163 件 ・ 関連度順
概要と使いどころ
Jekyll 博客发布流水线：按 Iris 文风（时间锚定开场、括号旁白、em-dash 转折、Key Stats 表格）生成文章， 附带 frontmatter（title / date / canonical_url / hreflang_ja / hreflang_ko / FAQ schema）、 多语言同步（en/ja/ko）、自动建内链。当用户说"写一篇博客"、"发新文章"、"同步日韩版本"时调用。 默认 dev/B2B 读者；2C 教育/医疗/金融（YMYL）内容的 E-E-A-T 与分发渠道不同，见 gingiris-seo-geo/references/2c-adaptation.md。
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。
Systematic backlink building for indie founders. Covers 5 channel types ranked by GEO + SEO ROI: Wikipedia (entities), authoritative media (PR), industry reviews (G2/Capterra/Product Hunt), Reddit/Quora discussions, and HARO/Featured.com expert quotes. Designed for 0→1 sites where domain authority is the bottleneck. Aligns with 2026 Google/Bing GEO guidance: backlinks are the strongest brand-authority signal AI search engines use to decide citations. Defaults to dev/B2B link sources; for 2C products (education, consumer apps) authority links differ — see gingiris-seo-geo/references/2c-adaptation.md.
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。
Analyze agricultural climate risk systems for weather impact modeling, crop insurance, drought/flood prediction, soil moisture, and carbon tracking. Use when: 'assess crop climate risk', 'evaluate weather yield models', 'review crop insurance integration', 'audit drought prediction', 'check carbon sequestration tracking', 'analyze farm adaptation planning', 'evaluate DSSAT or APSIM models'.
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。
Human modification of Earth's systems and the geographic dimensions of environmental change. Covers climate change science (greenhouse effect, feedback loops, projections), deforestation and land use change, desertification and soil degradation, water resource management, biodiversity loss and conservation geography, pollution and environmental justice, and sustainability frameworks. Use when reasoning about human impacts on the environment, environmental policy, conservation planning, climate adaptation, or the spatial distribution of environmental risks.
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。
Practical naked-eye and binocular sky observing. Covers dark adaptation, limiting magnitude, constellation recognition, star hopping, the messier and Caldwell catalogs accessible without a telescope, the Moon, planets, meteor showers, aurorae, and the ethics and habits of observing under light-polluted and dark skies. Use when teaching someone to find their way around the sky, planning a naked-eye session, or choosing a first binocular tour.
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。
GSD-OS bootstrap guide — from freshly unzipped directory to fully operational development environment. Covers prerequisite detection, workspace setup, service bring-up, magic level adaptation, error recovery, and the you-can't-break-it guarantee.
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。
Walks a user from one rough content idea to a finished post, platform-adapted variants, and repurposed follow-on assets using a 7-step sequential prompting workflow. Use when the user wants to turn a half-formed idea, frustration, story, or client situation into publishable content quickly and consistently — covering idea extraction, hook generation, outline, draft, humanizer pass, platform adaptation (LinkedIn, Reddit, X/Twitter, newsletter, Telegram), and repurpose engine.
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 user-centered, accessible interface copy (microcopy) for digital products including buttons, labels, error messages, notifications, forms, onboarding, empty states, success messages, and help text. Use when writing or editing any text that appears in apps, websites, or software interfaces, designing conversational flows, establishing voice and tone guidelines, auditing product content for consistency and usability, reviewing UI strings, or improving existing interface copy. Applies UX writing best practices based on four quality standards — purposeful, concise, conversational, and clear. Includes accessibility guidelines, research-backed benchmarks (sentence length, comprehension rates, reading levels), expanded error patterns, tone adaptation frameworks, and comprehensive reference materials.
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。
Reverse-engineer a supplied video into a shot-by-shot generation specification, displayed evidence frames, and paired Chinese-English prompt packages. Use for requests such as 视频反推提示词, 视频转提示词, 从视频生成提示词, 视频逆向提示词, 逐镜头反推, 分镜拆解并生成提示词, 反推视频 prompt, or video-to-prompt; also use for Veo, Sora, Kling, Wan, generic prompt adaptation, and bounded generate-compare-optimize loops. Do not use for ordinary video summaries or basic transcription.
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。
Builds regime detection models with hidden Markov, threshold, and Bayesian change-point methodologies for strategy adaptation. Use when modeling regime changes, detecting market shifts, or adapting strategies to market conditions.
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。
Adapt designs for narrow, medium, wide, embedded, or print web contexts without losing usability, hierarchy, or target sizing. Use when the user mentions responsive design, breakpoints, narrow layouts, viewport changes, touch-capable browsers, or cross-context adaptation.
