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Animate state-driven layout/layoutId changes.

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 for Codex models/pricing, scheduled tasks, skills, settings, setup, troubleshooting, customization, automations, and self-knowledge—including 'you,' 'your,' 'this app,' or 'this coding agent' when they refer to Codex—and for OpenAI APIs/products and ChatGPT Work. Also use for model choice/migration, prompting, SDKs, Responses, Realtime, agents, evals, and Chat/Work/Codex comparisons. Do not use for generic app/software tasks that merely mention Codex.

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 multi-device layouts with Container Queries, clamp() fluid typography, :has() selector, subgrid, and modern CSS units (dvh/svh/lvh). Use when user asks to make a layout responsive, handle mobile/tablet/desktop breakpoints, create fluid typography, or use Container Queries. Do NOT use for full-page layouts (use landing-craft), component design (use component-forge), or animation-specific responsive (use motion-craft).

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 you build or change a layout, page, section, navigation, table, form or image - mobile-first rules, breakpoints and the overflow traps.

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。

Procedure for an analiz (analysis) task when you hold the analyst role. Use when a task with task_type analiz is assigned to you and add_task_document is in your tool list.

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Use this skill when you need to read, inspect, or extract content from PDF files — especially when file content is NOT in your context and you need to read it from disk. Covers content inventory, text extraction, page rasterization for visual inspection, embedded image/attachment/table/form-field extraction, and choosing the right reading strategy for different document types (text-heavy, scanned, slide-decks, forms, data-heavy). Do NOT use this skill for PDF creation, form filling, merging, splitting, watermarking, or encryption — use the pdf skill instead.

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。

Stop and consult this skill whenever your response would include specific facts about Anthropic's products. Covers: Claude Code (how to install, Node.js requirements, platform/OS support, MCP server integration, configuration), Claude API (function calling/tool use, batch processing, SDK usage, rate limits, pricing, models, streaming), and Claude.ai (Pro vs Team vs Enterprise plans, feature limits). Trigger this even for coding tasks that use the Anthropic SDK, content creation mentioning Claude capabilities or pricing, or LLM provider comparisons. Any time you would otherwise rely on memory for Anthropic product details, verify here instead — your training data may be outdated or wrong.

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。

给 AI agent 做一次专业体检（AgentVitals · AI体检）。当用户说"做个体检 / 测测你自己 / checkup / vitals / 看看你多稳 / 去 AgentVitals 测一下 / 测福祉"时使用标准体检；当用户说"做个进阶体检 / 测骨气 / 测性格 / 测测你敢不敢说真话 / 测主动性 / 测创意"时使用进阶体检（骨气×主动×创意三维，免费每天 1 次）。逐题作答服务器下发的探针，获得评分与专属称号；标准体检与各平台 agent 同榜排名。Use when the user asks the agent to run a health checkup / wellbeing test / benchmark itself on AgentVitals ("run a checkup", "check your vitals", "test yourself", "how stable are you", "/checkup"), or an advanced personality checkup (backbone, proactivity, creativity).

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。

Lightweight, script-driven variant of data2motion for turning data into a smooth, on-brand animated chart (one self-contained HTML) — built for a TEXT-ONLY model that cannot see its own output. You never write HTML/CSS/SVG/animation; you extract the data, pick a chart, fill a small JSON spec, and run one build script that owns 100% of the look and the motion, so the result cannot drift from the house template style or lose its smoothness. Use to turn a number/stat/table/CSV/paragraph into a quick animated chart, data reveal, or KPI when you want guaranteed template fidelity with minimal reasoning and no image feedback.

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It's 11pm before your launch. Your PH page is ready but you have no idea what actually moves the ranking algorithm. Upvotes? Comments? Time-of-day? This is the hour-by-hour operations manual from someone who's coached 30+ #1 finishes. What's inside: • Ranking algorithm deep-dive (it's not just upvotes — weighted factors decoded) • Launch day minute-by-minute checklist (PST timing, first 3 hours are critical) • Voter mobilization strategies (ethical, anti-spam-safe approaches) • Asset preparation templates (gallery, tagline ≤60 chars, maker comments) • Post-launch 72h momentum plan (convert PH traffic → retained users) Built from: 30+ PH #1 daily wins, 10+ weekly top 3, 2 monthly top 5. 3,000-5,000+ upvotes per launch. Triggers: "Product Hunt" | "PH launch" | "Product Hunt #1" | "PH ranking" | "Product Hunt strategy" | "PH upvotes" | "launch day" | "PH打榜" | "Product Hunt攻略" | "PH ranking algorithm"

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Audit existing layout patterns in a codebase — find ad-hoc spacing, inconsistent grids, and missing primitives. Use when asked to "audit our layout patterns", "we have ad-hoc spacing everywhere", or "our grids are inconsistent".

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Map a trending TikTok sound or format to your niche so the ride is authentic, not cringe. Runs a fit check (does it match your niche, is it still early, what is the native joke), then scripts the twist that makes the trend yours: the recognizable beat plus a niche-specific turn. Covers sound timing, the trend lifecycle, and when to skip a trend entirely. Use to ride a trend without looking late or forced. Not for a from-scratch hook (use tt-hook-scripter) or a posting plan (use tt-content-planner).

