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langgenius AI Skills

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浏览 langgenius 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

7

收录技能的仓库 Stars 合计

917,925

仓库 Forks

142,894

平均每个技能的仓库 Stars

131,132

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

7 个技能

全部技能

GitHub

frontend-code-review

langgenius

Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist rules.

☆ 131,175查看技能
GitHub

component-refactoring

langgenius

Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component --json` shows complexity > 50 or lineCount > 300, when the user asks for code splitting, hook extraction, or complexi...

☆ 131,175查看技能
GitHub

frontend-testing

langgenius

Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requ...

☆ 131,166查看技能
GitHub

orpc-contract-first

langgenius

Guide for implementing oRPC contract-first API patterns in Dify frontend. Triggers when creating new API contracts, adding service endpoints, integrating TanStack Query with typed contracts, or migrating legacy...

☆ 131,124查看技能
GitHub

web-design-guidelines

langgenius

Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".

☆ 131,106查看技能
GitHub

vercel-react-best-practices

langgenius

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Trigge...

☆ 131,106查看技能
GitHub

skill-creator

langgenius

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...

☆ 131,073查看技能

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。