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Agent Skill · 研究检索

innovation-radar(创新雷达)

innovation-radar 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。

innovation-radar 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;许可证信息还不明确,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 69,087。

总安装 220周安装 9GitHub Stars 11下载 71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
unknown

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:innovation-radar(创新雷达)
来源仓库:https://github.com/lobbi-docs/claude
仓库路径:skills/innovation-radar
安装命令:
npx skills add https://github.com/lobbi-docs/claude --skill innovation-radar
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/lobbi-docs/claude --skill innovation-radar

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。

innovation-radar 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令从指定仓库安装并使用该技能。安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/innovation-radar

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/lobbi-docs/claude --skill innovation-radar;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

innovation-radar 怎么安装?

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

innovation-radar 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。

innovation-radar 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。

innovation-radar 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

innovation-radar 用的人多吗?

公开数据是累计安装 220 次,近一周安装 9 次,下载 71 次,GitHub 11 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。

innovation-radar 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。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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

  • 需要明确授权才能用到公司项目里的场景。
  • 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
innovation-radar

创新雷达 · 本页

22011需要联网未明确通过

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

Innovation Radar Skill

Identifies forward-looking, innovative upgrade opportunities that go beyond fixing problems — suggesting features and patterns that make a project stand out. This is the "what if?" layer on top of the council's "what's wrong?" analysis.

Innovation Categories

1. AI-Powered Features

Suggest AI integration opportunities appropriate to the project:

Project TypeAI FeatureEffortImpact
Content appAI-powered search with embeddingsMediumHigh
E-commerceProduct recommendation engineHighVery High
SaaS dashboardNatural language data queriesMediumHigh
Dev toolsAI code review / suggestionsMediumHigh
CMSAI content generation / summarizationLowMedium
Form-heavy appSmart form auto-fillLowMedium
DocumentationAI-powered Q&A chatbotMediumHigh
Any appAI-powered command paletteLowHigh

Detection: Look for search functionality, data tables, content editing, or user input forms — these are prime AI integration points.

2. Modern UI Patterns

Patterns that dramatically improve perceived quality:

PatternWhat It IsWhen to Suggest
Command Palette (Cmd+K)Searchable action menuAny app with >5 pages/actions
Optimistic UpdatesUI updates before server confirmsAny CRUD app
Skeleton ScreensContent-shaped loading placeholdersAny data-loading UI
Drag-and-DropReorderable lists/gridsLists with order significance
Infinite ScrollProgressive content loadingFeed/list-heavy apps
Toast NotificationsNon-blocking feedbackAny app with async actions
Spotlight SearchFull-app searchApps with >10 content types
Multi-select + BatchSelect many, act on allAdmin/management interfaces
Contextual TooltipsRich inline helpComplex/enterprise UIs
Keyboard ShortcutsPower-user accelerationProductivity/dev tools
Live CollaborationReal-time multi-userDocs/editors/whiteboards
Dark ModeTheme switchingAny user-facing app
Responsive SidebarCollapsible navigationDashboard/admin layouts
Data VisualizationCharts/graphs from dataApps with analytics
Undo/Redo StackAction historyEditors/form-heavy apps

3. Performance Innovations

Beyond fixing bottlenecks — architectural performance patterns:

PatternWhat It IsWhen to Suggest
Edge FunctionsCompute at CDN edgeGlobal user base, low-latency needs
Streaming SSRStream HTML as it rendersNext.js/Remix apps with slow data
React Server ComponentsServer-rendered componentsNext.js 14+ apps
Islands ArchitecturePartial hydrationContent-heavy sites (Astro)
Service Worker CachingOffline-first patternsApps used on mobile/poor networks
WebSocket SubscriptionsReal-time data pushDashboards, chat, live feeds
Virtual ScrollingRender only visible rowsTables with 100+ rows
Image Optimization PipelineAuto-resize, WebP, lazy loadImage-heavy apps
Database Connection PoolingShared DB connectionsServerless + DB apps
GraphQL DataLoaderBatched DB queriesGraphQL APIs with N+1 risk

4. Developer Experience Innovations

Tools and patterns that accelerate development:

