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。
Turn a website URL, product docs, or a founder's rambling description into a tight 60-90 second explainer video built in HyperFrames -- problem/solution narrative, animated product walkthrough scenes, captions, and voiceover, ready for the homepage hero, sales emails, and onboarding.
インストール方法を見る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。
Every product needs the 75-second answer to "what is this and why do I care," and most teams either skip it or pay an agency five figures for it. This skill directs a real, renderable explainer from whatever source material exists. It owns the narrative and assembly; composition mechanics, captions, transitions, and TTS live in the hyperframes skill (hyperframes-cli for init/lint/preview/render, hyperframes-media for voiceover, website-to-hyperframes when the source is a site to visually mine).
From the URL (fetch and read it), docs, or interview: who it is for, the painful before-state, what the product does (in outcomes, not features), the 2-3 capabilities that prove it, and the action to take. If the source material buries the value proposition in jargon, the script fixes that -- write what the customer would say, not what the About page says.
The explainer arc, ~150-190 words for 60-90 seconds of comfortable VO:
Every sentence read aloud before it ships; explainer VO exposes written-word clunk instantly.
design-style-installer / existing token sets; no purple, no emoji); captions synced for muted viewing; VO via the media pipeline -- offer two voice options before rendering the full track.The hero cut (16:9), a square social cut, and a 30s trim (open + best capability + CTA) for ads and email embeds. Include the poster frame and a one-line embed recommendation (muted autoplay with captions for the homepage).
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。