(ARIA、键盘导航)和提取组件的 TypeScript 文档
  • 提供迁移和文档工作流程以替换现有实施并保持设计系统的一致性

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

38.48%
按下载量换算164,818

Claude

28.25%
按下载量换算121,000

Cursor

18.23%
按下载量换算78,083

Gemini CLI

10.59%
按下载量换算45,359

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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