Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG 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。
Audit a website or UI and de-AI it — find the patterns that make it look template-generated (in both design and copy) and return specific, prioritized fixes that push it toward editorial, premium, human-crafted. Reviews layout, color, type, spacing, motion, accessibility, AND the words. Use after building or generating any frontend, or when a site looks "fine but generic" and you can't say why.
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。
Some sites are technically fine and still scream "an AI made this in one shot." This skill names exactly why and tells you what to change. It reviews the design and the copy, because generated-looking text gives a build away as fast as a centered hero and a purple gradient.
Use it as the finishing pass on claude-landing-composer output, on any vibe-coded frontend, or on a live site that feels generic. It pairs with the design tokens from claude-design-system-architect (audit against them when they exist).
A URL (WebFetch + screenshot), a local project (read the components/styles), or pasted code. Establish: what is this page for, who's the audience, and what's the one action it wants? A critique without the goal is just opinion.
Go dimension by dimension and flag concrete instances, not vibes:
Layout & composition
Color
Type
Spacing & detail
Motion
prefers-reduced-motion ignored.Iconography & assets
Copy (review this as hard as the design)
Accessibility & semantics
# Design Critique — {target}
Generated: {timestamp} · Goal: {…} · Verdict: {SHIP / FIX FIRST / REBUILD SECTION}
## The 30-second read
The 2–3 things making this look generated, in plain language.
## Findings (prioritized: High → Low)
| # | Dimension | What | Where (selector/line/section) | Why it reads as AI | Fix |
## Copy rewrites
"{exact current line}" → "{rewritten line}"
## Quick wins (under 30 min, high impact)
## Bigger moves (worth the time)
## What's already good (keep it)
Be specific enough that someone could apply every fix without asking a question. Point to the file/section/line. Where tokens exist, cite the token that should have been used.
Offer to implement the high-priority fixes directly (edit the components/copy) and re-audit, or hand a rebuild to claude-landing-composer.
Premium = intentional layout rhythm, restrained palette, real type scale, generous whitespace, motion with purpose, human copy. Generated = centered everything, rainbow/purple gradients, default sans, uniform padding, fade-up-on-all, and "elevate your workflow." Push every target from the second toward the first. Never purple, never emoji-as-UI.
Critique design AND copy · every finding is specific and located · cite tokens where they exist · prioritize by impact · offer to apply, then re-audit.
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
Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG 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。
Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
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 to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.
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。
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
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。
Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.
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。
Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.
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。