Media Claude Skills

Generate professional presentation slides and high-quality illustrations using Gemini image generation API (Nano Banana 2), with interactive browser-based review and iterative editing. Full workflow: content planning conversation → slides_plan.json → batch image generation → review with feedback → targeted slide editing → PPTX packaging. Use when: user wants to create a presentation, make slides, generate a PPT/PPTX, prepare a talk deck, design visual slide content, or generate high-quality figures/illustrations for papers and documents. Do NOT use for: writing academic papers (use paper-writing) or planning academic conference talk narrative structure (use academic-slides).

Extract cognitive patterns and thinking fingerprints from any text. Use this skill when the user wants to analyze how someone thinks, understand cognitive style, profile writing or speech patterns, compare thinking styles between people, asks "what's my thinking style", "analyze how this person reasons", "cognitive profile", "thinking pattern", "DHDNA", "digital DNA", or wants to understand the mind behind any text. Also trigger when the user provides text and wants deeper insight into the author's reasoning patterns, decision-making style, or cognitive signature.

Generate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.

Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.

Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.

Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office documents), generating AI-powered notes and summaries, creating multi-speaker podcasts from research, chatting with documents using context-aware AI, searching across materials with full-text and vector search, or running custom content transformations. Supports 16+ AI providers including OpenAI, Anthropic, Google, Ollama, Groq, and Mistral with complete data privacy through self-hosting.

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.

Automated cell behavior analysis from microscopy or XR lab recordings. Classifies cell motion phenotypes (migration, proliferation, apoptosis, division, quiescence), computes population-level quantitative metrics (growth rate, migration velocity, directionality index), and emits structured JSON for downstream reporting, plotting, or ELN integration.

Detects common wet-lab procedural and safety errors from XR or fixed-camera lab video. Identifies pipette volume deviations, forgotten reagent additions, uncapped tubes, contamination risks, sample mix-ups, and other observable hazards. Outputs structured JSON with error type, timestamp, severity, and corrective action suggestions for real-time alerts or post-hoc audit.

Converts first-person XR headset video into a structured experiment timeline log. Extracts timestamped events (action, object, location, result) via VLM or action recognition, outputs Markdown or JSON for downstream analysis, reporting, protocol compliance audit, or ELN attachment.

Egocentric Hand-Object Segmentation (EgoHOS) - pixel-level hand and object segmentation in egocentric videos. Outputs fine-grained segmentation masks with hand regions highlighted. Specialized for hand-object interaction scenarios with pixel-accurate masks. Ideal for detailed interaction analysis.

General-purpose experimental data extractor from lab video streams. Ingests footage from XR headsets or fixed cameras and extracts typed, timestamped measurements — liquid volume levels, color/turbidity shifts, cell and colony counts, pipette readouts, instrument display values, gel band intensities — emitting a time-series JSON or CSV table ready for downstream analysis, charting, or ELN attachment.

Generates natural language scene descriptions from 3D Gaussian Splatting reconstructions built from lab photos or short video clips. Outputs structured text with instrument placement, sample positions, spatial layout keywords, and relational predicates — optimized for VLM or spatial intelligence model consumption in protocol guidance, error detection, or AR overlay generation.

Automated SCI-standard Methods section generator from experiment execution records. Parses LabOS skill call chains, structured JSON logs (extract_experiment_data_from_video, analyze_lab_video_cell_behavior), protocol text, and ELN entries to produce flowing, past-tense, passive-voice Methods prose with full reagent citations, equipment model numbers, and statistical analysis subsections. Outputs LaTeX (\subsection{} / \paragraph{}) or Markdown, ready for direct insertion into a manuscript draft.

High-quality 3D hand pose estimation for egocentric videos from ECCV 2024 (ap229997/hands). Provides 3D joint keypoints and skeleton visualization projected to 2D. Optimized for daily egocentric activities with state-of-the-art accuracy. Outputs hand skeleton overlays on video frames.

