Skill UI

This guide provides methodological standards for defending the empirical design of a language manuscript. It covers various subfields—including fieldwork, corpus construction, phonetics, and typological comparison—ensuring that the evidence base is transparent, rigorous, and directly supports the stated theoretical claims. Use this when justifying data collection methods or addressing reviewer concerns about evidence validity.

A comprehensive guide for researchers detailing how to structure the 'Related Work' section for top-tier parallel computing conferences like PPoPP. It emphasizes 'delta-first' comparison, covering specific technical lanes (concurrent data structures, runtimes, GPU acceleration, memory models), and ensuring proper academic positioning against major parallel systems venues.

A comprehensive guide detailing how to manage the division of content between the core 7-page paper body and the supplemental materials package for SIGGRAPH submissions. It emphasizes treating the results video as primary evidence, providing best practices for video creation, comparison galleries, and organizing additional technical evidence (code, data, proofs).

A comprehensive methodological guide for researchers submitting data management papers. It helps users assess if their contribution is a fundamental system advance or merely an application. The guide provides detailed decision frameworks and comparisons between top-tier venues like SIGMOD, PVLDB, KDD, and PODS, ensuring the focus remains on the core data-management primitive.

This guide provides rigorous guidelines for integrating various forms of empirical evidence—including quantitative data, qualitative case studies, and historical comparisons—into advanced social science manuscripts. It emphasizes that evidence must actively support or test the core proposition, requiring authors to translate raw findings into conceptual insights and mechanisms, rather than simply presenting methods or data.

This skill guides the extraction of structured data from multiple documents (PDF, DOCX) into a comprehensive, cited Excel matrix. It is ideal for legal, contractual, or research review processes where users need to compare specific clauses, provisions, or pieces of information across numerous source files, ensuring every extracted data point includes a citation (page number and context quote) for verifiable accuracy.

Compare multiple Japanese NLP libraries, models, or datasets across selected criteria using a comparison table. Supports both specific tool comparison (seed mode) and topic-based comparison (topic mode). Uses bundled data and web search to find relevant resources. Ideal for evaluating alternatives before choosing the best tool for your project.

Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool. Supports price monitoring, competitor comparison, MAP enforcement, review analysis, and seller discovery.

Instrument LLM applications with Langfuse tracing, prompt versioning and evaluation. Covers SDK setup, masking sensitive data, span verification, dataset comparison and debugging production LLM pipelines.

Access comprehensive financial data including income statements, valuation multiples, and company profiles for HK, US, A-share, and Singapore stocks via Longbridge. Supports DCF modeling, value screening, and cross-stock comparison for investment research and business analysis.

Generates SQL validation notebooks for dbt PR changes with before/after comparison queries. Supports GitHub PR URLs and local repositories. Creates interactive notebooks for database validation across Snowflake, BigQuery, Redshift, and Athena. Includes schema inference from dbt_project.yml and model configs.