Skill UI

This comprehensive audit checklist is designed for authors submitting papers to the ACM RecSys conference. It guides users through selecting the correct specialized track (Main, Industry, Reproducibility), adhering to strict page budgets, ensuring thorough double-blind anonymization, and mitigating common submission risks like identity leaks and improper data splitting.

A comprehensive guide detailing the rigorous, multi-stage academic review process for top-tier data mining conferences (e.g., WSDM). It analyzes the hybrid single/double-blind architecture, the impact of no rebuttal phase, and the distinct perspectives of academic and industry reviewers. Use this guide to understand the requirements for writing and structuring submissions that maximize acceptance chances.

Scikit-learn is the industry-standard Python library for classical machine learning. It provides comprehensive tools for supervised and unsupervised learning tasks, including classification, regression, clustering, and dimensionality reduction. Use it to build robust, production-ready ML pipelines, perform rigorous model evaluation, and preprocess complex datasets for various data science applications.

Provides a comprehensive, quantitative auditing system for AI agents, skills, and commands. It evaluates these components against industry best practices using a multi-criteria weighted scoring model and assign a production readiness grade (A-F). Ideal for validating complex AI systems before deployment, identifying gaps, and ensuring robust, maintainable code.

This skill provides expert capabilities for professional HTML development, emphasizing semantic markup, WCAG accessibility, and modern HTML5 standards. Use it to build structurally sound, accessible, and responsive web pages, incorporating complex forms, multimedia (SVG, Canvas), and adhering to industry best practices.

This skill facilitates the crucial grounding step for clinical coding by interacting with external FHIR terminology servers. It supports core operations such as `$validate-code`, `$expand` (for ValueSets), `$lookup`, and `$translate` (ConceptMaps). It ensures that raw text spans are converted into validated, coded `CodeableConcept` resources using industry standards like SNOMED CT, LOINC, and ICD-10, maintaining interoperability.

Provides a comprehensive framework for blue-team threat hunting and detection engineering. Users learn hypothesis-driven hunting techniques, optimize SIEM queries, and build robust detection rules using industry standards like Sigma and YARA. Essential for minimizing false positives and validating security controls in a defensive posture.

This tool automatically formats Python code using the industry-standard 'black' formatter. It ensures your codebase adheres to consistent style guidelines, improving readability and maintainability across the entire team. Ideal for development workflows and code reviews.

This robust methodology guides users to strip away assumed constraints, industry conventions, or historical precedents. By isolating only the fundamental, independently supported primitives (like physics, core math, or measured needs), it enables the rebuilding of the simplest, most robust solution that genuinely satisfies real-world constraints, bypassing artificial or arbitrary limitations.

A comprehensive framework for producing high-authority, multi-layered AI industry content. This skill teaches how to structure content across three pillars: real-time quick news reports (Speed), data-driven deep dives (Depth), and annual trend reports/panorama maps (Authority). Ideal for content creators, journalists, and industry analysts needing to establish thought leadership in the rapidly evolving AI sector.

A comprehensive tool to inspect and configure critical HTTP security headers (such as CSP, CORS, X-Frame-Options) for modern web applications. It identifies security gaps, assesses cross-origin permissions, and guides users through hardening settings like cookie behavior, ensuring the site meets current industry security standards.

A methodology for creating deep, technical AI content with a cool, anti-hype perspective. Covers research paper analysis, industry trend observation, and sharp commentary on AI events, emphasizing plain-language translations of technical reports.