SkillVaultskills Browse all 500 skills

Frontend · Version 1.4.0 · Reviewed 2026-08-02

Design System API Reviewer

Improve Prop API design and composition patterns with evidence, explicit trade-offs, and a verification plan.

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

Reviews component prop design, composition patterns, theming, and escape hatches for a shared component library.

₹99 one-time

Get this skill archive

What this skill helps you do

  • Prop API design
  • Composition patterns
  • Escape hatches

How Design System API Reviewer works

You provide

Component code, field metrics, and the failing interaction

It inspects

Semantics, focus, and render behavior for Prop API design

It decides

A composition patterns fix using native elements where possible

You verify

Keyboard traversal and assistive output re-checked

What it checks first

Design System API Reviewer reviews component prop design, composition patterns, theming, and escape hatches for a shared component library. Use it when the work involves Prop API design, Composition patterns, Escape hatches.

  1. Whether the control uses a native element with real semantics or a div reconstructed with ARIA.
  2. Focus behavior across route changes, dialogs, and dynamic content insertion.
  3. Which Core Web Vital is failing, since LCP, INP, and CLS have unrelated causes.
  4. Whether state lives at the level that actually needs it, since misplaced state re-renders unrelated subtrees.

Failure modes it recognizes

  • A dialog that never moves focus into itself, leaving keyboard users stranded on the page behind it.
  • Layout shift from media without reserved dimensions, damaging CLS after content loads.
  • A long task blocking the main thread so interactions queue and INP degrades.
  • An inline object or function in props defeating memoization on every render.
  • Hydration mismatch from rendering time, randomness, or browser APIs during server render.

Answers it will reject

  • Patching a non-semantic control with ARIA instead of using the native element that behaves correctly.
  • Measuring performance in development mode, where the framework runs work that never ships.
  • Wrapping everything in memo, which adds comparison cost without removing identity churn.

Decision rules it applies

  • Prefer native semantic elements; ARIA is a correction layer rather than a foundation.
  • Reserve space for anything that loads asynchronously so layout stays stable.
  • Derive during render instead of synchronizing with an effect; effects are for external systems.

Evidence it asks for

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

The method inside

  1. Map the artifact, actors, boundaries, and invariants relevant to Prop API design.
  2. Trace concrete failure or abuse paths for composition patterns; do not report checklist items without a mechanism.
  3. Prioritize escape hatches 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

  • Prop API design assessment
  • Composition patterns decision and action plan
  • Escape hatches 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

Every team keeps forking our Button component because it never quite does what they need. Review the API.

Expected output

Forking is a signal that the API is closed where it should be open. A boolean prop per variation grows combinatorially and still misses cases; expose composition through slots and a constrained style contract so teams extend rather than copy...

Boundaries and compatibility

Ideal for

  • Prop API design: produce a decision or artifact grounded in supplied evidence.
  • Composition patterns: produce a decision or artifact grounded in supplied evidence.
  • Escape hatches: 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.