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Paper reader for non-academics. Takes a paper and extracts its ideas for personal use. Focuses on understanding, not academic critique. Use when user shares an arxiv link, paper URL, PDF, or asks to analyze a research paper. Trigger words: '读论文', '分析论文', 'paper', or when user shares an academic paper.
A medical-research-native literature reading skill for users with clinical, bioinformatics, translational, and basic experimental backgrounds. Use this skill whenever a user wants to read, analyze, critique, or interpret a medical or scientific paper — whether they provide a PDF, abstract, DOI, PMID, or just a title. Triggers include requests like "analyze this paper", "critique this study", "is this a strong paper?", "give me similar studies", "prepare me for journal club", "help me understand this bioinformatics paper", "what are the weaknesses here?", or "turn this into a mind map". Also activate for any downstream deliverables such as journal club kits, comparison tables, PI decision briefs, replication starters, or follow-up experiment designs. Do NOT treat as a generic summarizer — this skill performs structured evidence-type classification, track-specific critical appraisal, interpretation-boundary judgment, and research-grade follow-up generation.
This skill should be used when the user asks to "check paper citations", "verify references", "detect fake citations", "validate bibliography", "check if papers exist", "查文献真伪", "检查论文引用", "验证参考文献", "识别虚假引用", or uploads a PDF/Overleaf document and wants to verify whether the cited papers genuinely exist. Provides systematic verification of academic references against Google Scholar, CNKI, arXiv, and other academic databases to detect AI-hallucinated or fabricated citations.
Fetch academic papers from Sci-Hub given a DOI. Automatically downloads PDFs and saves them to research/papers/ with clean filenames. Use when the user provides a DOI or requests a paper from PubMed.
Visualize gene structure with exon-intron diagrams, domain annotations, and mutation position markers. Produces SVG, PNG, or PDF figures suitable for publication from a gene symbol input.
Harden agent sessions against prompt injection from untrusted content. Use when the agent reads web search results, emails, downloaded files, PDFs, or any external text that could contain adversarial instructions. Provides content scanning, memory write guardrails (scan → lint → accept or quarantine), untrusted content tagging, and canary detection. Also use when setting up new tools that ingest external content (email checkers, RSS readers, web scrapers).
Upload and send local files to Feishu chats. Requires Feishu app credentials (app_id/app_secret) in ~/.openclaw/openclaw.json. Use when user asks to send/share/upload files (CSV, PDF, Excel, images, ZIP) to Feishu. Supports chat_id (groups), open_id/user_id (users), and email recipients.
Automatic privacy proxy for AI conversations. Redacts sensitive data (names, companies, financials, SSNs, emails, phones, addresses, API keys, IPs, passwords, and 14 more types) from documents before sending to cloud LLMs, then restores originals in the response. 24 entity types across 6 profiles (General, Legal, Financial, Email, Code, Medical). Use when: (1) user attaches a document (PDF, TXT, etc.), (2) user pastes sensitive text, (3) user mentions contracts, financials, HR docs, medical, or legal documents, (4) user explicitly asks for privacy/cloaking. Always-on by default. Requires: Node.js 22+, CloakClaw installed (`npm install -g cloakclaw`). Optional: Ollama for name/company detection (works without in regex-only mode). Optional: poppler for better PDF extraction (`brew install poppler`).
账号升级与权限说明 skill。用于处理配额不足、绑定账号、会员权益、PDF 不可用、升级方案和 API Key 入口说明。当用户说“怎么升级”“为什么不能导出 PDF”“绑定账号”时使用。
发票 OCR 识别技能。扫描文件夹中的发票文件（PDF/图片），调用阿里云 OCR API 识别发票信息并导出到 Excel 表格。支持 17+ 种发票类型（增值税发票、火车票、出租车票、机票行程单、定额发票、机动车销售发票、过路过桥费发票等）。使用场景：(1) 用户提到"发票识别"、"发票统计"、"发票整理"、"发票汇总" (2) 用户需要批量处理发票 (3) 用户提到阿里云 OCR 识别发票。**重要：首次使用必须先配置阿里云凭证，主动向用户索要 AccessKey ID 和 AccessKey Secret，或引导用户运行 --config 命令自行配置。**
Gemini CLI tool for building, debugging & deploying with AI. Use when querying codebases, generating apps from images/PDFs, automating workflows, or performing AI-powered code tasks from the command line.
自动抓取 AI/算力/大模型/GPU 相关最新资讯简报，使用 Chrome 浏览器自动化绕过反爬，支持多个科技媒体来源，支持PDF生成和邮件推送
一键生成乔布斯风极简科技感 PPT，支持 HTML/PDF 导出。当用户需要制作演示文稿、工作汇报、产品发布、融资路演时触发。
Use this skill when users need to create QR codes for any purpose. Triggers include: requests to "generate QR code", "create QR", "make a QR code for", or mentions of encoding data into scannable codes. Supports URLs, text, WiFi credentials, vCards (contact information), email addresses, phone numbers, SMS, location coordinates, calendar events, and custom data. Can customize colors, add logos, generate bulk QR codes, and export in multiple formats (PNG, SVG, PDF). Requires OpenClawCLI installation from clawhub.ai.
使用内置 link_reader 函数读取网页、PDF或抖音视频内容。准备 URL 列表。运行脚本 `python scripts/link_reader.py "url1" "url2" ...`。
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
Build informative websites from research reports. Transforms research output (markdown or typst/pdf) into polished, domain-appropriate websites with professional design, data visualization, and scroll-based animations. Triggers on research-to-website tasks, report visualization, or when converting research into web presentations.
Evaluate multimodal AI agents that process images, audio, PDFs, or other files. Sets up evaluations using LangWatch's LLM-as-judge with image inputs, Scenario's multimodal testing, and document parsing evaluation patterns. Use when your agent handles non-text inputs.
