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。
Turns a screenshot, mockup, Figma export, or photo of a UI into working front-end code - React + Tailwind CSS v4 by default, or Next.js, Vue, or plain HTML/CSS - matching layout, spacing, colors, and typography, then renders the result and compares it against the image to close visual gaps. Use whenever the user shares an image of a website, app screen, dashboard, component, or wireframe and wants it built, cloned, recreated, or "made real", or says "code this up", "build this design", or "match this screenshot".
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。
Recreate the UI in the image as clean, responsive, accessible code, then check the render against the image.
Pick the target stack. If the user is inside a project, match it: read package.json for React/Next/Vue and the Tailwind version, and reuse existing components, tokens, and icon libraries. Do not ask when the repo already answers it. With no project:
index.html (Tailwind via the browser build, see references/stack-setup.md).Write a short spec before coding. Looking at the image, note:
Estimate sizes from the image resolution. If the screenshot is 2x (a Retina capture 2880px wide is a 1440px layout), halve the pixel measurements.
Build. Use semantic elements (header, nav, main, section, button, a), extract repeated pieces into components, and put tokens in one place (Tailwind v4 @theme or CSS custom properties) rather than scattering hex codes. Use real text from the image, not lorem ipsum. For images and logos you cannot extract, use sized placeholders with descriptive alt text. Use an icon library the project already has (default: lucide-react), not hand-drawn SVGs or emoji.
Make it responsive. Build for the screenshot's viewport first, then define how it collapses: multi-column grids stack, navs become a menu button, and type scales down with clamp() or responsive utilities. If the screenshot is mobile, go the other direction.
Render and compare. If you can run a browser (Playwright, a headless browser, or a browser tool), screenshot the result at the source image's viewport width and compare side by side. See references/visual-check.md. Fix the largest differences first: layout and alignment, then spacing, then type size and weight, then color. Two or three passes is usually enough; stop when remaining differences are at the level of font rendering.
Deliver. Provide the files, how to run them, and a short list of assumptions (fonts guessed, states invented, content inferred). Name anything that needs real assets.
propTypes checks were removed from React 19; do not add them. forwardRef is not needed for passing ref to function components.@import "tailwindcss"; and @theme { --color-brand: #...; }, not a tailwind.config.js and not the v3 @tailwind base/components/utilities directives. Custom tokens become utilities automatically (bg-brand).app/, components are Server Components by default. Add "use client" only to components that use state, effects, or event handlers.Setup commands for each stack are in references/stack-setup.md.
Input: a 1440px-wide screenshot of a pricing section - centered heading, three plan cards with the middle one highlighted, feature checklists, and a button per card.
Spec:
#0B1220, card #111A2E, accent #3B82F6, text #E5E7EB, muted #94A3B8; Inter-like sans; radius 12pxPlanCard with name, price, features[], highlighted, ctaBuild: PricingSection.tsx mapping a plans array into PlanCard; highlighted adds an accent border and a "Most popular" label; grid-cols-1 md:grid-cols-3. Check icons from lucide-react.
Compare: the first render has cards 40px too tall because of button padding, and the heading weight is 600 against a 700 in the image. Fix both, re-render, and deliver with an assumptions list: toggle not built, font assumed Inter.
focus-visible styles even though the screenshot cannot show them. Inputs need labels.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。