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Found 166 Skills
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.
Extract full paper details from a CNKI paper page including title, authors, affiliations, abstract, keywords, fund, classification. Use when the user needs detailed information about a specific paper.
Query journal indexing/inclusion status on CNKI - check which databases include a journal (北大核心, CSSCI, CSCD, SCI, EI, etc.), get impact factors and evaluation data. Use when user asks about a journal's level, indexing, or ranking.
Use TinyFish web agent to extract/scrape websites, extract data, and automate browser actions using natural language. Use when you need to extract/scrape data from websites, handle bot-protected sites, or automate web tasks.
Use this skill when writing regular expressions, debugging pattern matching, optimizing regex performance, or implementing text validation. Triggers on regex, regular expressions, pattern matching, lookahead, lookbehind, named groups, capture groups, backreferences, and any task requiring text pattern matching.
Specialized for in-depth analysis of listed companies' financial reports (such as annual reports, quarterly reports). This skill can automatically extract key financial indicators, calculate core financial ratios, generate visual charts, and produce professional financial analysis reports combined with industry background.
Search and scrape public web content with headless Chrome and DuckDuckGo using safe practices.
Use this skill for web search, extraction, mapping, crawling, and research via Tavily’s REST API when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly format is beneficial.
Guidance for extracting and processing data from ELF (Executable and Linkable Format) binary files. This skill should be used when tasks involve parsing ELF headers, reading program segments, extracting memory contents, or converting binary data to structured formats like JSON. Applicable to reverse engineering, binary analysis, and memory dump extraction tasks.
Extracts structured data from LLM responses using JSON schemas, Zod validation, and function calling for reliable parsing. Use when users request "structured output", "JSON extraction", "parse LLM response", "function calling", or "typed responses".
Open Source Intelligence techniques for CTF challenges. Use when gathering information from public sources, social media, geolocation, or identifying unknown data.
Download podcast episodes from Apple Podcasts using iTunes API with RSS fallback