Trouvez la capacité idéale pour votre agent.
Multi-surface rendering with json-render — same JSON spec produces React components, PDFs, emails, Remotion videos, OG images, and more. Covers renderer target selection, registry mapping, and platform-specific APIs (renderToBuffer, renderToStream, renderToFile). Use when generating output for multiple platforms, creating PDF reports, email templates, demo videos, or social media images from a single component spec.
Shares, surfaces, and discusses PDF annotations across a research team. Use when the user wants to see what teammates highlighted or noted in a paper, share their own annotations with the team, search across all team annotations on a topic, start or reply to a discussion thread on a specific passage, or import annotations from Zotero or Hypothesis. Triggers on phrases like "what did X highlight", "share my annotations", "team notes on this paper", "search annotations", "what did we note about", "annotation thread", "import from Hypothesis".
Use this skill any time the user needs a visual output as an image or PDF — charts, diagrams, posters, infographics, abstract artwork, or any visual design. Trigger for: data visualization requests, poster/flyer creation, infographic design, abstract or artistic visuals, architecture/flow diagrams, or any request mentioning 'chart', 'graph', 'poster', 'infographic', 'design', 'visual', or referencing .png/.pdf image output.
OCR PDFs with docling while tracking per-page text and rasterize PDFs to images. Use for PDF ingestion, page-aware text extraction, rendering pages to images, or inspecting PDF metadata, with outputs saved under a local project directory.
This skill should be used when the user asks to "create a proposal", "design a report", "make a one-pager", "build a PDF", "create a newsletter", "design slides", "make event materials", "design a flyer", or needs help with print-ready HTML documents. Provides brand configuration, CSS patterns for print layout, and document design best practices.
深度调研主题并自动生成知识关系图谱PDF。接收研究主题后自动进行网络调研、信息收集、知识整理，最终生成专业的可视化关系图谱。适用于"研究...并做图"、"深度分析...并可视化"、"生成知识图谱"等场景。
Generate professional slide-deck SVG images (not PPTX/PDF) when users ask to “create slides / slide deck / PPT” and need image outputs.
Generate statistics for publication-year and journal distributions from local references or PDFs; use when you need standardized Year/Journal tables and a summary without any network access.
A low-level plotting library for comprehensive customization. Use when fine-grained control over every plot element is needed, creating new types of charts, or integrating into specific scientific workflows. Can export to PNG/PDF/SVG for publication. For quick statistical charts, use seaborn; for interactive charts, use plotly; for journal-style, publication-ready multi-panel charts, use scientific-visualization.
Generate concise (typically 1–4 pages) patient-centered medical treatment plans in LaTeX/PDF when a clinician needs an actionable plan with SMART goals, evidence-based interventions, monitoring, and HIPAA-aware documentation.
当用户需要判断保险理赔案件中的身故场景是否可能落入保险责任范围、分析身故理赔能不能赔、结合保单和条款判断身故责任是否可能触发、识别等待期自杀条款意外或疾病属性免责争议或评估材料是否足以支持身故责任判断时使用本 skill。适用于分析理赔系统案件记录、报案信息、居民死亡医学证明（推断）书、死亡证明、抢救记录、门急诊或住院病历、出院记录或死亡记录、尸检报告、公安机关证明、交通事故认定书、火化证明、户籍注销证明、法院判决书或司法文书、受益人申请材料、客服或审核备注、OCR 文本、PDF 文档和截图转写内容，并结合产品责任、身故责任条款、等待期、自杀条款、责任免除、意外与疾病身故区分规则和高风险行为限制形成结构化初步判断。
当用户需要判断保险理赔案件中的重大疾病场景是否可能落入保险责任范围、分析某个重大疾病是否达到赔付定义、结合保单和条款判断重疾责任是否可能触发、识别等待期既往症除外责任定义边界争议或评估材料是否足以支持重疾责任判断时使用本 skill。适用于分析理赔系统案件记录、报案信息、门诊或住院病历、诊断证明、病理报告、影像检查报告、实验室检查报告、手术记录、出院小结、会诊意见、基因检测结果、专科医生说明、客服或审核备注、OCR 文本、PDF 文档和截图转写内容，并结合产品责任、重疾定义、等待期、责任免除、轻症中症重疾边界、多次赔付限制和疾病状态要求形成结构化初步判断。
当用户需要查找与理赔案件相关的保险条款、定位责任定义和免责条文、根据案件事实匹配相关保险条款、提取影响理赔判断的关键条文或输出适合理赔审核、复核、客服支持和调查使用的理赔条款定位结果时使用本 skill。适用于分析理赔系统案件记录、报案信息、门诊或住院病历、诊断证明、重疾身故事故相关资料、费用清单与发票、调查记录、客服或审核备注、OCR 文本、PDF 文档、截图转写内容以及产品条款全文、特别约定、责任免除条款、等待期约定、多次赔付规则、医院范围和条款版本信息，并形成结构化条款索引与摘要。
Guide for implementing Google Gemini API document processing - analyze PDFs with native vision to extract text, images, diagrams, charts, and tables. Use when processing documents, extracting structured data, summarizing PDFs, answering questions about document content, or converting documents to structured formats. (project)
Guide for implementing Cloudflare Browser Rendering - a headless browser automation API for screenshots, PDFs, web scraping, and testing. Use when automating browsers, taking screenshots, generating PDFs, scraping dynamic content, extracting structured data, or testing web applications. Supports REST API, Workers Bindings (Puppeteer/Playwright), MCP servers, and AI-powered automation. (project)
Convert PlantUML (.puml) files to images (PNG/SVG/PDF). Supports configurable PlantUML jar and Java paths via config file (plantuml-config.json in skill directory) or environment variables (PLANTUML_LIB). No external dependencies beyond Java and PlantUML.jar. Trigger: convert puml, render PlantUML, puml to png, export diagram.
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib
