Skill UI

This technique helps locate video games when the primary information provided is not the game title, but rather indirect clues about the game's developing company. Clues can include the company's name meaning, founder background, corporate history, or foundation activities. You must first decode these clues to identify the company, and then search the company's associated game catalog.

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.

This skill systematically analyzes an existing codebase to generate seven comprehensive technical documents. It covers the technology stack, architectural patterns, directory structure, coding conventions, external integrations, testing strategies, and technical concerns. It is invaluable for new team members onboarding, conducting project audits, or creating a complete, verifiable system knowledge base.

This skill helps translate vague or descriptive language used in questions about historical events, figures, or cultures into specific, proper historical terms or nouns. It moves beyond literal search queries by recognizing underlying concepts (e.g., translating 'exaggerate facts about a region' to 'tall tales'). It is particularly effective for researching global history, providing crucial techniques for narrowing down searches related to South Asian, Middle Eastern, and African contexts where standard Western sources might be insufficient.

A comprehensive coaching guide for advancing careers in the technology industry, covering roles like Software Engineering, Data Science, and Product Management. It provides actionable strategies for resume optimization (ATS format), technical interview preparation (Algorithms, System Design, Behavioral), salary negotiation, and navigating complex career paths (IC vs. Management). It adapts advice to both global (FAANG) and Chinese tech ecosystems.

This technique is designed for entity recognition and hypothesis generation when identifying Indian or Bollywood actors based on indirect clues. Instead of running broad searches, users should hypothesize a small set of candidate names (1-3) using the provided clues (e.g., awards, family history, controversies). Subsequently, targeted verification searches must be executed for each constraint against the candidate names to confirm the correct identity.

This guide teaches advanced search techniques for identifying specific video games. It emphasizes using highly discriminative technical details such as specific platforms (e.g., DOS, NES, PS4), distribution methods (shareware), game engines, era, and detailed review scores from niche sites. By combining multiple constraints (Platform + Era + Detail), users can dramatically narrow down search results, even locating specific developers or artists involved in the game's creation.

This technique is designed to identify South Asian (Indian/Bollywood) films when the question provides insufficient information to name the movie directly. Instead, it requires chaining together the biographical details of the actor or director—such as birth year, debut era, family relations, or awards—to first uniquely identify the person, and then use that identity to locate the target film and verify all constraints.

This technique is designed for advanced academic research, enabling users to search for theses by running two parallel tracks: a Topic Track (focusing on discipline, methodology, and materials) and a People Track (focusing on university, advisor, degree type, and year). By switching between these two methodologies, users can cross-validate results and significantly improve the accuracy and completeness of their literature review.

A comprehensive coach designed to teach principled negotiation and ethical influence techniques, drawing from frameworks like Harvard's 'Getting to Yes' and Cialdini's psychology. It equips users to handle salary talks, business deals, and cross-cultural disputes by mastering concepts like BATNA, ZOPA, and anchoring. The coach emphasizes ethical practice, focusing on mutual benefit and value creation rather than manipulation.

Geniml is a comprehensive Python package designed for applying machine learning techniques to genomic interval data stored in BED files. It provides advanced methods like Region2Vec, BEDspace, and scEmbed to learn embeddings for genomic regions, single cells, and metadata. Use it for dimension reduction, clustering, similarity searches, and sophisticated bioinformatic analyses in genomics. Core functionalities include: learning region embeddings (Region2Vec), joint embeddings of regions and metadata (BEDspace), single-cell chromatin accessibility embedding (scEmbed), and building consensus...