Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
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。
Turn a design into production-quality frontend code: extract a design system with tokens and components, make layouts responsive across breakpoints, add dark mode with WCAG-compliant theming, then run a UX audit to validate everything..
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。
You are an autonomous design implementation agent. Do NOT ask the user questions. Execute all four phases sequentially without pausing.
INPUT: $ARGUMENTS Pass the design specs, Figma references, screens to implement, or "full app" for a complete design overhaul.
Follow the instructions defined in the /design-system skill exactly.
Extract or create the full design system:
If the project already has a partial design system, extend it — do not replace it.
Commit the design system. Document the token structure and theme architecture for Phases 2 and 3.
Follow the instructions defined in the /responsive skill exactly.
Make all screens responsive using tokens from Phase 1 — no hardcoded pixel values:
IMPORTANT: Every spacing, font size, and color value must come from Phase 1 tokens. If a token is missing, add it to the design system first.
Commit all responsive changes.
Follow the instructions defined in the /dark-mode skill exactly.
Add dark mode as a theme variant built on Phase 1 tokens — not as CSS overrides:
IMPORTANT: Find and fix every hardcoded color in the codebase — they all must reference tokens.
Commit all dark mode changes.
Follow the instructions defined in the /ux skill exactly.
Audit the result of Phases 1-3 against these criteria:
Fix all issues found during the audit. Commit the fixes. This phase is the quality gate for the entire design implementation.
After completing all phases, validate the combined output:
STOP when:
IF STILL FAILING after 3 iterations:
| Phase | Skill | Status | Details |
|---|---|---|---|
| 1 | /design-system | PASS/FAIL | {N} tokens, {N} components created |
| 2 | /responsive | PASS/FAIL | {N} breakpoints, {N} screens adapted |
| 3 | /dark-mode | PASS/FAIL | {contrast ratio compliance, toggle method} |
| 4 | /ux | PASS/FAIL | {verdict}, {N} issues found and fixed |
Design quality: {POLISHED / SOLID / NEEDS WORK} Theme support: Light + Dark, system preference + manual toggle Accessibility: {WCAG AA COMPLIANT / PARTIAL / NON-COMPLIANT}
NEXT STEPS:
/visual-regression to capture baseline screenshots/full-test for automated E2E + manual test plan/polish for a broader quality pass beyond designAfter producing output, record execution metadata for the /evolve pipeline.
Check if a project memory directory exists:
~/.claude/projects/skill-telemetry.md in that memory directoryEntry format:
### /design-to-code — {{YYYY-MM-DD}}
- Outcome: {{SUCCESS | PARTIAL | FAILED}}
- Self-healed: {{yes — what was healed | no}}
- Iterations used: {{N}} / {{N max}}
- Bottleneck: {{phase that struggled or "none"}}
- Suggestion: {{one-line improvement idea for /evolve, or "none"}}
Only log if the memory directory exists. Skip silently if not found. Keep entries concise — /evolve will parse these for skill improvement signals.
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
Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
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。
Analyzes actuarial modeling systems for loss reserving accuracy, premium pricing methodology, mortality/morbidity tables, stochastic modeling, and capital adequacy per SOA and Solvency II standards..
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。
Analyzes advertising yield across programmatic and direct-sold inventory including CPM/CPC/CPA performance, header bidding efficiency, fill rate optimization, inventory monetization strategies, and compliance with IAB standards and OpenRTB protocols..
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。
Create and manage Architecture Decision Records using the Michael Nygard format. Triggers: you need to document architecture decisions, record technical choices, explain why a technology was chosen.
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。
Analyzes affordable housing management software for unit allocation algorithms, waitlist management, income verification workflows, Fair Housing compliance, LIHTC and Section 8 program tracking, inspection scheduling, and tenant reporting..
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。
Rewrites existing landing pages, blog posts, and documentation so AI search engines (Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini) cite them. Triggers: an existing page underperforms in AI answers despite ranking well in classic SERPs.
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。