Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
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Build promo videos for local businesses in HyperFrames -- the new-menu drop, the seasonal offer, the event announcement, the "we're hiring" post, the Google Business Profile clip. Restaurant, salon, gym, trades: 15-30 seconds, brand-clean, captioned, sized for Instagram, Facebook, and the profile.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Local businesses need a steady drip of short promo video and have zero production budget -- this skill is the in-house video guy. It directs quick, renderable HyperFrames promos from whatever the business has: phone photos, the menu PDF, the offer details, the logo. Composition mechanics live in the hyperframes skill (hyperframes-cli for init/lint/preview/render, hyperframes-media for voiceover and background removal on product shots).
Promo type -- offer/sale, new item or service, event, announcement (new hours, new location), hiring, or evergreen brand clip -- plus the one detail that matters (the offer terms, the date, the dish), the assets on hand (photos, logo, menu, brand colors), and where it runs. Local promos are volume content: get to the build in minutes, not meetings.
The local promo formula, 15-30 seconds:
Photos treated with respect: real phone photos beat stock every time for local trust -- crop and pan them with intent (hyperframes-media background removal to lift product shots onto brand color when it helps). No stock footage of generic smiling people; skip stock entirely rather than fake it (stock-photo-finder only for texture/ambience gaps).
The second promo should take a tenth of the setup: save the brand tokens, logo lockup scene, and close-scene as the business's template, and offer the content calendar angle -- one promo per week (offer, item spotlight, review feature via hyperframes-testimonial-builder, behind-the-scenes) beats one perfect video per quarter.
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Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
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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.
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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.
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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.
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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.
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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.
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