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Found 279 Skills
Firecrawl integration. Manage data, records, and automate workflows. Use when the user wants to interact with Firecrawl data.
Parse current CNKI search results page into structured paper data (title, authors, journal, date, citations). Use after a search has been performed and you need to extract the results.
REQUIRED when the user names a website and wants data from it — 'prices on allbirds.com', 'flights on kayak', 'listings from zillow'. Replaces scraping with clean JSON endpoints. For adding new sites, use hermai-contribute.
Crawlbase integration. Manage data, records, and automate workflows. Use when the user wants to interact with Crawlbase data.
通过专利ID或公开号获取专利文件中的全文附图（图纸、示意图、图表）。当用户询问专利图片、专利图纸、专利示意图、专利插图、全文附图、专利图表、专利技术图或想查看、下载专利文件中的嵌入图片、patent fulltext drawings, patent diagrams, technical drawings, patent images, PatSnap时触发此技能。即使用户未明确提及"全文附图"，只要其需求涉及获取特定专利中的视觉内容（图纸、示意图、图表），也应触发此技能。
Convert files between 140+ formats using the ConversionTools MCP server. Use when the user needs to convert documents (Word, PDF, Excel, PowerPoint), data formats (JSON, CSV, XML, YAML, Parquet), images (PNG, JPG, WebP, AVIF, HEIC, JXL, SVG), audio (MP3, WAV, FLAC), video (MOV, MKV, AVI to MP4), e-books (EPUB, MOBI, AZW), OCR text extraction, AI-powered data extraction, AI text-to-speech (TTS), AI speech-to-text transcription (STT), subtitle conversion (SRT, VTT, ASS), or website screenshots.
Integrate Apify into an existing JavaScript/TypeScript or Python application using the apify-client package. Use when adding web scraping, automation, or data extraction capabilities to an existing app via the Apify API.
Extract data from construction images using AI Vision. Analyze site photos, scanned documents, drawings.
Track and compare prices across e-commerce websites using stealth scraping.
Structured data research: search sources, extract structured data, archive raw sources, maintain canonical tracker pages, deduplicate. Parameterized via YAML recipes for investor updates, donations, company updates, or any email-to-structured-data pipeline.
Extract structured JSON data from text using Zod schemas
Pull structured data from messy text using AI. Use when parsing invoices, extracting fields from emails, scraping entities from articles, converting unstructured text to JSON, extracting contact info, parsing resumes, reading forms, or any task where messy text goes in and clean structured data comes out. Powered by DSPy extraction.