HOT3D (Hand-Object 3D Dataset) by Meta Facebook - multi-view egocentric hand and object 3D tracking for Aria/Quest smart glasses. State-of-the-art multi-view 3D hand pose, object pose, and hand-object interaction tracking. Supports visualization with 3D joint projections, meshes, and skeletal overlays on video frames.

Real-time XR video vs. protocol text matching and deviation detection. Aligns first-person XR headset video streams frame-by-frame against structured protocol steps, flags procedural deviations, scores compliance, and delivers corrective audio/visual overlays — enabling one-person lab operation with zero-missed-step guarantees.

Generates short, imperative guidance prompts for the next experimental step from current video frame and protocol context. Output is optimized for voice broadcast (TTS) or AR overlay — concise, actionable, command-style — to guide researchers in real time, correct deviations, or resume experiments without breaking flow.

Maps natural language voice commands to concrete LabClaw skill invocations. Parses ASR output, identifies intent, selects target skill, fills parameters from context, and provides prompt templates — enabling hands-free, voice-driven anywhere-lab experiences where researchers control analysis, guidance, and data export by speaking.

Use this skill whenever the user wants an end-to-end workflow for the BOLD5000 dataset, including download, BIDS organization, and processing of task-fMRI data with visual image stimuli. Triggers include: 'BOLD5000', 'BOLD 5000', 'process BOLD5000', 'visual fMRI', or any request to run the BOLD5000 pipeline. This is the NeuroClaw dataset-orchestration layer for BOLD5000.

Use this skill whenever the user wants an end-to-end workflow for the IXI (Information eXtraction from Images) dataset, including data download, BIDS organization, and multimodal processing of T1w, T2w, and MRA. Triggers include: 'IXI', 'IXI dataset', 'process IXI data', 'IXI MRI', or any request to run the IXI multimodal pipeline.

Use this skill whenever NeuroClaw needs concrete nibabel operations for neuroimaging files: loading and validating NIfTI images, inspecting shapes and affine matrices, saving derived images, converting voxel coordinates to MNI/world coordinates, or reading FreeSurfer geometry and annotation files. Triggers include: 'nibabel', 'inspect NIfTI', 'read affine', 'save nifti', 'voxel to MNI', 'atlas coordinates', 'read FreeSurfer surface', 'read annot', or any request focused on low-level neuroimaging I/O rather than full preprocessing.

Use this skill whenever the user wants to perform automated white matter hyperintensity (WMH) segmentation on structural MRI data using the MARS-WMH nnU-Net model. Requires one FLAIR and one T1w NIfTI image (no contrast). Triggers include: 'wmh', 'white matter hyperintensities', 'WMH segmentation', 'MARS-WMH', 'wmh-nnunet', 'segment FLAIR T1', 'white matter lesions', 'vascular WMH', 'mars wmh', or any request to run nnU-Net WMH segmentation on FLAIR+T1w pair.

Production-ready microscopy image analysis and quantitative imaging data skill for colony morphometry, cell counting, fluorescence quantification, and statistical analysis of imaging-derived measurements. Processes ImageJ/CellProfiler output (area, circularity, intensity, cell counts), performs Dunnett's test, Cohen's d effect size, power analysis, Shapiro-Wilk normality tests, two-way ANOVA, polynomial regression, natural spline regression with confidence intervals, and comparative morphometry. Supports CSV/TSV measurement tables, multi-channel fluorescence data, colony swarming assays, and neuron counting datasets. Use when analyzing microscopy measurement data, colony area/circularity, cell count statistics, swarming assays, co-culture ratio optimization, or answering questions about imaging-derived quantitative data.

| image restoration, and spatial data processing.

| Cell and nucleus segmentation tools for microscopy images. Covers Cellpose, SAM-based methods, StarDist, InstanSeg, and Mesmer.

