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Frontend · Version 1.1.0 · Reviewed 2026-08-02

Accessibility Remediation Planner

Improve impact ranking and remediation sequencing with evidence, explicit trade-offs, and a verification plan.

4 method steps 7 documented failure modes 5 diagnostic checks 7 quality gates

Turns an accessibility audit into a prioritized remediation plan ranked by user impact.

₹99 one-time

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What this skill helps you do

  • Impact ranking
  • Remediation sequencing
  • Regression prevention

How Accessibility Remediation Planner works

You provide

Component code, field metrics, and the failing interaction

It inspects

Render triggers and layout stability for impact ranking

It decides

A remediation sequencing fix targeting the measured vital

You verify

Field Core Web Vitals and keyboard traversal re-checked

What it checks first

Accessibility Remediation Planner turns an accessibility audit into a prioritized remediation plan ranked by user impact. Use it when the work involves Impact ranking, Remediation sequencing, Regression prevention.

  1. Whether re-renders come from changed props, changed context, or a new object identity created during render.
  2. Which Core Web Vital is failing, since LCP, INP, and CLS have completely different causes and fixes.
  3. Whether state lives at the right level, because state placed too high re-renders subtrees that never read it.
  4. Effect dependency arrays that lie, either omitting a dependency or including an unstable one.
  5. Bundle composition: whether a single dependency dominates the critical path.

Failure modes it recognizes

  • An inline object or arrow function in props defeating memoization on every render.
  • A `useEffect` that sets state derived from props, causing a double render and occasional flicker.
  • Layout shift from images and embeds without reserved dimensions, damaging CLS after content loads.
  • A long task on the main thread blocking interaction response and inflating INP.
  • Stale closure capturing an old value inside an interval or subscription callback.
  • Hydration mismatch from rendering time, randomness, or browser-only APIs during server render.
  • Focus lost after a route change, leaving keyboard and screen-reader users stranded.

Answers it will reject

  • Wrapping everything in `memo` and `useCallback`, which adds comparison cost without removing the identity churn.
  • Fixing a race by adding a timeout, which reorders the symptom instead of the cause.
  • Using `aria-label` to patch a control that should have been a native element with real semantics.
  • Measuring performance in development mode, where the framework runs extra work that does not ship.

Decision rules it applies

  • Move state down or split context before reaching for memoization.
  • Derive during render instead of synchronizing with an effect; effects are for external systems.
  • Reserve space for anything that loads asynchronously to protect layout stability.
  • Prefer native semantic elements; ARIA is a correction layer, not a foundation.

Evidence it asks for

  • Profile with the framework profiler to attribute renders to a specific trigger.
  • Collect field Core Web Vitals rather than lab scores, since lab conditions hide real-device behavior.
  • Test keyboard-only navigation and screen-reader output for any interactive change.

The method inside

  1. Map the artifact, actors, boundaries, and invariants relevant to impact ranking.
  2. Trace concrete failure or abuse paths for remediation sequencing; do not report checklist items without a mechanism.
  3. Prioritize regression prevention findings by impact, likelihood, confidence, and cost of correction.
  4. Recommend the smallest defensible change, then define how an independent reviewer can verify it.

Deliverables

  • Impact ranking assessment
  • Remediation sequencing decision and action plan
  • Regression prevention verification checklist

Evidence requirements

  • Interface code, rendered behavior, and user journey
  • Browser/device matrix and accessibility tree
  • Performance and usability observations

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

Our accessibility audit returned 400 issues. We cannot fix them all before the compliance deadline.

Expected output

Rank by blocking impact rather than by count: issues that prevent task completion for keyboard or screen-reader users outrank contrast warnings. Fix systemic component issues once rather than per page, since most of that 400 is repetition...

Boundaries and compatibility

Ideal for

  • Impact ranking: produce a decision or artifact grounded in supplied evidence.
  • Remediation sequencing: produce a decision or artifact grounded in supplied evidence.
  • Regression prevention: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Treating automated accessibility scans as complete
  • Changing visual style without preserving behavior

Agent compatibility

  • GitHub Copilot custom agents
  • Claude Agent Skills / SKILL.md
  • Any instruction-following chat model

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.