デザインのスキル

从 getdesign.md 下载知名品牌/网站的设计系统文档（DESIGN.md），为前端开发提供风格参考。当需要为项目选择或应用某个品牌的设计系统风格时使用此技能。

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。

基于 SLI 模型、架构链路模型和源代码线索，生成 Dashboard IA、Panel Spec 与 Grafana JSON。

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。

Volcano Engine AI MediaKit talking-head video editing Skill: a one-stop workflow from environment setup through media management, audio processing, talking-head cuts, video export, review UI, and iterative refinement. You MUST invoke this Skill when the user mentions talking-head editing, cutting talking video, video editing, removing pauses, processing audio, exporting talking video, automatic editing, removing verbal slips, or similar. Also invoke when the user uploads video or audio and asks for editing.

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。

Answer a hard question by fanning it out to a PANEL of models running in parallel — each answering independently with web search and bash, none seeing the others' work — then having Opus 4.8 judge every response into a structured analysis (consensus, contradictions, partial coverage, unique insights, blind spots) and write a final answer grounded in it. The panel is two independent Opus 4.8 runs (slug opus4.8-4.8), Opus 4.8 + GPT-5.5 via codex (opus4.8-gpt5.5), Opus 4.8 + Gemini 3.1 Pro via agy (opus4.8-gemini3.1pro), or all three (opus4.8-gpt5.5-gemini3.1pro). Opus always judges and writes the final answer — the pipeline can't be reversed. Runs on local CLI subscriptions (no metered API), and saves a timestamped provenance .md per run. Use this whenever the user asks to "run it through Fusion", says /fusion, wants a multi-model / panel / ensemble answer, wants a question cross-checked across models, or wants a higher-confidence answer with consensus and blind spots surfaced — even if they don't say "fusion". General-purpose: any topic (research, law, strategy, technical, personal). Best for high-stakes research, design calls, and debugging where being confidently wrong is expensive.

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。

做机构级研究报告与学术论文——行业报告、白皮书、年度调研、数据洞察、arXiv论文，也含16:9咨询deck型报告（一页一结论）。定结构、写发现、建图表视觉系统。规范提炼自2026年顶级机构报告实测。单篇文章、纯演示PPT不适用（走design/slides）。

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。

将任意文本、网页或 URL 生成符合 Claude/Anthropic 设计语言的 HTML 信息卡片，通过 Playwright 截图为 PNG。 支持 14 种格式：平台封面（公众号、视频号、B站、抖音）、图文内容卡（小红书、教程、对比分析）、 社交分享卡（金句、数据、方形）、长文编辑排版（Broadsheet、Feature、Reader、Digest）。 当用户提到「信息卡、卡片、封面、图文笔记、排版、截图、生成图、内容卡」时使用本技能。

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, implement, debug, and review industrial recommendation-system architecture or algorithms using released PDFs, curated examples, and runnable templates.

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 an industrial recommendation system or subsystem with explicit scale, latency, freshness, consistency, availability, privacy, cost, degradation, observability, and rollout constraints.

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, implement, debug, and review industrial recommendation-system architecture or algorithms using the released book PDFs, curated examples, and runnable templates.

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。

Find UI elements using natural language descriptions

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。

Locate UI elements using AI

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。

Click, hover, drag, and interact with located UI elements

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。

Locate and interact with UI elements using AI

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。

Locate UI elements using natural language

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。

Detect all UI elements on screen using OmniParser

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。

Render an interactive, self-contained HTML companion for a GEO content brief (04-content-brief) or a publish-ready draft (05-production), so a NON-technical client reviewer (founder, organizer staff, the domain expert filling slots) can fill REQUIRED-FILL slots, leave section-level comments, and approve/return work in the browser instead of editing Markdown. Use when a brief or draft needs to go to a client/expert for review, or when building the briefs/index.html entry page for a client folder. The reviewer's input comes back as a JSON file that 04-content-brief Step 9 ingests. Visual quality is delegated to the frontend-design 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。

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

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。

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for 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。

Use when you need to design, review, or improve validation in Spring Boot applications — including Bean Validation on request DTOs, @Valid/@Validated at API boundaries, constraint groups, custom constraints, @ConfigurationProperties validation, nested DTO validation, and consistent validation error handling. This should trigger for requests such as Add validation support in Spring Boot; Review Spring Boot validation rules; Improve request validation in Spring Boot REST APIs; Add custom Bean Validation constraints in Spring Boot; Validate configuration properties in Spring Boot. Part of Plinth Toolkit

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 need to design, review, or improve validation in Quarkus applications — including Bean Validation on JAX-RS resources, @Valid on parameters and CDI beans, constraint groups, @ConfigMapping validation, custom constraints, nested DTO validation, and ExceptionMapper-based error mapping. This should trigger for requests such as Add validation support in Quarkus; Review Quarkus validation rules; Improve request validation in Quarkus REST APIs; Add custom validation constraints in Quarkus; Validate Quarkus @ConfigMapping properties. Part of Plinth Toolkit

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 need to design, review, or improve validation in Micronaut applications — including Bean Validation on @Controller methods, @Body @Valid, query/path parameter validation, @ConfigurationProperties validation, custom constraints, nested DTO validation, and ExceptionHandler mapping for constraint violations. This should trigger for requests such as Add validation support in Micronaut; Review Micronaut validation rules; Improve request validation in Micronaut REST APIs; Add custom validation constraints in Micronaut; Validate Micronaut configuration properties. Part of Plinth Toolkit

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 need MongoDB persistence in Quarkus — including Panache Mongo entities/repositories, document design, indexes, transactions where applicable, and error handling. This should trigger for requests such as Add MongoDB in Quarkus; Review Quarkus Mongo Panache design; Improve Mongo error handling in Quarkus services; Model MongoDB documents for a Quarkus service; Configure Quarkus MongoDB clients codecs or transactions. Part of Plinth Toolkit

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 problem under exploration needs its surrounding system context identified before design begins — Existing systems, Integrations, Ownership, and External dependencies. This should trigger when an issue's Context Mapping point of view needs evaluation, or when a maintainer directly asks to map the systems, integrations, owners, and external dependencies relevant to a problem. Part of Plinth Toolkit

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 creating or refining a structured Java implementation plan from trusted issue summaries, approved designs, ADRs, OpenSpec changes, existing plans, or a valid combination. The plan records its source artifacts and derivation direction and can remain the execution artifact without requiring OpenSpec. This should trigger for requests such as Create a plan from an issue; Create a plan from OpenSpec; Design an implementation plan; Refine an existing plan. Part of Plinth Toolkit

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。