Skill UI

This skill performs deep forensic analysis on SQLite databases, going far beyond simple SQL queries. It is used in digital forensics and incident response to recover deleted records from freelist pages, analyze Write-Ahead Logs (WAL), and examine internal B-tree structures. It is essential for extracting critical evidence from mobile, browser, and application data sources.

Utilize Bright Data's Scraping Browser with Playwright or Puppeteer to reliably scrape structured data from JavaScript-rendered pages, Single Page Applications (SPAs), and anti-bot-protected sites. This tool manages proxy routing, CAPTCHA solving, and fingerprint management, ensuring robust data collection from complex web environments.

This comprehensive guide demonstrates how to scrape live webpages using Bright Data's Web Unlocker proxy. It details how to bypass advanced anti-scraping mechanisms, such as CAPTCHAs and fingerprinting, automatically. Users are provided with full code examples in both Node.js and Python, showing methods for scraping via the proxy endpoint and through the dedicated REST API. Ideal for starting new scraping projects or integrating Bright Data into existing workflows.

This skill provides comprehensive knowledge of the Power BI Enhanced Report (PBIR) JSON schema. It details the structured metadata for report components, including visuals, pages, themes, bookmarks, and complex formatting rules. Users learn how to read and manipulate the underlying PBIR JSON to understand how Power BI reports are built and customized, adhering to strict technical guidelines and operational best practices.

Transform raw structured data (CSV, Excel, JSON) into professional, long-form, interactive visualization reports. This tool generates comprehensive business review pages featuring KPI dashboards, multiple dynamic charts (using Chart.js/ECharts), detailed data tables, and narrative business insights, making it ideal for weekly or monthly performance reporting.

This skill allows users to extract structured data (text, tables, attributes) from rendered web pages. It enhances traditional web scraping by ensuring all extracted strings pass mandatory AIDefence PII checks and prompt-injection gates before being stored or returned to the model. It supports building reusable extraction templates and running one-shot queries.

This comprehensive checklist guides researchers through the detailed formatting and technical requirements for submitting manuscripts to the Econometric Theory journal via ScholarOne/Manuscript Central. It covers critical points such as creating a single embedded-font PDF, adhering to APA author-date referencing, maintaining single-anonymous identity, and managing the article length ceiling (50 pages). Use this before final submission to avoid common rejection reasons.

A comprehensive guide on structuring empirical research papers for top-tier conferences, such as FSE. It outlines strict partitioning rules, ensuring that all decision-critical evidence, core arguments, and key findings reside within the primary reviewed body, while supplementary artifacts and appendices provide necessary, but non-judgmental, support. Covers page budget discipline, double-anonymity requirements, and optimizing the paper's flow.

A comprehensive audit guide for authors preparing submissions for the International Conference on Database Theory (ICDT). This guide covers critical aspects including selecting the correct submission cycle, adhering to the two-step abstract-then-paper deadline, meeting the LIPIcs formatting standards (15 pages excluding references), ensuring complete and verifiable proofs, and maintaining strict anonymity since 2024. Use this before uploading to Microsoft CMT.