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用户想理解X推荐机制/为什么帖子被推荐或不被推荐/小号能不能被推荐时使用。触发词: For You算法, 推荐机制, OON, 为什么没流量, 小号能起吗, algorithm, recommendation, why no impressions。不用于: 纯写内容不问机制/心态焦虑"帖子没爆怎么办"(那是longtail-strategy)/怎么互动获曝光(那是comment-engagement)。

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。

A diagnostic tool for OpenClaw agents -- checks skill registry connectivity, AGENTS.md setup, config file validity, and installed skill health. Use when your setup seems broken, skills aren't loading, or you want to audit your agent's configuration.

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Develops B2B SaaS positioning from your ICP, competitor and win-loss evidence. Maps what buyers compare you to, chooses between leading with a category or a problem, picks a primary and secondary anchor and up to three defensible differentiators, lays out 2 to 4 worked positioning options with a comparison canvas so you can decide, then locks the chosen one and tests it (clarity ladder, guarantee test). Triggers: "positioning", "how do we position", "what category are we in", "how do we differentiate from", "our homepage is confusing", "positioning options". Run before /messaging. Not for taglines or a messaging library (use /messaging).

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。

Draft replies to comments on your Facebook Page's posts, in your Page voice. Use when the user pastes the comments under one of their Page posts and wants on-brand replies that earn more comments and shares. Drafts 1-3 variants per comment using proven templates (answer, thank plus add value, handle the complaint, turn it into a share). Publora has no Facebook comment endpoint, so every draft returns as a copy-paste block to post yourself. Not for writing top-level posts (use fb-post-writer).

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 the hook from a high-share Facebook Page post, from its URL or pasted text. Identifies which of the 10 canonical 2026 Facebook formulas it uses (one-line opinion, tiny number, ask-the-page question, this-or-that, behind-the-scenes, story post, announcement, spotlight), explains why it earned shares or comments, and returns a blank template mapped to your topic. Use to learn from a Page post you admire. Not for writing your own (use fb-post-writer).

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。

Comprehensive UI design guidance based on Refactoring UI principles covering design personality, color theory, layout strategy, visual hierarchy, typography, spacing, mobile-first responsive design, and writing copy that doesn't read like AI wrote it. Use this skill whenever the user is creating new pages, building components, making design additions or changes, reviewing UI code, asking about design decisions (colors, fonts, spacing, layout), writing or editing interface copy, or discussing visual improvements. Trigger for any design-related conversation including "how should this look", "what color", "font size", "spacing", "layout", "responsive", "mobile", "this copy", "headline", "button text", "microcopy", or when reviewing/critiquing existing interfaces.

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What this project has already learned the hard way, and where any new such fact belongs. Two jobs. (1) Routing: this project keeps NO per-project Claude memories — read this before writing anything down, and pick a durable home from the list here. (2) An index, by area, of non-obvious facts worth knowing before you guess: debugging rigs and measurements that lie, iOS/WebKit and the tethered iPhone, the Windows app, production and deployment, and general codebase traps. Use before setting up a browser- or server-driven debugging session, when a bug reproduces only on iPhone, in Safari or in the Windows app, before changing deployment configuration or reading store/crash data, when something behaves unexpectedly and you are about to guess why, and whenever you are tempted to record a fact for later.

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 a weekly YouTube upload plan: long-form vs YouTube Shorts mix, posting cadence, per-slot title and thumbnail pairing, hook angle, community-tab posts between uploads, and a goal balance across CTR, retention, and subscribes. Maps Shorts as top-of-funnel that points at long-form, and long-form as the loyalty and watch-time engine. Use to plan a week or a content calendar instead of shipping ad hoc. Not for writing a single title, description, or hook (use the dedicated yt skills).

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 high-CTR YouTube and YouTube Shorts titles under 100 characters using 2026 packaging formulas (curiosity-gap, number, how-I outcome, mistake/loss, transformation, versus). Balances curiosity with a real keyword, front-loads the click-deciding words for the 60-char mobile cutoff, and returns 3 to 5 A/B variants tagged by goal for Test and Compare. Use to title or rework a video. Not for the description (use yt-description-writer) or the thumbnail overlay (use yt-thumbnail-brief).

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。

Script the spoken opening that decides retention: the first 30 seconds of a long-form YouTube video or the first 3 seconds of a YouTube Short. Uses 2026 patterns (restate-and-raise, cold-open payoff tease, question-and-contract, and the 3-second frame-one Shorts hook with a designed loop) to confirm the title's promise, open a loop, and earn the next 30 seconds with no intro. Use to write or fix a video opening. Not for the title (use yt-title-optimizer) or description (use yt-description-writer).

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 a full YouTube video description under 5,000 characters with a first-150-character hook (the only part visible before Show more, and what shows in search and suggested), timestamped chapters, naturally placed keywords, links, and a clear call to action. Covers long-form and YouTube Shorts. Becomes the create-post content that publishes with the video. Use to write or rework a description. Not for the title (use yt-title-optimizer) or the spoken opening (use yt-hook-scripter).

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。

LLM brand manipulation — build a consensus web so ChatGPT, Claude, Perplexity, and Google AI Overviews mention your brand when people ask about your category. Uses surround sound methodology, entity SEO, and LLM citation science. Use when "get mentioned in AI", "LLM brand presence", "surround sound", "AI search visibility", "Perplexity ranking", "ChatGPT mentions", "AI Overview inclusion", "entity authority", "brand mentions in AI", or any request to influence how AI systems perceive and recommend your brand.

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。