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rschuftrschuft/ai-frontend-skill-packs/skills/ux-review/SKILL.md

ux-review

Skill4 starsChanged 5 days agoMITView on GitHub

Review or audit existing user interfaces, UX journeys, screenshots, prototypes, or code for usability issues; produce evidence-graded, prioritized findings linked to Laws of UX and testable remediation.

26 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 24 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use for reviews, audits, critique and issue triage without assuming permission to change code.

    line 10
  2. Very specific:

    Read references/evidence-and-priority.md when you need to grade evidence, resolve conflicting interpretations, or rank complex findings.

    line 12
  3. Very specific:

    Default output: a short executive diagnosis, then an ordered issue table with ID, evidence, location, user impact, primary class, law, …

    line 23

“Common” is measured: kept by at least 6 in 10 of the 24 edited versions of this file we could read. “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

Perform a user-centered UX review

Scope

Use for reviews, audits, critique and issue triage without assuming permission to change code.

Read references/evidence-and-priority.md when you need to grade evidence, resolve conflicting interpretations, or rank complex findings.

Procedure

  1. Identify audience, task goals, critical journeys, product constraints, responsive modes and available evidence. If artifacts exist, inspect them; don't guess from descriptions that conflict with artifacts.
  2. Walk the journey in goal order: entry, locate, decide, act, wait, errors/recovery, completion, return. For each observed failure, apply the taxonomy from ../ux-diagnose/references/issue_taxonomy.json and the relevant domain playbook.
  3. Inspect cross-cutting accessibility, semantics, keyboard/motion, loading/error states and trust. Keep aesthetics separate from usability. Do not claim WCAG conformance from a screenshot.
  4. Report only substantiated or clearly marked hypothesized findings. Record exact screen/component or step and concrete expected-versus-actual behavior. Limit each finding to 1 primary class + up to 2 supporting laws when possible.
  5. Rank by user harm (including low-frequency severe harms), observed frequency, persistence and recovery cost. Separate fixes that remove the cause from visual patches.
  6. For each finding: proposed change, tradeoff, and a measurable/observable acceptance check. Offer quick wins and systemic changes without pretending untested suggestions are validated.

Default output: a short executive diagnosis, then an ordered issue table with ID, evidence, location, user impact, primary class, law, severity, confidence, fix, validation. Do not produce counts or decorative scores merely to signal thoroughness. If the user requested JSON, use the issue-record schema. Cite the exact law URL when relying on it.

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