Skill UI

This SDK provides a comprehensive client library for Azure AI Document Translation service. It enables large-scale, batch translation of various document formats, including Word, PDF, Excel, and PowerPoint, while accurately preserving the original document structure and formatting. It supports features like glossary integration and async operations, making it ideal for enterprise content localization pipelines.

This SDK provides a comprehensive client library for Azure AI Document Translation service. It enables large-scale, batch translation of various document formats, including Word, PDF, Excel, and PowerPoint, while accurately preserving the original document structure and formatting. It supports features like glossary integration and async operations, making it ideal for enterprise content localization pipelines.

This workflow executes a single-query search using the Perplexity Sonar model, ensuring all returned answers are web-grounded and accompanied by inline citations. It is essential for building high-trust applications, fact-checking tools, or any system requiring verifiable, real-time information retrieval. The process includes API interaction, detailed response parsing (answer, citations, search results), and formatting the output into a usable, source-linked format.

This protocol defines the structured communication rules for multiple specialized AI agents simulating C-suite roles (e.g., CFO, CTO, CRO). It dictates invocation syntax, response formatting, and enforces strict constraints (such as loop prevention, call depth limits, and isolation rules) to ensure coordinated, non-contradictory, and reliable cross-functional analysis for executive decision-making.

Generates and validates llms.txt files, the emerging standard that tells AI systems how to prioritize and understand a website; crawls content, ranks pages, and enforces formatting so your brand narrative stays consistent.

This skill systematically probes an AI model's core behavioral patterns across six critical dimensions, including reasoning, refusal, formatting, and grounding. It generates a comprehensive, styled HTML report with radar charts and actionable insights, allowing users to understand a model's true capabilities, compare different models, or perform compliance and red-team assessments without needing an external API key.

A comprehensive scoring tool to validate localized or translated content before publishing. It calculates a composite score by analyzing technical accuracy (e.g., formatting preservation, placeholder integrity, length ratios), overall content quality, brand voice consistency, and adherence to target market compliance rules. Use this to replace subjective checks with structured, repeatable quality assurance.

This comprehensive guide provides a detailed audit checklist for authors submitting to the AAMAS conference. It covers verifying the correct conference track, maintaining double-blind anonymity, adhering to strict formatting rules (e.g., page limits, supplementary zip caps), and identifying potential submission-blocking risks to ensure readiness before the deadline.

A comprehensive audit guide for submitting academic papers to the FAccT conference. It details critical, multi-step processes, including the mandatory abstract registration gate, maintaining mutual anonymity, adhering to strict ACM formatting rules, and including required endmatter statements (such as the Generative AI Usage Statement).

This comprehensive guide serves as a pre-flight audit checklist for major academic conference submissions, specifically targeting ICCV. It covers critical process areas, including the single-day upload requirement, strict page budget adherence, maintaining double-blind anonymity, vetting OpenReview fields, and identifying potential identity or formatting leaks. Use this to prevent desk rejection before the deadline.

A comprehensive audit checklist for ensuring final submissions to the ICML conference. It verifies compliance across critical areas including LaTeX formatting, strict page limits, double-blind anonymity, impact statements, dual submission rules, and adherence to the latest LLM and ethical policies. Essential for researchers preparing papers for top-tier AI venues.

A comprehensive guide for authors writing in computer vision, pattern recognition, or machine learning methods. This skill helps authors evaluate whether their manuscript meets the high methodological rigor, archival standards, and specific formatting requirements of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). It covers scope fit, evidence bar, structure, and pre-submission checklists.