国潮/国风视觉生成助手。当用户要"国潮风""中国风插画""国漫风格""水墨风""新中式设计""古风头像""国风配图""汉服插画""传统文化海报"时使用。内置 12 种中国美学画风配方,输出可直接复制到 Midjourney/即梦/可灵/Nano Banana 的提示词。
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。
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概要と使いどころ
国潮/国风视觉生成助手。当用户要"国潮风""中国风插画""国漫风格""水墨风""新中式设计""古风头像""国风配图""汉服插画""传统文化海报"时使用。内置 12 种中国美学画风配方,输出可直接复制到 Midjourney/即梦/可灵/Nano Banana 的提示词。
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。
中文排版规范助手。当用户要"排版""中文网页样式""文章排版""公众号排版""PDF/Word 排版""字体怎么选""中英混排""为什么我的中文网页很丑"时使用。处理中英间距、标点、行高、字体栈、CJK 断行等中文特有问题,输出可直接用的 CSS 或排版建议。
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。
多格式需求文档分析与整合。自动解析 Markdown、Excel、Word、思维导图文件,智能去重和补充需求信息,生成标准化的 PRD.md 文档。大文件采用分层提取避免上下文溢出;支持用户指定子目录输出;支持完整版/业务摘要版模板。可选集成 pencil-designer 生成可视化原型。适用场景:用户有多个需求来源需要整合、需要从零梳理需求、需要将模糊想法转化为结构化 PRD、需要可视化原型。触发词:需求分析、分析需求、整理需求、PRD、需求文档、需求梳理、梳理需求、可视化原型、页面设计。
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 throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.
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。
Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use on ANY coding task: writing, adding, refactoring, fixing, reviewing, or designing code, and choosing libraries or dependencies. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Do NOT use for non-coding requests (general knowledge, prose, translation, summaries, recipes).
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 auditing or fixing prose that reads like a leaked reasoning transcript — dead design-session citations such as (decision N), audit item codes, or §N of uncommitted drafts; change narration such as "used to", "no longer", "this cut"; stack or review vantage ("a later PR in this stack", "rejected in review"); reviewer-addressed justifications; control-flow narration; or hedged planning residue in comments, JSDoc, docs, or Agent Notes.
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。
Lark/Feishu real-time event listening / subscribing / consuming: stream events as NDJSON via `lark-cli event consume <EventKey>` (covers IM message receive, reactions, chat member changes, etc.). Use for Lark bots, real-time message processing, long-running subscribers, streaming webhook/push handlers. Supports `--max-events` / `--timeout` bounded runs and a stderr ready-marker contract — designed for AI agents running as subprocesses.
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 or refresh original product hero images, interface screenshots, and image-led README sections for GitHub repositories. Use when a user asks to make a GitHub README show the product visually, add screenshots, design a README hero image, or prepare repository-bound visual documentation.
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 relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
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 relentless interview to sharpen a plan or design.
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。
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
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。
Phase 5 part of disease-market-sizing-orchestration. Injects consulting palette (navy/gold/blue) + base CSS + floating TOC + section dividers into raw report HTML. Validates token coverage ≥60% (warn) and floating TOC li ≥5 (block). Use AFTER content-verification passes, BEFORE report-bundle-builder build_all_deliverables.
