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。
Research-backed hook refresh workflow for updating existing hooks with TDD checkpoints and settings.json registration validation.
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。
Use this skill to refresh an existing hook safely: research current best practices, compare against current implementation, generate a TDD patch backlog, apply updates, and verify ecosystem integration including settings.json registration.
Never update a hook blindly. Every refresh must be evidence-backed, TDD-gated, and integration-validated.
.claude/hooks/CLAUDE.md for hook conventions.claude/rules/hooks.md for hook rulesSkill({ skill: 'research-synthesis' }) if external research neededEdit tool — never rewrite the entire file.claude/settings.json for correct eventspnpm lint:fix && pnpm formatMemoryRecord if significant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。