PatternWhat It IsWhen to Suggest
Type GenerationAuto-generate types from schemaAPI consumers (OpenAPI, GraphQL)
Monorepo SetupShared code across packages2+ related projects
StorybookComponent development environmentUI component libraries
Feature FlagsGradual rollout infrastructureTeams shipping frequently
API Mocking (MSW)Mock service worker for dev/testFrontend without backend ready
Database SeedingReproducible dev dataApps with complex data models
Hot Module ReplacementInstant dev feedbackAny frontend project
Error Tracking (Sentry)Production error monitoringAny deployed application
Analytics PipelineUser behavior trackingProduct-focused apps
Health Check Endpoints/healthz + readiness probesAny deployed service

5. Security Innovations

Proactive security patterns beyond basic hardening:

PatternWhat It IsWhen to Suggest
Content Security PolicyXSS prevention headersAny web app
Subresource IntegrityCDN script verificationApps loading external scripts
RBAC FrameworkRole-based access controlMulti-user apps
Audit LoggingSecurity event trailEnterprise/compliance apps
Secret RotationAutomated credential rotationProduction services
Rate Limiting + WAFRequest throttlingPublic APIs
OAuth2/OIDCStandard auth protocolApps with user login
Signed URLsTemporary secure asset accessFile download/upload features

Innovation Scoring

Each innovation is scored on:

FactorWeightDescription
Novelty25%How cutting-edge is this? (1-10)
User Impact30%How much does this improve the user experience? (1-10)
Effort20%How easy to implement? (1-10, higher = easier)
Fit25%How well does this match the project's stack and scale? (1-10)
InnovationScore = (Novelty * 0.25) + (UserImpact * 0.30) + (Effort * 0.20) + (Fit * 0.25)

Framework-Specific Innovation Suggestions

Next.js

  • Parallel Routes for simultaneous layouts
  • Intercepting Routes for modal-like patterns
  • Server Actions for form mutations without API routes
  • Partial Prerendering (PPR) for hybrid static/dynamic
  • next/image with blur placeholder for perceived speed

React SPA

  • React Query / TanStack Query for server state management
  • Suspense boundaries for streaming data loading
  • React.lazy + named exports for granular code splitting
  • useOptimistic for instant UI feedback
  • useDeferredValue for non-blocking updates

Express/Node Backend

  • tRPC for end-to-end type safety with frontend
  • BullMQ for background job processing
  • OpenTelemetry for distributed tracing
  • Zod-based request validation middleware
  • Structured logging with Pino

Python Backend

  • Background tasks with Celery or Dramatiq
  • Redis caching with automatic invalidation
  • OpenAPI spec generation from models
  • Async database drivers (asyncpg)
  • Structured logging with structlog

Output Format

innovations:
  - title: "Add Cmd+K command palette for power-user navigation"
    category: innovation
    subcategory: modern-ui
    novelty: 8
    user_impact: 8
    effort: 7
    fit: 9
    innovation_score: 8.05
    confidence: 0.85
    description: >
      Your app has 12 pages and 8 common actions. A command palette (Cmd+K)
      lets power users navigate, search, and act without leaving the keyboard.
      Libraries like cmdk or kbar make this a 2-3 hour implementation with
      dramatic UX improvement.
    implementation:
      library: "cmdk (pacocoursey/cmdk) — 2KB gzipped"
      files_to_create: ["src/components/CommandPalette.tsx"]
      files_to_modify: ["src/app/layout.tsx"]
      estimated_time: "2-3 hours"
    inspiration: "VS Code, Linear, Vercel Dashboard, Raycast"
    tags: [cmd-k, command-palette, keyboard, power-users, navigation]

Anti-Patterns

  • Don't suggest innovations that don't fit the project's maturity
  • Don't suggest AI features if the project has no data to work with
  • Don't suggest real-time features for read-only content sites
  • Don't suggest enterprise patterns for personal projects
  • Always include a specific library/tool recommendation — not just "add AI"
  • Always estimate implementation time realistically

平台分布

Codex

34.11%
按下载量换算24

Claude

31.16%
按下载量换算22

Cursor

18.08%
按下载量换算13

Gemini CLI

9.36%
按下载量换算7

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。目前只有一个公开来源,建议同时核对源仓库。

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