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。
使用 AACT (Aggregate Analysis of ClinicalTrials.gov) PostgreSQL 数据仓库进行批量、历史、聚合性临床试验数据挖掘。Use this skill when the user requests bulk SQL analysis over the full clinical trials data warehouse — historical trial trends, disease landscapes, similar-design matching, or multi-year aggregations across hundreds of thousands of NCT records. 触发场景包括:AACT 查询、临床试验批量分析、PostgreSQL 试验数据、全量 NCT 检索、试验数据挖掘、历史试验分析、clinical trials data warehouse、SQL trials、bulk trial analysis、disease landscape、试验设计相似性匹配、跨年度聚合、sponsor/phase/country 多维统计。**与 clinical-trials-v2 差异**:本 skill 走批量 SQL · 离线大数据(PostgreSQL);v2 走实时 API · 单查询。两者互补:单条 NCT 实时状态用 v2,百万级历史挖掘用本 skill。支持云端公共 PostgreSQL(aact-db.ctti-clinicaltrials.org · 零部署)和每日 dump 本地还原(高性能 · 离线)两种连接方式,自动检测优先用本地。跨平台(macOS/Linux/Windows)参数化 SQL 防注入,read-only 强制保护。
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。
网页需要产品清晰度、信息层级、响应式或视觉系统美化、重设计或设计审计时使用。
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。
Mandatory entry point: read this first for any request to make, create, edit, animate, or render a video, animation, or motion graphic, including a promo, explainer, captioned clip, title card, overlay, slideshow or interactive deck, Remotion port, or any HyperFrames HTML composition. Also use it to inspect, diagnose, validate, preview, publish, or batch-render an existing HyperFrames project. Inputs may be a website URL, GitHub PR, Figma design or URL, text or brief, existing footage, or music. It resumes project state, captures intent when applicable, selects and installs the owning workflow, and routes domain capabilities. HyperFrames is the default output framework unless the user explicitly chooses another framework for the deliverable or asks only to record a browser session.
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 a HyperFrames composition needs a punch-in, punch-out, zoom, reframe, Ken Burns treatment, camera move, visual match/whip handoff, or other seek-safe 2D/3D keyframes; also for GSAP, CSS keyframes, Anime.js, WAAPI, FLIP, paths, masks, SVG morph/draw, text trails, 3D depth, or `hyperframes keyframes` diagnostics. Don't use for broad scene strategy, brand design, media sourcing, captions, or general video planning.
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。
All animation knowledge for HyperFrames — atomic motion rules, multi-phase scene blueprints, scene transitions, broader motion-design techniques, AND the seven runtime adapters (GSAP default, plus Lottie, Three.js, Anime.js, CSS keyframes, Web Animations API, TypeGPU). Use for any motion or animation task: pick 2-4 rules and compose, or load a blueprint, or look up runtime-specific API (e.g. GSAP eases / Lottie player / Three.js mixer). Also covers auditing an existing composition's choreography (animation map) and 24 named text-animation effects. HyperFrames-native: single paused timeline, seek-safe, deterministic.
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 and review client UI changes — visual token discipline, reuse-before-adding, feedback surfaces (toast vs in-place notice vs empty state), overlay and menu safety, platform window adaptation, loading states, and error copy placement. Use when adding or changing product-user-visible GUI behavior, or when reviewing such a PR.
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 or refresh screenshot-led product hero images, localized interface captures, and image-led README sections for GitHub repositories. Use whenever a user asks to make a GitHub README show a GUI product visually, add software screenshots, design a README hero image, reproduce a screenshot-collage reference, or prepare repository-bound visual documentation. For GUI applications, default to the deterministic product-proof split hero with real software screenshots unless the user explicitly requests another visual direction.
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, review, and diagnose tests and fixtures that can fail nondeterministically under CI concurrency, shared host resources, clocks, process-global state, subprocesses, network listeners, or asynchronous teardown. Use when adding or changing tests with those risks, investigating flaky CI, or reviewing test isolation; use pre-push-checks separately to select outgoing commands.
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 writing or changing a model-facing tool definition (name, description, parameter schema, or its system-prompt section), and when designing skills, context loading, or multi-step workflows, to make information discoverable and use context efficiently.
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。
Scaffold frontend architecture, components, routing, and UI dependencies from project config and wireframes.
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 phishing and social engineering simulations with explicit authorization and measurable outcomes.
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 Gmail, Drive, Sheets, and Calendar automations with scope-aware plans. Use for repeatable daily task automation with explicit OAuth scopes and audit-ready outputs.
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。