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 sourceWho made it
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
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
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