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, implement, or improve an internationalization and localization strategy for UI content, formatting, and regional adaptation. Use when the user asks to add i18n, localize, translate, support multiple languages, handle regional formats, manage locale switching, or build a multilingual product.
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。
用户需要在新的环境/市场/文化中部署已有方案时;当同一个问题在不同地区/场景下表现不同时; 当需要将通用方案本地化时;当用户说"为什么在这里不管用"或"换个地方方案就失效了"时。 不适用于: 环境因素不重要、问题与场景无关的纯技术/逻辑场景。
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。
Specialized prompt-building methodology for content and communications tasks. Provides 11 tested approaches (3 identity, 4 reasoning, 4 output) for writing, editing, content strategy, copywriting, audience analysis, editorial evaluation, cross-channel adaptation, and persuasion design. Use when building a Claude prompt or system prompt for content creation, editorial workflows, or communications tasks. Trigger on: "build a prompt for writing," "prompt for content strategy," "prompt for copywriting," "prompt for blog posts," "prompt for email sequences," "system prompt for editorial," "prompt for messaging framework," "content brief prompt," "prompt for audience analysis," "prompt that produces better content." Do NOT use for writing content directly — this Skill builds prompts that produce better content. Do NOT use for evaluating or scoring existing prompts — use rootnode-prompt-validation if available. Do NOT use for general prompt compilation — use rootnode-prompt-compilation if available.
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。
Derive a theoretical result step-by-step from first principles or established theorems, with every step explicitly justified and special cases checked. Use when deriving a formula or theorem from first principles, proving a mathematical statement by logical deduction, re-deriving a textbook result for verification or adaptation, extending a known result to a more general setting, or producing a self-contained derivation for a paper or thesis.
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。
Execute structural metamorphosis using strangler fig migration, chrysalis phases, and interface preservation. Covers transformation planning, parallel running, progressive cutover, rollback design, and post-metamorphosis stabilization for system architecture evolution. Use when assess-form has classified the system as READY for transformation, when migrating from monolith to microservices, when replacing a core subsystem while dependents continue operating, or when any architectural change must be gradual rather than big-bang.
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 researching Claude Code or Codex upstream releases, selecting adaptations, or preparing Harness upgrades. Local-only; not for distribution.
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。
End-to-end automated model quantization and accuracy tuning workflow. Use when user asks for automated model quantization and accuracy tuning, e.g. "自动量化", "量化调优", "一键量化", "精度调优", etc. 当用户给出多卡（≥2 卡）卡号时，量化阶段通过 EP 并行适配（msmodelslim-ep-parallel-adaptation）保证多卡 EP 并行，调优主流程仍在本 Skill。
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。
Adapt torch_npu.profiler interface for AI frameworks and training/inference code on Ascend NPU. Use this skill whenever users need to integrate profiling, add performance data collection, or instrument PyTorch code with torch_npu.profiler on Huawei Ascend NPU platforms. Triggers on: "torch_npu profiler", "NPU profiling", "Ascend profiler", "profiler adaptation", "profile training", "profile inference", "add profiler to framework", "性能采集", "profiling 数据", "昇腾 profiler", and any request to add performance monitoring to Ascend NPU code.
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。
"Apply organizational ecology (Hannan and Freeman) to analyze population-level dynamics of organizational founding, failure, and selection. Use this skill when the user needs to explain industry-level patterns of birth and death rates, analyze structural inertia and liabilities of newness or aging, evaluate why adaptation is rare relative to selection, or when they ask 'why do most startups fail', 'why is this industry dominated by old firms', or 'why do organizations resist change despite environmental pressure'.".
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。
"Optimize multilingual product listings for international e-commerce including SEO localization, machine translation workflows, and cultural adaptation. Use this skill when the user needs to create product listings in multiple languages, optimize for local search, or adapt marketing content for different markets — even if they say 'translate our listings', 'optimize for local SEO', 'adapt for the Japanese market', or 'our translated listings don't convert'.".
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 behavior-preserving frontend refactoring focuses on function API shape, flags, dependencies, mutability, construction, or command/function trade-offs, and the selected technique needs family-specific mechanics, risks, and JavaScript/TypeScript/React/Vue adaptation.
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, implementing, or reviewing responsive frontend layouts, mobile-first breakpoints, container queries, fluid grids, data-dense tables, touch targets, safe areas, orientation changes, viewport overflow, or cross-device UI behavior; Chinese triggers include responsive layouts, mobile-side adaptation, breakpoints, container queries, horizontal and vertical screens, touch targets.
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 behavior-preserving frontend refactoring focuses on function structure, naming, parameters, shared context, or phase boundaries, and the selected technique needs family-specific mechanics, risks, and JavaScript/TypeScript/React/Vue adaptation.
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。