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component-search元件搜索

Agent Skill

component-search 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

1,048

周安装

42

GitHub Stars

160

下载量

339
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:component-search(元件搜索)
来源仓库:https://github.com/yonatangross/orchestkit
仓库路径:skills/component-search
安装命令:
npx skills add https://github.com/yonatangross/orchestkit --skill component-search
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/yonatangross/orchestkit --skill component-search

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 根据关键词、任务场景或来源线索进行信息匹配与筛选,支持多宿主环境集成。
  • 通过 npx skills add 命令从 GitHub 仓库安装,需结合原始 README 确认具体用法。
  • 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操作。
  • component-search 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Component Search

Search 21st.dev's registry of production-ready React components. Returns ranked results with code, previews, and install instructions.

/ork:component-search animated pricing table
/ork:component-search sidebar with collapsible sections
/ork:component-search dark mode toggle switch

How It Works

Query: "animated pricing table with monthly/annual toggle"
  │
  ▼
┌──────────────────────────────┐
│ 21st.dev Magic MCP           │  Search the 21st.dev developer registry
│ @21st-dev/magic              │  Filter: React, Tailwind, shadcn
└──────────┬───────────────────┘
           │
           ▼
┌──────────────────────────────┐
│ Results (ranked by relevance)│
│                              │
│ 1. PricingToggle (98% match) │  ★ 2.3K views · shadcn/ui
│ 2. PricingCards (87% match)  │  ★ 1.8K views · Radix
│ 3. AnimatedPricing (82%)     │  ★ 950 views · Motion
└──────────────────────────────┘

Step 0: Parse Query

QUERY = ""  # Component description

# 1. Create main task IMMEDIATELY
TaskCreate(subject="Component search: {QUERY}", description="Search 21st.dev registry", activeForm="Searching for {QUERY}")

# 2. Create subtasks for each phase
TaskCreate(subject="Parse query and detect project context", activeForm="Detecting project context")  # id=2
TaskCreate(subject="Search component registry", activeForm="Searching registry")                      # id=3
TaskCreate(subject="Present and deliver results", activeForm="Presenting results")                    # id=4

# 3. Set dependencies for sequential phases
TaskUpdate(taskId="3", addBlockedBy=["2"])  # Search needs project context first
TaskUpdate(taskId="4", addBlockedBy=["3"])  # Results need search done

# 4. Before starting each task, verify it's unblocked
task = TaskGet(taskId="2")  # Verify blockedBy is empty

# 5. Update status as you progress
TaskUpdate(taskId="2", status="in_progress")  # When starting
TaskUpdate(taskId="2", status="completed")    # When done — repeat for each subtask

# Detect project context for framework filtering
Glob("**/package.json")
# Read to determine: React version, Tailwind, shadcn/ui, styling approach

# Detect shadcn/ui style for result ranking
Glob("**/components.json")
# Read → "style" field (e.g., "radix-luma", "base-nova")
# Used to prefer components matching the project's visual language

Step 1: Search Registry

If 21st-dev-magic MCP is available:

# Use MCP tools to search the 21st.dev component registry
# Pass the natural language query
# The MCP handles semantic search and ranking

If 21st-dev-magic is NOT available (fallback):

# Fallback to web search
WebSearch("site:21st.dev {QUERY} React component")
# Or browse the registry
WebFetch("https://21st.dev", "Search for: {QUERY}")

Alternative generation path — v0.app MCP (2026): When the registry doesn't have a matching component, fall back to AI generation via the v0.app MCP server rather than WebFetch scraping:

# If @vercel/v0-mcp is available
# v0.app generates from the same query and can pin to shadcn style
# (e.g., luma / nova / lyra) via `shadcn apply` after download.

This is a generation path, not a registry search — results will not have view counts or stars. Prefer registry search when possible so you get battle-tested components; use v0.app only when the registry misses.

Step 2: Present Results

Show top 3 matches with:

  • Component name and description
  • Match relevance score
  • Popularity (views/bookmarks)
  • Framework compatibility
  • Preview (if available)
  • Install command
AskUserQuestion(questions=[{
  "question": "Which component to use?",
  "header": "Component",
  "options": [
    {"label": "{name_1} (Recommended)", "description": "{desc_1} — {views_1} views"},
    {"label": "{name_2}", "description": "{desc_2} — {views_2} views"},
    {"label": "{name_3}", "description": "{desc_3} — {views_3} views"},
    {"label": "None — generate from scratch", "description": "Build a custom component instead"}
  ],
  "multiSelect": false
}])

Step 3: Deliver Component

For the selected component:

  1. Show the full source code
  2. List dependencies (npm install commands)
  3. Note any required peer dependencies (Radix, Motion, etc.)
  4. Highlight customization points (props, tokens, slots)

Framework Compatibility

Project StackSearch FilterNotes
React + TailwindDefault — best coverageMost 21st.dev components
React + CSS ModulesFilter non-TailwindFewer results
Next.js App RouterPrefer RSC-compatibleCheck "use client" directives
Vue / SvelteNot supported21st.dev is React-only
shadcn/ui styleMatch visual languageLuma→rounded/pill, Nova→compact, Lyra→sharp

shadcn v4 style awareness: When components.json has a style (e.g., "radix-luma"), prefer components whose visual language matches — rounded pill shapes for Luma, dense layouts for Nova/Mira, sharp edges for Lyra. Components can be adapted post-install, but a closer match reduces customization work.

Related Skills

  • ork:design-to-code — Full mockup-to-component pipeline (uses this skill)
  • ork:design-system-tokens — Adapt components to project tokens
  • ork:ui-components — Component library patterns

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

37.11%
按下载量换算126

Claude

28.93%
按下载量换算98

Cursor

19.07%
按下载量换算65

Gemini CLI

8.94%
按下载量换算30

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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