best▌

ManimGL best practices and patterns for 3Blue1Brown's OpenGL-based animation engine. \n \n Covers InteractiveScene, Tex with LaTeX rendering, camera frame control, and 3D scene setup with lighting and surfaces \n Interactive development workflow with -se flag for checkpoint-based iteration and self.embed() for debugging \n Comprehensive rule files for animations, mobjects, text styling, colors, 3D rendering, and CLI configuration \n Includes working examples and scene templates for basic 2D, mat

Use this skill when:

Comprehensive best practices for writing reliable, maintainable Pulumi infrastructure code. \n \n Avoid creating resources inside apply() callbacks; pass Output objects directly as inputs to preserve dependency tracking and preview visibility \n Use ComponentResource classes to group related resources into reusable logical units with proper parent-child hierarchy via parent: this \n Encrypt secrets from the start with --secret flag or config.requireSecret() to prevent credential leakage in state

NgRx state management rules for global state with actions, reducers, effects, and selectors. Use with the core angular-best-practices skill for comprehensive Angular coverage.

Apply these rules when writing or reviewing Next.js code.

Best Minds \n \n \"Don't think of LLMs as entities but as simulators.\"\n— Andrej Karpathy \n \n 核心 \n 不要问 AI \"你怎么看\"。 \n 要问： 这个问题，世界上谁最懂？TA 会怎么说？ \n 然后模拟那个人。 \n 原则 \n \n 问题决定人数 — 一个人够就一个，需要碰撞才多个 \n 找真正最懂的 — 不是找\"合适的\"，是找\"最强的\" \n 基于真实 — 模拟要基于 TA 公开的思想、著作、言论 \n 引用原话 — 尽可能用 TA 说过的话 \n \n vs ai-coaches \n \n \n \n ai-coaches \n best-minds \n \n \n \n \n 从 13 个预设智者选 \n 从全世界找 \n \n \n 基于关键词匹配 \n 基于问题本质 \n \n \n

Angular Material and CDK rules for component usage, theming, and testing. Use with the core angular-best-practices skill for comprehensive Angular coverage.

Vue 3 development with Composition API, <script setup> , and TypeScript as the standard approach. \n \n Enforces a structured workflow: confirm architecture, apply core foundations (reactivity, SFC structure, component focus, data flow, composables), then add optional features only when needed \n Requires reading and applying four core references before implementation: reactivity, SFC structure, component data flow, and composables \n Provides explicit component-splitting rules based on res

Comprehensive performance optimization guide for React and Next.js applications, maintained by Vercel. Contains 64 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

Comprehensive style guide for performant, maintainable Angular 17+ applications using signals and modern APIs. \n \n Covers TypeScript strictness, standalone components with OnPush detection, signal-based reactivity with input() , output() , and computed() , and control flow syntax ( @if , @for , @switch ) \n Includes RxJS patterns, performance optimization (route resolvers, lazy loading, @defer ), testing with component harnesses, and architecture guidelines \n Optional library-specific add-ons