Edge Copy setup link
Skill evidence / brandkit
Skill profile

brandkit

Generate a complete, accessible brand design system from a brief : primitive → semantic → component...

What this skill does for you

Generate a complete, accessible brand design system from a brief : primitive → semantic → component DTCG tokens (color, type, spacing, radius, shadow, motion), light + dark, plus a single theme.css : verified for WCAG. Use when the user wants a from-scratch brand/design foundation, a new palette + type system, or a themeable token kit for a product.

Quoted from the skill description in the pinned source

Who made it

Publisherplugin87
Installs307as 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 brandkit skill from plugin87/ux-ui-agent-skills.

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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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: f2e2f7fcc5cb9d99bbd8ec5e0d75cebb98e21e7e. 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: f2e2f7fcc5cb9d99bbd8ec5e0d75cebb98e21e7e. Raw findings: 1. 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: f2e2f7fcc5cb9d99bbd8ec5e0d75cebb98e21e7e. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/plugin87/ux-ui-agent-skills
Pinned skill file
View source at revision
Revision
f2e2f7fcc5cb9d99bbd8ec5e0d75cebb98e21e7e
Package hash
sha256:3f4bdf43c8783fb40228851fe5386790c9c0391366e8b659466e3ffd00501fb7
Licence
MIT