makepad-skills
Makepad UI development skills for Rust apps: setup, patterns, shaders, packaging, and troubleshooting.
Best use case
makepad-skills is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Makepad UI development skills for Rust apps: setup, patterns, shaders, packaging, and troubleshooting.
Teams using makepad-skills should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/makepad-skills/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How makepad-skills Compares
| Feature / Agent | makepad-skills | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Makepad UI development skills for Rust apps: setup, patterns, shaders, packaging, and troubleshooting.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Makepad Skills ## Overview Makepad UI development skills for Rust apps: setup, patterns, shaders, packaging, and troubleshooting. ## When to Use This Skill Use this skill when you need to work with makepad ui development skills for rust apps: setup, patterns, shaders, packaging, and troubleshooting.. ## Instructions This skill provides guidance and patterns for makepad ui development skills for rust apps: setup, patterns, shaders, packaging, and troubleshooting.. For more information, see the [source repository](https://github.com/ZhangHanDong/makepad-skills).
Related Skills
nanobanana-ppt-skills
AI-powered PPT generation with document analysis and styled images
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
claude-scientific-skills
Scientific research and analysis skills
threejs-skills
Create 3D scenes, interactive experiences, and visual effects using Three.js. Use when user requests 3D graphics, WebGL experiences, 3D visualizations, animations, or interactive 3D elements.
shabbat-times
Access Jewish calendar data and Shabbat times via Hebcal API. Use when building apps with Shabbat times, Jewish holidays, Hebrew dates, or Zmanim. Triggers on Shabbat times, Hebcal, Jewish calendar, Hebrew date, Zmanim.
mcp:setup-serena-mcp
Guide for setup Serena MCP server for semantic code retrieval and editing capabilities
mcp:setup-context7-mcp
Guide for setup Context7 MCP server to load documentation for specific technologies.
server-management
Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.
serpapi-automation
Automate Serpapi tasks via Rube MCP (Composio). Always search tools first for current schemas.
segment-cdp
Expert patterns for Segment Customer Data Platform including Analytics.js, server-side tracking, tracking plans with Protocols, identity resolution, destinations configuration, and data governance ...
seatbelt-sandboxer
Generates minimal macOS Seatbelt sandbox configurations. Use when sandboxing, isolating, or restricting macOS applications with allowlist-based profiles.
scvi-tools
Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.