ux-toolkit_skill
- Python
5
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
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Installation
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npx veilstrat add skill georgekhananaev/claude-skills-vault --skill ux-toolkit- SKILL.md9.3 KB
Overview
This skill is a professional-grade, framework-agnostic UX evaluation toolkit for web, mobile, and desktop applications. It bundles systematic checklists, accessibility inspectors, flow analysis, and report generation to produce actionable, prioritized UX findings. Use it to run heuristic audits, WCAG reviews, responsive testing, and interaction evaluations with clear severity and effort guidance.
How this skill works
The skill loads targeted sub-workflows depending on audit type (full, accessibility-only, usability, responsive, design system, content, AI, or privacy). It runs automated scans (axe-core, Lighthouse) where applicable, executes manual checklists, captures findings with severity and estimated effort, then generates prioritized reports in Markdown, JSON, or CSV. Outputs include remediation guidance, tool recommendations, and a prioritization matrix to turn findings into sprint-ready tasks.
When to use it
- Performing a full UX audit across product flows and screens
- Validating WCAG 2.2 A/AA/AAA accessibility compliance
- Analyzing user flows for friction, drop-off, or cognitive load
- Testing responsive behavior and touch/keyboard interactions across devices
- Auditing design system consistency, tokens, and component usage
- Reviewing AI/ML interfaces, explainability, and privacy/ethics risks
Best practices
- Define scope up front: screens, primary flows, platform, and target WCAG level
- Combine automated scans with manual, context-aware checks for accuracy
- Classify each finding by severity and effort to enable pragmatic prioritization
- Include representative user tasks and competitive benchmarks for context
- Document remediation steps and link to code/design owners for quick fixes
- Run lightweight audits regularly and full audits before major releases
Example use cases
- Quick A11Y sweep before a release to catch keyboard traps and contrast issues
- Heuristic review of onboarding flow to reduce drop-off and cognitive load
- Design system audit to surface inconsistent tokens and duplicate components
- Responsive and interaction audit for a major layout redesign across breakpoints
- Privacy and ethics review for a new data-driven feature to detect dark patterns
FAQ
Quick scans take 1–2 hours; focused audits 3–6 hours; heuristic reviews 2–4 hours; a full UX audit 1–2 days depending on scope.
Which output formats are supported?
Reports can be generated as Markdown, JSON, or CSV to suit documentation, bug trackers, or spreadsheets.
Does it cover WCAG 2.2?
Yes — the toolkit includes checks for the nine WCAG 2.2 criteria and supports A/AA/AAA targets.