Generate a WCAG 2.2 accessibility audit checklist and remediation suggestions for any UI or design. Use when asked to audit for accessibility, check WCAG compliance, review a design for a11y issues, or create an accessibility remediation plan. Produces a prioritised checklist with pass/fail assessments and specific fixes.
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This skill produces a structured accessibility audit based on WCAG 2.2 guidelines. It covers visual, motor, cognitive, and screen reader accessibility — with prioritised remediation for each issue found.
Work from what is given. If any of these is missing, still produce the complete output: fill each gap with a reasonable assumption marked (assumed, confirm) and list those assumptions at the end. Ask a question first only when the core subject itself is missing (there is nothing to write about).
Contrast ratios cannot be eyeballed. The AA line sits at 4.5:1, and #777777
on white is 4.478 (fails) while #767676 is 4.54 (passes) — no amount of
looking at a screenshot separates those. Compute them:
npx --yes notugly fix "#8ab4f8" "#ffffff" # ratio, APCA, and the nearest passing colour
npx --yes notugly onepager <url> --out review.html # every pairing, printable
npx --yes notugly vision # which colours merge for colour-blind viewers
notugly fix returns the ratio, the APCA lightness contrast, and the closest
colour to the one already chosen that passes — same hue, same chroma. Paste
those numbers into the tables below rather than estimating them.
Deterministic, zero dependencies, and no model call — so it costs nothing to run and gives the same answer every time.
For 1.4.3 Contrast (Minimum) and 1.4.11 Non-text Contrast, every row in the remediation table should carry a measured ratio, not an assessment. If the user supplied a screenshot rather than hex values, say so explicitly in the audit — an inferred ratio is not an audit finding.
Target standard: WCAG 2.2 Level [AA] Platform: [Platform] Date: [Date]
| Category | Issues Found | Critical | Moderate | Minor |
|---|---|---|---|---|
| Perceivable | ||||
| Operable | ||||
| Understandable | ||||
| Robust | ||||
| Total |
Overall compliance status: ✅ Compliant / 🟡 Minor issues / 🔴 Fails AA standard
alt="" to be skipped by screen readersIssues found: [List specific issues or "None"]
Issues found:
Issues found:
Issues found:
outline: none without replacement)Issues found:
Issues found:
lang attribute)Issues found:
Issues found:
| Priority | Issue | WCAG Criterion | Fix | Effort |
|---|---|---|---|---|
| 🔴 Critical | [Issue] | [e.g. 1.4.3 Contrast] | [Specific fix] | [Low/Med/High] |
| 🟡 Moderate | [Issue] | |||
| 🟢 Minor | [Issue] |
Priority definitions:
[List any issues that are trivially fixable — e.g. adding alt text, fixing contrast with a colour swap, adding a lang attribute. These are easy to ship immediately.]
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概要と使いどころ
Design a 360-degree feedback survey or write a structured 360 feedback report. Use when asked to build a 360 feedback process, write 360 feedback for a colleague, design a feedback survey, or produce a feedback report. Produces either a complete survey instrument with rating scales and open-ended questions, or a structured narrative feedback report with themes, strengths, and development areas.
日本語の概要は準備中です。原文の説明を表示しています。
Decode a 401k or workplace retirement plan — the real cost of its funds, the match's fine print, vesting math, and the plan features worth using or avoiding. Use when someone asks 'is my 401k any good', 'decode my 401k plan', 'which funds should I look at', or 'what fees am I paying'. Produces a fee decode in dollars-over-time, match and vesting math, a fund-lineup triage by cost, and the questions for HR or the plan administrator.
日本語の概要は準備中です。原文の説明を表示しています。
Design statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment, design an A/B test, calculate sample size, or interpret test results. Produces a complete test plan with hypothesis, variant definitions, sample size, duration estimate, guardrail metrics, and a results interpretation guide.
日本語の概要は準備中です。原文の説明を表示しています。
Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, interpret test data, or decide whether to ship a variant. Produces a clear verdict with the lift and confidence, segment cuts, the risks (peeking, novelty, sample), and a recommendation. Distinct from planning a test — this reads results.
日本語の概要は準備中です。原文の説明を表示しています。
Build or tailor an academic CV for faculty, postdoc, research or fellowship applications: publications, grants, teaching, supervision and service in the order the field expects, with consistent citations. Use when asked to write my academic CV, update my CV for a lectureship, tenure-track or postdoc application, format my publications list, or adapt my academic CV for an industry research role. Produces the full academic CV, a field-appropriate section order, a clean publications list in one citation style, and a two-page summary version when asked.
日本語の概要は準備中です。原文の説明を表示しています。
Plan a trip that actually works with a disability or access need — confirm real accessibility (not just 'accessible' labels), book the assistance in advance, plan for equipment and medication, and build in the contingencies for when access breaks down. Use when someone says 'plan an accessible trip', 'travelling with a wheelchair/disability', 'book assistance for my flight', or 'will this hotel actually work for me'. Produces an access-verified itinerary, an assistance-booking checklist, an equipment/medication plan, and contingency scripts. Verify specifics with providers.
日本語の概要は準備中です。原文の説明を表示しています。