Clawd 像素风动画生成器。根据用户的自然语言描述，生成自包含的 HTML 像素风动画文件，主角是 Claude Code 的吉祥物 Clawd（像素风小螃蟹）。当用户提到 clawd、clawd 动画、像素动画、pixel animation、给 clawd 做一个小动画、让小螃蟹做某事、或任何涉及为 Clawd 角色创建动画场景的需求时，务必使用此 skill。即使用户只是说"让小螃蟹安慰一下我"或"今天和小螃蟹的合作很愉快"，也应触发。请判断用户互动需求的深度，如果用户互动意图只是"快速/简单动画"或"单一状态表情"，应使用 clawd-animation-lite（消耗token更少，时长更短）而非此 skill。

协助意疏写「意疏的AI口袋」公众号文章。Claude 是协作者不是写手——voice 必须从意疏嘴里出来，AI 负责结构化、扩写、降 AI 味。触发：写公众号文章 / 帮我整理口述 / 有素材但想不清 / 这段 AI 味太重 / 看看有没有意疏味道 / 帮我把骨架写成文章。输出 Markdown，排版找 wechat-formatter，发布找 wechat-publisher。

Clawd 像素风动画生成器（轻量版）。根据用户的自然语言描述，生成1-3秒的简短clawd动画，当用户的需求的互动场景较为具体和单一，请采用轻量版本生成token消耗少、生成速度快的HTML像素风动画文件。主角是 Claude Code 的吉祥物 Clawd（像素风小螃蟹）。当用户提到 clawd、clawd 动画、像素动画、pixel animation、给 clawd 做一个小动画、让小螃蟹做某事、或任何涉及轻量化的为 Clawd 角色创建动画场景的需求时，务必使用此 skill。即使用户只是说"让 clawd 开心一下"或"做个小螃蟹的动画"，也应触发。

HTML/React 第一页 Hero 生成工作流。用户提供 Hero Prompt、品牌主题、首页视觉需求、背景视频/图片、或要求"先对齐再生成第一页"、"需要你更改的部分: {}"、"做一个能跑的交互 Hero 页面"时必须使用。本 skill 要求先同步理解和需要替换的部分，确认后再创建或修改前端工程，并交付可运行、可预览、可打包的第一页。

微信公众号文章的发布管道——封面生成、本地图片上传素材库、创建草稿、发布草稿、以及从 mp.weixin URL 提取原文。**触发场景**:用户说 "发到公众号草稿箱" / "推送到公众号" / "做张公众号封面" / "上传图片到微信" / "把这篇文章提取成 markdown" / "改写这篇 mp.weixin 链接(的提取部分)" / 任何提到「发布 / 草稿 / 封面 / 推送 / 提取微信文章」的请求。本 skill **不写文章**(交给 wechat-writer),**不做 markdown → html 排版**(交给 wechat-formatter)——它只处理图片生成、文件上传、微信 API 调用。

Generate elegant cover images for articles. Analyzes content and creates eye-catching hand-drawn style cover images with multiple style and composition options. Use when user asks to "generate cover image", "create article cover", or "make a cover for article".

Convert Mermaid diagrams and Markdown tables to images (PNG) for platforms that don't support rich formatting. Use when user asks to "convert to image", "export as PNG", "make this an image", or has content for X/Twitter that needs visual exports.

Use when an agent needs to delegate a task to the OpenAI Codex CLI from another agent environment such as Claude Code, OpenClaw, or similar. Covers checking whether Codex CLI is installed, running one-off Codex prompts with `codex exec`, resuming sessions, collecting outputs, attaching images or files as input with `-i`/stdin, and handling Codex image generation including finding and reporting generated image file paths.

Design typography-driven video cover images using HTML/CSS + Chrome DevTools screenshot. Generates covers in all needed aspect ratios - 16:9 (YouTube), 16:10 (Bilibili), 9:16 and 3:4 (抖音/视频号 竖屏短视频) - with big readable text. Different from `cover-image` (AI hand-drawn aesthetic) - this is precise typography control via code. Use when user asks for "视频封面", "thumbnail", "做封面", "cover design", "缩略图", "横屏/竖屏封面", "抖音封面", "视频号封面".

