React 18 patterns for LlamaFarm Designer. Covers components, hooks, TanStack Query, and testing.
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React 18 patterns for LlamaFarm Designer. Covers components, hooks, TanStack Query, and testing.
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。
Assess an A-share portfolio company's AI readiness for China-focused private equity investments. Evaluates data infrastructure, technology stack, talent, and AI adoption opportunities in the Chinese market context. Triggers on "A股公司AI评估", "AI readiness China", "AI assessment portfolio company", "AI转型评估", or "artificial intelligence readiness [company]".
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 when building inventory systems — Resource-based items, slot management, stacking, and UI binding
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Builds an offer too good to refuse. Lists every problem the buyer hits on the way to the result they want, turns each into a solution, trims to what is cheap to deliver and valuable to the buyer, and stacks it with honest bonuses, a guarantee the CFO can afford, real urgency and a clear name. Scores it on the value equation (outcome, likelihood, time, effort) and re-tests it on a quick buyer panel. Use when the user says "make my offer better", "why won't people buy", "what should I include", "guarantee", "bonuses", "grand slam offer", or after the panel shows people passing.
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Configure and author rgthree-comfy nodes — Fast Groups Bypasser/Muter (group toggles), Power Lora Loader, Context/Context Big, Seed, Any Switch. Use when a workflow contains rgthree nodes, when asked to add stage/section toggles or an A/B switch, when stacking LoRAs, or when an rgthree node needs configuring. Covers the frontend-only nodes that are absent from /object_info and the properties-not-widgets configuration model.
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Author ComfyUI-LoRA-Manager nodes from the panel. Use when adding a LoRA Manager loader, stacker, prompt, or text node, or when panel_add_node refuses AUTOCOMPLETE_TEXT_LORAS / AUTOCOMPLETE_TEXT_PROMPT after waiting for a widget.
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Pick the right ComfyUI startup flags for VRAM, attention, caching, and speed. The full decision matrix for OOM (--novram / --cache-none / --disable-smart-memory), shared-VRAM creep on Windows (--reserve-vram N), model-switching with big text encoders (--cache-none), high-VRAM throughput (--gpu-only / --highvram), and attention-backend selection (--use-sage-attention for speed, --use-pytorch-cross-attention as the highest-quality / Z-Image-safe fallback). Also the acceleration-stack + Blackwell/RTX 5000 (sm_120) notes. Use when a graph OOMs (especially long video like LTX 2 / WAN), when the GPU spills into shared VRAM and slows to a crawl, when switching between models eats all RAM, when Z-Image produces black/garbled output under Sage, or when deciding which attention backend to launch with. Flag names verified against upstream comfy/cli_args.py; see Sources.
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。
Extend / continue a video temporally with Pusa 2.2 in ComfyUI. Temporal flowmatching (the flowmatch_pusa scheduler + WanVideoAddPusaNoise) on the WanVideoWrapper stack with WAN 2.2 T2V A14B (HIGH/LOW) models and the Pusa V1 LoRAs, conditioning on the loaded clip via WanVideoEncode so the existing motion carries into the continuation. Covers the kijai wanvideo_2_2_14B_Pusa_extension graph, model/LoRA slots + downloads, noise/length/scheduler settings, chaining multiple extensions, VRAM tiers, gotchas, and the extend→upscale handoff.
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。
SwiftUI navigation architecture patterns including NavigationStack, NavigationSplitView, TabView, programmatic navigation, and custom transitions. Use when reviewing or building navigation, fixing navigation bugs, or architecting app flow.
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Guides you through comprehensive iOS/Swift app planning and analysis. Use for new apps (concept to architecture) or existing apps (audit current state, plan improvements, evaluate tech stack). Covers product planning, technical decisions, UI/UX design, and distribution strategy.
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Plans new macOS apps or analyzes existing projects. Creates comprehensive planning documents covering architecture, features, UI/UX, and tech stack. Use when planning a new macOS app or auditing an existing one.
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Generates technical architecture specification from PRD. Covers architecture pattern, tech stack, data models, and app structure. Use when creating ARCHITECTURE.md or designing system architecture.
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SwiftUI framework skills — data flow (identity, Observation, state ownership), layout & containers (Layout protocol, lazy-stack performance), AlarmKit, 3D charts, rich text editing, customizable toolbars, and WebKit embedding. Use for SwiftUI state/rendering bugs, custom layouts, scroll performance, or these feature areas.
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Expert knowledge for Azure Resource Manager development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when authoring Bicep/ARM templates, using CLI/SDK/REST, deploying stacks/registries, or securing with Key Vault/RBAC, and other Azure Resource Manager related development tasks. Not for Azure Policy (use azure-policy), Azure Resource Graph (use azure-resource-graph), Azure Portal (use azure-portal), Azure Role-based access control (use azure-rbac).
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。
Expert knowledge for Azure Load Balancer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring backend pools/rules, SNAT/outbound, dual-stack IPv4/IPv6, health probes, or LB metrics/APIs, and other Azure Load Balancer related development tasks. Not for Azure Application Gateway (use azure-application-gateway), Azure Front Door (use azure-front-door), Azure Traffic Manager (use azure-traffic-manager), Azure Virtual Network (use azure-virtual-network).
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。
Coupon and promotion planning — coupon types, stacking rules, deal timing, redemption optimization
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。
Extract the actual cause from a stack trace instead of pattern-matching the error type. Use on any crash or exception.
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Systematically trace bugs backward through call stack to find original trigger
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。
Design irresistible affiliate offers using the Hormozi Grand Slam framework. Triggers on: "create an offer for", "design my offer", "grand slam offer", "make an irresistible offer", "why should someone buy through my link", "offer framework", "value proposition for", "Hormozi offer", "offer stack", "make my offer irresistible", "craft an offer", "what makes my offer different", "offer design", "increase perceived value".
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。
Plan and grow an email newsletter. Use when the user says "newsletter strategy", "grow my newsletter", "newsletter content", "email newsletter", "subscriber growth", "newsletter monetization", "Substack strategy", "Beehiiv", or asks about building, growing, or monetizing a newsletter.
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Plug-in web search, X (Twitter) search, and page fetch for models without native web access. Use whenever the task needs current information, external facts, source links, posts from X, or the content of a specific URL, and the active model/harness has no native search or fetch tool. Runs the modsearch CLI to return structured JSON evidence. Also use when the user asks how to install or configure modsearch, or wants to switch engines or add a key.
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Unified hotel comparison across Chase Edit, Amex FHR/THC, metasearch, and Airbnb. Highlights premium program benefits, stacking opportunities, and benefit-adjusted pricing.
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Search Amex FHR/THC and Chase Edit hotels by city. Compare credits, benefits, and find stacking opportunities across card programs.
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 when the user asks to make an existing website or app look premium, remove generic AI-looking design, or polish a UI without changing functionality. Audits the stack, lists the generic AI patterns, and upgrades in place.
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。