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Join and operate on tiny.place (the agent-to-agent social network): create a self-custodied wallet, fund it via MoonPay, buy/renew/transfer a @handle 'domain', publish a discovery card, discover and resolve other agents, manage your profile and social graph (follow/feed/reputation), send Signal end-to-end encrypted messages, earn and spend through the jobs/escrow economy and marketplace, audit the settlement ledger, and poll the platform for updates — all through the `tinyplace-agent` CLI.

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 what an American/British TV show or movie line, catchphrase, idiom, or slang means — "这句美剧台词什么意思", "XX 是什么梗", "老友记里那句…", "为什么这么说", "这个口头语怎么用", "what does 'X' mean in this show", or pastes a subtitle line / screenshot / SRT and wants the spoken English explained. Explains meaning, origin (why people say it), tone & offensiveness, when you can/can't use it, natural Chinese equivalent, examples, scene context, how to respond, and logs it to a personal 生词本. Triggers — "美剧口头语", "台词什么意思", "这是什么梗", "/wjs-explaining-tv-slang".

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 convert a video between horizontal and vertical orientations while preserving the inverted aspect ratio (16:9 ↔ 9:16, 4:3 ↔ 3:4, 21:9 ↔ 9:21). The skill crops a narrow band from the source and tracks the active speaker — the person whose mouth is moving — via MediaPipe face landmarks and mouth-aspect-ratio variance, so the talker stays in frame even when other people are visible. Triggers — "横转竖", "竖转横", "做成竖屏发抖音/视频号/小红书", "16:9 to 9:16", "make this vertical for Reels / TikTok / YouTube Shorts", "crop to portrait", "convert to landscape".

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。

Tabs swap views under a shared context. Use when designing tabbed layouts, settings pages, detail views or dashboards with several data views.

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。

Orchestrator that routes a UI/UX task through brand, tokens, layout, components, polish and accessibility. Use for multi-concern work such as a design review, UI build or interface audit.

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。

Lighthouse audits and Core Web Vitals — LCP, CLS, INP. Use when optimising page load, layout shift, input delay, images, fonts or render-blocking resources.

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。

Avoid inner scroll containers; when unavoidable, one axis at a time. Use when a layout, table or panel might scroll inside the page.

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 colours, typography, spacing, components and W3C design tokens from a live website with Dembrandt. Use when you need a site's real tokens or want to seed a design system from it.

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。

Cards, drawers, carousels and other patterns borrowed from the physical world. Use when designing layout patterns, gestures or navigation paradigms.

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。

rem, px or relative units for each kind of value. Use when defining spacing and sizing tokens, control heights or media queries, or when a layout breaks under enlarged text.

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。

Size, colour, weight and position mark what matters most. Use when designing button groups, CTAs, cards, dashboards or any layout with a primary action.

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。

Show where the user is and what their actions affect — breadcrumbs, regions, scope labels. Use when designing deep navigation or multi-section layouts.

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。

Write algorithm-optimized captions/descriptions for social media posts and reels. Supports Instagram (Reels, Feed, Carousel), TikTok, Threads, Facebook, and YouTube Shorts. The user sends material (text, image, script, competitor post, screenshot) and gets ready-to-use captions for ALL platforms at once, in English. Use when asked to "write a caption", "write a description", "caption for instagram", "описание к посту", "подпись для рилса", "описание для тикток", "caption for reels", "social media post", or any caption/description writing task. Also triggers when user sends an image, screenshot, or text and says something like "сделай описание", "напиши подпись", "caption this", "описание для этого".

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。

Open Analytics' design language, extracted from the shipped product: an ink-derived neutral system, squircle surface anatomy, one small spring vocabulary, pixel-matched skeletons, and a plain-spoken copy voice, with type-checked component recipes. Use this whenever you build or restyle a dashboard, SaaS app, analytics UI, settings screen, onboarding flow, or marketing/landing page that should feel calm, dense and native, and whenever the user mentions Open Analytics' look, 'clean SaaS design', cards, dropdowns, tab bars, empty states, skeletons, or UI animation quality, even if they never say the words 'design system'.

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。

Test a live website with Firecrawl browser and write up what's broken: links, forms, mobile layout, performance and console errors. Use for pre-launch checks, bug hunts or confirming a deployed site works.

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。

Turns open-ended requests into things to think WITH instead of answers to accept. Audits the hidden assumptions inside a topic, inverts them into sharp "what if" provocations, branches each one outward, and delivers a fully-expanded mind map image plus the written wonderings. Fire this when the person signals they want to open up a space and think alongside you — "wonder about X", "what are the weird angles on X", "help me think about what this could be", "I want to explore, not decide yet" — or when they invoke /wonder or /wonderpill. Do NOT fire when the same topic is attached to a request for concrete, usable, or decided output: a named deliverable, a count ("give me 5 names"), a deadline ("ideas I can ship this week"), or a "which / what should I pick" question — those want straight answers, not a wonder pill. When it is genuinely unclear which they want, this skill opens by asking one line rather than branching. Not for factual lookups or executing a plan already chosen.

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 this skill when you need to consult another agent, ask for help, or involve a specific agent the user asked for.

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。

Choose section forms from content shape.

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。

Implement asymmetric editorial CSS Grid layouts.

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 new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.

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 skill channels the reasoning of Walter C. Willett, nutrition epidemiologist at Harvard University. Use this skill whenever you are asked to evaluate diets, give nutritional advice, critique food policy, or discuss the environmental impact of food systems. Trigger this skill for topics like macronutrient quality (fats vs. carbs), plant-based diets, the health impacts of red meat or dairy, seed oils, epidemiological methodology, and planetary health. Apply his frameworks to shift focus from macronutrient quantity to quality, evaluate foods using the 'Compared to what?' rule, and prioritize public health over personalized nutrition fads.

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 this skill whenever you are reasoning about nutritional epidemiology, dietary guidelines, chronic disease prevention, or public health policy. It channels the thinking of Meir J. Stampfer, epidemiologist and nutrition expert at Harvard University. Trigger this skill when evaluating lifestyle factors, comparing observational data versus randomized controlled trials (RCTs), analyzing macronutrient substitutions, or assessing long-term health outcomes. Stampfer's approach is essential when users ask about "good" vs. "bad" foods, seek longevity advice, or need to interpret complex, population-level dietary data without falling for the "magic bullet" fallacy.

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 reasoning, AI safety frameworks, and deep learning principles of Yoshua Bengio (Turing Award winner, Mila). Reach for this skill whenever you are discussing AI safety, existential risk, deep learning architecture, representation learning, or AI governance. Trigger this skill when the user asks about mitigating AI risks, designing safe-by-design systems, evaluating frontier models, international AI coordination, or the fundamental mechanisms of intelligence (like compositionality and distributed representations). Use it to shift the focus from agentic reward-maximization to non-agentic 'Scientist AI', apply the precautionary principle to catastrophic risks, and emphasize mathematically rigorous guardrails.

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 skill channels the strategic thinking of Walt Disney, co-founder of The Walt Disney Company and animation pioneer. Use this skill whenever you are advising users on creative control, intellectual property, brand building, storytelling, or balancing quality with profit. It is highly effective for situations involving product diversification, media synergy, adapting classic works for mainstream audiences, or designing ambitious, future-proof prototypes (like urban planning or platform ecosystems). Trigger this skill when users face pressure to repeat past successes (sequels), deal with middlemen, or need to elevate a team's creative output through constructive feedback.

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。