Turn a user-provided voiceover audio file + SRT subtitle into a finished, narration-synced MP4 using HyperFrames (HTML-to-video). The audio + SRT are the source of truth — scenes are timed to the SRT cues, content is read from the SRT, and the audio is muxed in automatically. Use when the user hands over an mp3/wav + srt and wants a video, says "把音频做成视频", "做一期视频", "audio + srt to video", "把这期早读做成视频", "render this narration into a video", or provides a recording + subtitles for an explainer / daily / 解读 / 口播. NOT for generating the voiceover (that's the user's job here) and NOT for slide decks (use a slides skill).

Publish Markdown articles to X (Twitter) Articles editor with proper formatting. Use when user wants to publish a Markdown file/URL to X Articles, or mentions "publish to X", "post article to Twitter", "X article", or wants help with X Premium article publishing. Handles cover image upload, converts Markdown to rich text, and automatically converts unsupported elements (tables, mermaid diagrams, deep headers) to images.

Correct subtitle files (.srt) generated from speech recognition. Use when the user uploads subtitle files and asks to correct, fix, or proofread subtitles, especially for technical content like programming tutorials, AI/ML courses, or any content with domain-specific terminology. Supports Chinese and English subtitles with intelligent error detection and correction while preserving exact timeline information.

Produce slides-driven narration videos (口播视频) where each slide maps 1:1 to one voiceover section. Orchestrates a slides-generating skill (PPT, chosen from whatever is available) and `video-planner` (script + publishing materials) with a method-focused production workflow. Use when user wants to make a video that uses slides to explain a topic - e.g. 发布解读 / 产品评测 / 行业观察 / 技术解读 / 趋势分析. Triggers on "做一期视频 + PPT", "slides 视频", "发布解读视频", "深度讲解视频", or similar requests for structured narration videos.

Plan videos and prepare publishing materials for YouTubers/UP主. Use when user wants to plan a video, write a script (口播稿) with on-screen / screen-share cues, generate video title, description, tags, or YouTube chapter timestamps. Triggers on "策划视频", "写视频脚本", "视频口播稿", "video planner", "video script", "prepare video", "视频发布素材", or mentions creating content for YouTube/Bilibili.

Elite Computer Vision Engineer skill with expertise in deep learning for images and video (CNNs, Transformers), object detection (YOLO, DETR), segmentation, OCR, and production CV deployment (TensorRT, ONNX, OpenVINO). Transforms AI into a principal CV engineer capable of building real-time vision systems. Use when: computer-vision, image-processing, object-detection, deep-learning, cnn,

Extract metadata and content from WeChat Official Account articles. Use when user needs to parse WeChat article URLs (mp.weixin.qq.com), extract article info (title, author, content, publish time, cover image), or convert WeChat articles to structured data. Supports various article types including posts, videos, images, voice messages, and reposts.

Expert-level Traditional Instrument Maker skill with deep knowledge of Chinese and Asian traditional instrument making. Transforms AI into a master luthier with 25+ years of experience in crafting plucked, bowed, and wind instruments. Use when: crafts, instrument-making, traditional-music, woodcraft, acoustic-design.

Expert animator with 12+ years in 2D/3D animation, motion graphics, and visual effects for film, TV, and digital media. Specializes in character animation, timing and spacing, squash and stretch, and production workflows. Use when: animation, motion-graphics, visual-effects, 2d-animation, 3d-animation.

Master illustrator with 15+ years in editorial, children's books, advertising, graphic novels, and entertainment concept art. Provides visual concept development, composition guidance, digital painting techniques, and client brief interpretation. Use when users request illustration, digital painting, character design, concept art, or visual development.

Master motion designer specializing in animation, visual effects, kinetic typography, and dynamic storytelling. Use when creating animated content, video graphics, title sequences, or motion-based brand expressions. Use when: motion-design, animation, after-effects, visual-effects, kinetic-typography.