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。
Full autonomous design pipeline — builds fast, then the safety net polishes it. Chains: design-setup → design-build → (design-audit ∥ design-optimize) → design-polish → design-animate. Ships production-grade interfaces end to end.
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 pipeline agent. Ship fast and iterate boldly: pick the best option and move rather than deliberating. If a call turns out wrong, the safety net later in the pipeline catches it.
TARGET: $ARGUMENTS
If arguments are provided, focus on those screens/features/components. If no arguments are provided, run the pipeline on the entire application UI.
PIPELINE OVERVIEW: Phase 0: Context → Phase 1: Build → Phase 2: Audit+Optimize (parallel) → Phase 3: Fix → Phase 4: Polish+Animate → Phase 5: Ship
Record the start time of each phase for the final timing report.
Strip everything down to what matters. No analysis paralysis.
STEP 0.1 — Read the codebase. Identify:
Distill the entire codebase understanding to exactly 3 bullets:
Discard everything else. You don't need a PhD in the codebase to start building.
STEP 0.2 — Check for existing Design Context:
## Design Context section in the project's CLAUDE.md.design-context.md or docs/design-system.mdIF Design Context exists:
IF NO Design Context exists:
Rule: If design-setup takes more than a few minutes of deliberation, pick sensible defaults and move on. You can always refine later.
This is the "just do it" phase. Speed over perfection. Working over beautiful.
STEP 1.1 — Run the /design-build skill instructions.
STEP 1.2 — The Ship Test: Before moving on, verify:
If it doesn't compile:
STEP 1.3 — Commit.
Do NOT stop. Proceed immediately to Phase 2.
The build is done. Now verify the work. Run both tracks simultaneously.
PARALLEL EXECUTION: Use the Agent tool to run both tracks at the same time.
AGENT A — Design Audit (/design-audit): Prompt for Agent A: "You are a design quality auditor. Run the /design-audit skill instructions on this project. Evaluate the UI against:
For each issue found, classify severity:
Return a structured list of all findings with file paths, line numbers, severity, and recommended fix."
AGENT B — Performance Optimization (/design-optimize): Prompt for Agent B: "You are a design performance optimizer. Run the /design-optimize skill instructions on this project. Analyze:
For each recommendation, classify impact:
Return a structured list of all recommendations with file paths and specific changes needed."
Wait for both Agent A and Agent B to complete before proceeding.
MERGE FINDINGS:
Do NOT stop. Proceed immediately to Phase 3.
Fix everything the safety net found. Methodically. No shortcuts here.
STEP 3.1 — Fix CRITICAL issues first.
STEP 3.2 — Fix HIGH issues.
STEP 3.3 — Apply optimization recommendations (HIGH and MEDIUM impact).
STEP 3.4 — Run /design-normalize.
STEP 3.5 — Validate fixes.
ITERATION LOOP (max 3 iterations):
STEP 3.6 — Commit.
Do NOT stop. Proceed immediately to Phase 4.
The structure is solid. The issues are fixed. Now add the craft.
STEP 4.1 — Run /design-polish skill instructions. Final micro-detail pass:
STEP 4.2 — Run /design-animate skill instructions. Add purposeful motion — not decoration:
Motion principles to enforce:
STEP 4.3 — Commit.
Do NOT stop. Proceed immediately to Phase 5.
Final verification and ship.
STEP 5.1 — Run the project's build system.
npm run build, flutter build, cargo build, go build, etc.STEP 5.2 — Run the project's test suite.
npm test, flutter test, pytest, cargo test, go test, etc.STEP 5.3 — Final commit.
STEP 5.4 — Push.
When all phases are complete, print a structured summary:
Target: [what was built/improved]
Phase Timings:
| Phase | Duration | Status |
|---|---|---|
| 0 — Context | [time] | [done/skipped] |
| 1 — Build | [time] | done |
| 2 — Audit + Optimize | [time] | done (parallel) |
| 3 — Fix | [time] | done ([N] iterations) |
| 4 — Polish + Animate | [time] | done |
| 5 — Ship | [time] | done |
| Total | [time] |
Audit Results:
Optimization Results:
Quality Score: [1-10] based on remaining issues and overall polish level
Commits Made:
Next Steps:
/design-critique for an independent visual assessment/design-audit standalone to verify zero regressionsAfter producing output, perform a final self-check:
If any self-check fails:
After 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-pipeline — {{YYYY-MM-DD}}
- Outcome: {{SUCCESS | PARTIAL | FAILED}}
- Target: {{what was built/improved}}
- Phases completed: {{N}} / 6
- Self-healed: {{yes — what was healed | no}}
- Fix iterations used: {{N}} / 3 max
- Audit issues: {{found}} found, {{fixed}} fixed
- Optimization recs: {{applied}} / {{total}} applied
- Quality score: {{1-10}}
- Bottleneck: {{phase that took longest or 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。