视频·图像·音频技能

Reviews audio DSP and audio processing code for realtime safety violations. Use whenever the user asks to review, audit, or check audio processing code — including plugin process callbacks, audio engine render functions, DSP implementations, or any code that runs on the audio thread. Trigger on phrases like "review my processBlock", "check this DSP code", "is this safe for the audio thread?", "review my JUCE plugin", or when you see an audio callback and spot potential realtime violations. Flag issues proactively even when the user hasn't explicitly asked for a review.

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展示完整的科研数字分身供用户审核，收集反馈并标记审核状态。当用户想查看画像、或数据采集完成后进行确认时使用。

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对已有科研人员画像进行精确的字段补充或修改。当用户说「修改」「更新」「补充」「不对」等，或审核反馈后需要更新数据时使用。

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分析文章可用的多种配图视角，为每个角度生成提示词草图供用户选择。触发词：帮我分析配图角度/生成多视角草图/配图有几种选择/给我几个配图方案。

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AI配图能力层 Skill。任何需要生成信息图的任务都调用此 Skill，而不是自行调用 API。包含：模型选择、API调用、多视角草图流程、风格库引用、配图索引联动。触发词：「需要绘图」「生成配图」「画一张图」「制作信息图」「根据这段文字画图」「图片提示词」。

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施测大五人格量表（Mini-IPIP，20题），评估外向性、宜人性、尽责性、神经质和开放性。当用户选择填写量表、或画像中人格数据缺失时使用。

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施测学术动机量表（AMS-GSR 28），采集科研人员的内在动机、外在动机和无动机数据。当用户选择填写量表、或画像中AMS数据缺失时使用。

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管理他山公众号的配图风格库，提供风格模板调用和新风格沉淀。触发词：调用风格库/用XX风格/存入风格库/更新风格模板/风格库有哪些风格。

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对画像系统的维度结构进行增加、删除或修改。当用户需要新增一个画像维度、删除某个维度、或修改某个维度的字段定义时使用。

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解析用户从 ChatGPT 等 AI 获取的记忆回复（支持多个 AI 依次粘贴），与现有画像对比后，有据可查的条目内部整合直接写入并标注置信度；模糊/冲突/当前需求条目以选择题形式逐条确认；❌记忆不足条目不丢弃，转入步骤五追问队列；写入后执行字段级完整度扫描，列出缺口清单并逐批追问，达到必填门槛后才进入量表阶段。

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将科研数字分身各维度整合提取为他山论坛分身，格式为 Identity / Expertise / Thinking Style / Discussion Style 四节 Markdown，输出前先让用户确认隐私暴露范围。当用户说「生成他山论坛分身」「论坛画像」「数字分身」「导出论坛档案」时使用。

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Generate images via the Stable Diffusion WebUI / Forge HTTP API (AUTOMATIC1111-compatible `/sdapi/v1/*`). Use when the user wants to (1) discover or pick a model / extra module (TE/VAE) / sampler / scheduler / style preset from a running sd-webui server, (2) generate an image with a given prompt (txt2img), (3) check generation progress, (4) cancel/interrupt an in-flight generation, (5) inspect or change a global sd-webui option (e.g. active checkpoint), or (6) test connectivity. This skill talks to a *generic* sd-webui-compatible server (AUTOMATIC1111, Forge, reForge, sd-webui-forge-classic). Do NOT trigger for requests that are purely writing the prompt itself.

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Rewrite raw meeting audio transcriptions into clean, accurate meeting minutes in Traditional Chinese. Use when the user has an unprocessed audio transcription file with recognition errors and needs it cleaned up into proper meeting minutes.

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Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping old ones, avoid lazy under-generation, avoid cards-inside-cards-inside-cards UI, and keep the hero clean, spacious, readable, and visible on a small laptop.

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Three.js asset loading - GLTF, textures, images, models, async patterns. Use when loading 3D models, textures, HDR environments, or managing loading progress.

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Three.js textures - texture types, UV mapping, environment maps, texture settings. Use when working with images, UV coordinates, cubemaps, HDR environments, or texture optimization.

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用于将文章、演讲稿、课程、产品演示或口播解释转成可录制的 16:9 网页演示，包含步骤驱动场景、可选口播对齐、主题 Token 与录屏指导；中文触发词包括 网页视频、动态演示、口播稿转视频、可录屏演示、16:9 演示。

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Use when turning an article, talk script, lesson, product demo, or narrated explanation into a recordable 16:9 web presentation with step-driven scenes, optional narration alignment, theme tokens, and screen-recording guidance; Chinese triggers include web video, dynamic demonstration, spoken script to video, screen-recordable demonstration, 16:9 demonstration.

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用于生成或编辑图表、图形资产、海报、UI 样机、产品图、信息图、学术图、漫画、头像、分镜、品牌板或图像编辑工作流，尤其是导出 PNG 需要视觉质检和有限自动修复时。文字密集图表优先使用确定性的 Mermaid/SVG/HTML/canvas 源；浏览器可打开的技术图优先使用 HTML technical diagrams，覆盖系统蓝图、架构图、部署拓扑、Agent runtime、memory flow、before-after architecture、流程、序列、数据流、生命周期、runbook、PII/数据血缘和状态机；不要用于不涉及生成图像的普通 UI 打磨。中文触发词包括 图片生成、图像编辑、图表生成、架构图、系统蓝图、部署拓扑、Agent runtime、memory flow、before-after architecture、工作流图、数据流、生命周期图、状态机、ER 图、UML、序列图、海报、UI 样机、产品图、信息图、学术图、漫画、头像、分镜、品牌板、PNG 自检、自动修复。

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Use when generating or editing diagrams, charts, visual assets, posters, UI mockups, product images, infographics, academic figures, comics, avatars, storyboards, brand boards, or image-edit workflows, especially when exported PNGs need visual QA and bounded self-repair. Prefer deterministic Mermaid/SVG/HTML/canvas sources for text-heavy diagrams; use HTML technical diagrams for browser-ready system blueprints, architecture, deployment topology, agent runtime, memory flow, before-after architecture, workflow, sequence, data-flow, lifecycle, runbook, PII/data-lineage, and state-machine diagrams. Do not use for ordinary UI polish without generated imagery.

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Teach a topic, video, article, codebase change, spec, or transcript until the user demonstrably understands it, using staged instruction, a running checklist doc, and quizzes. Use whenever the user says "teach me", "explain this in detail", "help me understand X", "/teach-me", "walk me through this", "I want to learn X", "understand this deeply", or pastes a YouTube URL, article, paper, PR, or spec and asks to understand it rather than summarize it. Also use when the user wants study notes or raw material from a source they are learning. Do NOT use for a quick factual lookup, a summary request, or when the user just wants the answer.

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Use when working on SAM 3 video segmentation, vaila_sam.py, checkpoint handling, or GPU memory issues.

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Use when importing SAM3 or YOLO tracking CSV files into getpixelvideo, including bbox-to-marker anchor conversion.

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Discovers golden base images for creating GKE custom node images based on technical specifications or context clues. Use when finding the golden base image for custom GKE node creation, mapping cluster configuration parameters (GKE version, OS, architecture, accelerators, gVisor, cgroups) to image names, or querying GKE base image maps. Don't use for general GKE cluster creation (use gke-cluster-creation) or standard node pool management (use gke-basics).

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