Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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。
Svelte and SvelteKit expert including components, stores, and routing
インストールする前に、エージェントに与えられる指示の中身を確認できます。
When reviewing or writing code, apply these guidelines:
When reviewing or writing code, apply these guidelines:
When reviewing or writing code, apply these guidelines:
$:) for reactivity, e.g. bind:valueWhen reviewing or writing code, apply these guidelines:
components/auth-form.svelte).This expert skill consolidates 1 individual skills:
$:) in new code — use Svelte 5 runesload functions for data fetching in SvelteKit$state and $derived runes+error.svelte error boundaries for every route group that can fail| Anti-Pattern | Why It Fails | Correct Approach |
|---|---|---|
| Using Svelte 4 reactive syntax | Legacy patterns conflict with rune-based reactivity | Use $state(), $derived(), and $effect() runes in all new code |
| Global stores for local state | Unnecessary coupling; component state leaks | Use $state rune for component-local reactive state |
| Ignoring SvelteKit routing conventions | Manual routing breaks framework integration | Follow file-based routing; use +page.svelte and +layout.svelte |
Missing +error.svelte handlers | Unhandled route errors produce blank pages | Add +error.svelte to every route group that can fail |
| Skipping accessibility attributes | Screen readers and keyboard users cannot use the UI | Always add ARIA labels and test keyboard navigation |
Before starting:
cat .claude/context/memory/learnings.md
After completing: Record any new patterns or exceptions discovered.
ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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。
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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。
N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
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。
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
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。
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
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。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
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。