material-ui-tailwind

Integrates Material UI with Tailwind CSS v4 using cascade layers (enableCssLayer.

What this skill does for you

Integrates Material UI with Tailwind CSS v4 using cascade layers (enableCssLayer, @layer order) and documents Tailwind v3 interoperability (preflight, important, injectFirst, portals). Use when combining MUI with Tailwind utilities, slotProps className, or theme token bridges.

Quoted from the skill description in the pinned source

Who made it

Publishermui

Repositorymaterial-ui

Installs341as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the material-ui-tailwind skill from mui/material-ui.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 190a83cf3784c53b57d7a80cf96df27276eed079. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 190a83cf3784c53b57d7a80cf96df27276eed079. Raw findings: . Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 190a83cf3784c53b57d7a80cf96df27276eed079. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/mui/material-ui
Pinned skill file: View source at revision
Revision: 190a83cf3784c53b57d7a80cf96df27276eed079
Package hash: sha256:28fe1269f86ac50e59d07ddcdc8755afcf2f1dd1058b58e53bf8c974d5d64d3d
Licence: MIT