Skill UI

This technique guides users on decomposing multi-constraint questions, especially in the domain of football trivia or historical research. Instead of searching all criteria simultaneously, it instructs users to rank constraints by distinctiveness (e.g., specific match results first, then historical milestones). By performing incremental, cascading searches, the system dramatically narrows down the result set, leading to more accurate information retrieval.

Expert technique for narrowing down Asian drama candidates by leveraging streaming platform and broadcast channel information. Use this when the query mentions services like Netflix, Viki, or Amazon Prime, combined with genre and year details. This method significantly increases search precision, especially when combining platform data with temporal or thematic keywords.

This skill analyzes cultural clues within a query to determine the potential origin (e.g., Korean, Turkish, Indian, Thai) of a non-English TV drama. By identifying specific regional indicators—such as actor naming conventions, cultural themes, or broadcast channels—the system can generate highly precise, region-specific search keywords. This drastically improves search accuracy when the source country is not explicitly mentioned.

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 optimizes search precision when querying blog posts or articles. By wrapping unique phrases, specific titles, or direct quotes in quotation marks, the system treats the phrase as a single, exact unit. This prevents the search engine from breaking the phrase into individual words, which dramatically reduces noise and increases the likelihood of finding the intended source material.

A technique for dramatically increasing the hit rate when searching for TV series. Instead of using generic terms like genre or era, combine 2-3 highly distinctive plot details (e.g., character sacrifices, specific season incidents) into a single query. This method leverages the unique nature of plot points to pinpoint specific shows quickly.

This technique leverages structured data from music awards (like Grammy nominations and wins) to act as powerful search anchors. By extracting clues such as the award category, year, and status (nominated/won), users can cross-reference potential musicians against verifiable award databases. This method significantly narrows down the pool of candidates, allowing for highly accurate identification and verification of artists.

A specialized technique for searching Asian dramas that frequently use multiple titles in various languages (Korean, Turkish, etc.). This method advises using the original language title or leveraging the 'alternative titles' pattern when standard English searches fail, significantly improving search discrimination and accuracy for global media content.

Search OpenAlex, PubMed, and Google Scholar for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. Ideal for literature reviews, reference verification, DOI-to-BibTeX conversion, and bibliography building.

This guide provides a comprehensive framework for optimizing operational costs within the Glean enterprise search platform. It details best practices for content governance, including filtering stale drafts and limiting document sizes, optimizing data source connectors, and implementing incremental indexing strategies. Implementing these measures helps minimize indexing volume and usage fees, maximizing search value while maintaining cost efficiency.

This comprehensive workflow provides robust export and conversion capabilities for Apple Notes. It converts Apple Notes' internal HTML storage into multiple developer-friendly formats, including Markdown, JSON, HTML, and SQLite. Use it for reliable backups, migrating notes to other applications, or building searchable, portable note archives.

This library provides production-ready, type-safe patterns for automating Apple Notes management on macOS. Using JXA and AppleScript wrapped in a Node.js client, it allows developers to easily list, create, search, and perform batch operations on notes, complete with robust error handling and throttling for reliable workflow integration.