Skill UI

This skill allows users to search, fetch detailed metadata, download, and summarize academic papers from the arXiv repository. It supports searching by keywords or specific arXiv IDs and provides robust arguments for controlling the results count, output directory, and download scope. Ideal for students, researchers, and anyone requiring scholarly literature.

A guide for refining search queries when researching Indian or South Asian actors. It emphasizes the necessity of including domain keywords such as "Bollywood," "Hindi film," or specific Indian award names (e.g., "Filmfare Award") to filter out irrelevant Western search results and drastically improve search precision.

This technique guides users on how to construct highly specific search queries for academic papers. Instead of relying solely on broad topic keywords, users should prioritize combining concrete numerical identifiers—such as exact sample sizes, population percentages, concentration levels, or specific year ranges—with methodological terms and discipline keywords. Using these numerical anchors significantly increases the uniqueness and precision of the search results, helping to pinpoint the exact study required.

A comprehensive setup guide for establishing a fast, reproducible local development environment for AssemblyAI projects. It incorporates hot reloading, local caching of transcription results, and mocked testing utilities to ensure rapid iteration cycles without relying on live API keys or incurring costs. Ideal for setting up new services or enhancing existing AI workflows.

This tool provides comprehensive management capabilities for Objectives and Key Results (OKR) within Lark. Users can view and edit entire OKR cycles, manage objectives, define key results, track progress records, adjust weights, and establish alignment relationships. It is essential for teams needing structured goal setting, performance tracking, and corporate alignment management.

This tool facilitates comprehensive prior art searches across global patent databases (Google Patents, Espacenet) and academic literature (Google Scholar, arXiv). It guides users through extracting core inventive concepts, performing targeted searches using keywords and IPC/CPC codes, and analyzing the results to assess novelty, overlap risk, and general freedom-to-operate.

This guide covers advanced retrieval strategies that significantly boost search quality beyond basic vector similarity search. Techniques include Hybrid Search (combining dense and sparse indexing), Reranking (improving result order), Relevance Feedback (guiding search with iterative user scores), and Maximal Marginal Relevance (MMR) for diversity. Use these methods when standard search results lack relevance, miss critical keywords, or exhibit poor precision.

This guide provides a comprehensive reference for common errors encountered when using the SerpApi. It covers issues like invalid API keys, exhausted search credits, missing parameters, and CAPTCHA blocks. Use this when your automated search results are incorrect, empty, or return unexpected status codes, allowing you to quickly diagnose the root cause and implement fixes.

A comprehensive workflow for scraping and extracting structured data from Google search results using the SerpApi. It captures all key components, including organic listings, knowledge graphs, answer boxes, People Also Ask (PAA), local pack results, and related searches. Ideal for SEO monitoring, market research, competitive analysis, or building search-powered features that require deep, structured data insights.

This guide details how to install the official SerpApi client library for Python and Node.js, and properly configure API key authentication. It is essential for any project requiring structured JSON results from major search engines like Google, Bing, and YouTube, ensuring secure and reliable search result scraping.

This skill implements comprehensive SERP (Search Engine Results Page) monitoring using SerpApi. It covers asynchronous search result retrieval via polling and builds robust pipelines for tracking keyword rankings over time. Ideal for SEO tools, competitive intelligence, and automated performance monitoring.

This guide provides advanced search strategies for tracking Asian music, including K-pop, J-pop, and Filipino genres. It details how to construct highly specific queries by incorporating regional keywords, understanding idol comeback cycles, and utilizing cultural details (such as zodiac or national identity) to narrow down search results and avoid generic noise.