agentleFS
AboudjemAboudjem/ui-ux-suite/skills/type-audit/SKILL.md

type-audit

Skill8 starsChanged 7 months agoMITView on GitHub

Typography-only audit covering font selection, type scale, readability, hierarchy, and performance. Use when the user asks to audit typography, run a typography or type audit, review fonts, fix their fonts, or work on the type system.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Check performance (font loading, number of weights)

    line 15

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

/type-audit: Typography System Audit

Focused audit of the project's typography system.

Flow

  1. Extract typography values with uiux_extract_typography
  2. Detect type scale (mathematical ratio or random)
  3. Evaluate font choice, pairing, readability, hierarchy
  4. Check performance (font loading, number of weights)
  5. Generate improved type system with uiux_generate_type_scale
  6. Output complete type token system

Output

  • Current type inventory (fonts, sizes, weights, line heights)
  • Scale detection result
  • Readability score
  • Recommended type system (font, scale, hierarchy)
  • Fluid typography values (clamp())
  • Performance recommendations

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.