1,471 件 ・ 関連度順
概要と使いどころ
Comparable company analysis for A-share equities. Adapts the original comps-analysis skill for Chinese market data sources, A-share trading multiples, and domestic peer selection. Triggers on "A股可比公司", "可比分析", "comps China", "peer comparison A-share", "可比公司分析", or "trading comps [industry]".
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 designing a new Godot feature or system — guides scene tree planning, node type selection, and architectural decisions
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。
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。
Use when the user wants to optimize configurable system parameters against a measurable scalar objective, especially for model training, inference, quantitative strategies, reinforcement learning, scientific workflows, or other expensive black-box evaluations where reading the project can improve trial selection.
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。
3D chart visualization with Swift Charts using Chart3D, SurfacePlot, interactive pose control, and surface styling — plus a 2D Swift Charts construction reference (marks, axes, selection, SectorMark, scrollable charts). Use when creating data visualizations with Swift Charts.
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。
Build and engage a user community around your indie app. Covers platform selection, building in public strategy, content calendars for solo developers, and converting community members into advocates. Use when user wants to grow social media presence, start building in public, or create a content strategy.
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。
Generates an in-app feedback collection form with category selection, text input, optional screenshot attachment, device diagnostics, and smart routing — directing happy users to App Store reviews and unhappy users to support. Use when user wants feedback, bug reports, feature requests, or contact support forms.
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。
Generates state preservation and restoration infrastructure for navigation paths, tab selection, scroll positions, and form data across app launches and background termination. Use when user wants to save/restore app state, remember where the user left off, or persist UI state.
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。
AttributedString patterns for rich text formatting, alignment, selection, and SwiftUI integration. Use when working with styled text, text editing, or AttributedString APIs.
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。
Foundation framework skills — AttributedString patterns for rich text formatting, alignment, selection, and SwiftUI integration. Use when working with styled text or AttributedString APIs.
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。
Monetization strategy for iOS/macOS apps. Covers readiness assessment, pricing model selection, tier structuring, free trial strategy, and implementation guidance. Use when deciding what to charge, how to price, or planning monetization end-to-end.
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。
This is an advanced version of TDbasedUFE, which is a comprehensive package to perform Tensor decomposition based unsupervised feature extraction. In contrast to TDbasedUFE which can perform simple the feature selection and the multiomics analyses, this package can perform more complicated and advanced features, but they are not so popularly required. Only users who require more specific features can make use of its functionality.
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。
为朋友圈九宫格选择质量高、重复少、内容与时空分布丰富的照片。
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。
Upload a CSV of leads + a variants YAML (produced by /campaign-copywriting) to Smartlead as a DRAFT campaign. Handles tag-scoped inbox selection, A/B/C variant assembly, custom field mapping, schedule config, and batch lead upload. ALWAYS creates in DRAFT — you review in Smartlead UI and hit Start manually. Use after /campaign-copywriting, just before the campaign goes live.
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。
Amazon repricing strategy and Buy Box optimization. Competitive pricing analysis, dynamic pricing rules, margin protection strategies, repricing tool selection, and automated pricing workflows. Use when the user asks about Amazon repricing, pricing strategy, Buy Box optimization, competitive pricing, or dynamic pricing.
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。
Vine review program strategy — enrollment, product selection, timing, review quality maximization
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。
Private label launch playbook — product selection, branding, supplier management, differentiation strategy
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。
Applies the Bullseye Framework from Traction by Gabriel Weinberg and Justin Mares. Use when choosing growth channels, testing customer acquisition strategies, or deciding where to spend marketing effort. Covers all 19 traction channels with selection methodology, testing protocol, and phase-matched channel advice. Triggers include 'how do we get customers', 'which marketing channel should we use', 'we have a product but no users', 'our growth has stalled', 'should we do content marketing or paid ads', 'how do we test traction channels', 'what channels work at our stage'. NOT for product development (use Lean Startup), not for positioning/messaging (use Obviously Awesome), not for pricing (use Monetizing Innovation), not for enterprise sales methodology (use SPIN Selling).
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。
Applies the SUCCESs Framework from Made to Stick by Chip Heath and Dan Heath. Use when crafting messages that need to be remembered, writing pitches, creating presentations, designing training materials, telling stories that drive action, or diagnosing why a message isn't landing. The six principles (Simple, Unexpected, Concrete, Credible, Emotional, Stories) diagnose and fix communication failures. Triggers include 'how do I make this memorable', 'my pitch isn't landing', 'people forget what we told them', 'how do I tell a better story', 'our training materials are boring', 'how do I present data compellingly', 'nobody remembers our message', 'how do I get people to care about this', 'my writing is too abstract'. NOT for channel selection (use Traction), not for brand messaging structure (use StoryBrand), not for positioning (use Obviously Awesome).
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。
Applies the StoryBrand SB7 Framework from Building a StoryBrand by Donald Miller. Use when writing website copy, crafting brand messaging, creating marketing materials, building sales funnels, or designing email campaigns. The SB7 Framework positions the customer as the hero and the brand as the guide across 7 story elements. Triggers include 'how should we write our website', 'our messaging is confusing', 'customers don't understand what we do', 'how do I write a tagline', 'what should our homepage say', 'nobody reads our emails', 'how do I create a lead generator', 'our marketing isn't working but our product is good'. NOT for growth channel selection (use Traction), not for product positioning against competitors (use Obviously Awesome), not for pricing (use Monetizing Innovation).
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。
Frameworks from Kim & Mauborgne for creating uncontested market space and making competition irrelevant. Use when reframing competitive strategy, escaping commoditization, designing a new category, or applying Strategy Canvas, ERRC, Six Paths, Three Tiers of Noncustomers, Buyer Utility Map, or Strategic Sequence. Includes selection-bias caveats and inline decline notes for iconic cases that later collapsed.
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。
Create isolated git worktrees with smart directory selection and safety verification
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 is unsure which Higgsfield workspace fits their task, needs to decide between Cinema Studio / Lipsync Studio / Draw-to-Video / Viral Hub presets / Click to Ad / Higgsfield Audio (Sora 2 Trends is built on the retired Sora 2), or is asking 'what should I use for X'. This sub-skill routes by production problem BEFORE model selection.
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 about Higgsfield Assist (the built-in GPT-5 copilot), how to use the platform's native AI assistant, credit optimization strategies, plan selection, how to get more from fewer credits, or platform efficiency tips.
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。