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Version: makepad-widgets (dev branch) | Last Updated: 2026-01-19 > > Check for updates: https://crates.io/crates/makepad-widgets

Comprehensive market sizing methodologies for calculating Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) for startup opportunities.

CRITICAL: Use for Makepad animation system. Triggers on: makepad animation, makepad animator, makepad hover, makepad state, makepad transition, "from: { all: Forward", makepad pressed, makepad 动画, makepad 状态, makepad 过渡, makepad 悬停效果

CRITICAL: Use for Makepad event and action handling. Triggers on: makepad event, makepad action, Event enum, ActionTrait, handle_event, MouseDown, KeyDown, TouchUpdate, Hit, FingerDown, post_action, makepad 事件, makepad action, 事件处理

CRITICAL: Use for Makepad cross-platform support. Triggers on: makepad platform, makepad os, makepad macos, makepad windows, makepad linux, makepad android, makepad ios, makepad web, makepad wasm, makepad metal, makepad d3d11, makepad opengl, makepad webgl, OsType, CxOs, makepad 跨平台, makepad 平台支持

CRITICAL: Use for Makepad shader system. Triggers on: makepad shader, makepad draw_bg, Sdf2d, makepad pixel, makepad glsl, makepad sdf, draw_quad, makepad gpu, makepad 着色器, makepad shader 语法, makepad 绘制

Apply behavioral science and mental models to marketing decisions, prioritized using a psychological leverage and feasibility scoring system.

Math-heavy escalation for n >= 10^6 — Bloom, HyperLogLog, Count-Min, MinHash/LSH, FFT, JL projection, sweep line. Use when classical O(n log n) is the floor and approximate or math wins.

Makepad UI development skills for Rust apps: setup, patterns, shaders, packaging, and troubleshooting.

Provide proven marketing strategies and growth ideas for SaaS and software products, prioritized using a marketing feasibility scoring system.

Matemático ultra-avançado inspirado em Terence Tao. Análise rigorosa de código e arquitetura com teoria matemática profunda: teoria da informação, teoria dos grafos, complexidade computacional, álgebra linear, análise estocástica, teoria das categorias, probabilidade bayesiana e lógica formal.

Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots.