Skill UI

A comprehensive SDK for the Azure AI Document Intelligence service, designed for .NET developers. This tool allows you to programmatically extract text, structured data, and tables from various document types, including invoices, receipts, ID cards, and general documents. It supports both powerful prebuilt models and custom model training.

A comprehensive SDK for the Azure AI Document Intelligence service, designed for .NET developers. This tool allows you to programmatically extract text, structured data, and tables from various document types, including invoices, receipts, ID cards, and general documents. It supports both powerful prebuilt models and custom model training.

A comprehensive TypeScript client for the Azure Document Intelligence REST API. This SDK allows developers to programmatically extract structured data, text, and tables from various document types, including PDFs and images. It supports using prebuilt models (like invoices, receipts, and IDs) and building custom models for specialized document processing workflows.

A comprehensive TypeScript client for the Azure Document Intelligence REST API. This SDK allows developers to programmatically extract structured data, text, and tables from various document types, including PDFs and images. It supports using prebuilt models (like invoices, receipts, and IDs) and building custom models for specialized document processing workflows.

This SDK enables developers to build robust document analysis applications using Azure AI Document Intelligence. It provides powerful capabilities to extract structured data from diverse document types, including receipts, invoices, ID cards, and general forms. Developers can analyze documents from local files or URLs to extract key-value pairs, tables, and specific fields automatically.

This SDK enables developers to build robust document analysis applications using Azure AI Document Intelligence. It provides powerful capabilities to extract structured data from diverse document types, including receipts, invoices, ID cards, and general forms. Developers can analyze documents from local files or URLs to extract key-value pairs, tables, and specific fields automatically.

This skill leverages artificial intelligence to automate the creation of professional PowerPoint presentations. It performs deep document analysis to extract key insights, structure the narrative, and incorporate styled, relevant images, transforming source documents into polished, ready-to-use visual presentations efficiently.

This skill provides a comprehensive workflow for integrating TwinMind meeting transcription services into continuous integration/continuous deployment (CI/CD) pipelines. It automates the processes of meeting documentation, real-time transcription (using Ear-3), and structured action item extraction using advanced AI models like GPT-4 and Claude. Use this when setting up automated meeting intelligence operations or managing enterprise-level transcription workflows via API.

Develops comprehensive profiles for Advanced Persistent Threat (APT) groups, criminal organizations, and hacktivist collectivities. This tool aggregates TTP documentation, campaign data, and attribution indicators from major intelligence sources (MITRE ATT&CK, Mandiant, CrowdStrike) to help organizations update threat models, prioritize defensive controls, and prepare executive briefings on sector-specific risks.

This tool functions as an expert competitive intelligence analyst. It takes a list of competitor URLs and generates comprehensive, structured profile documents. It combines live site scraping (e.g., features, pricing, value prop), SEO metrics, and third-party review data (G2, Capterra) to provide deep, actionable insights. Ideal for market research, product comparison, and strategic competitive planning.

A comprehensive intelligence tool designed for clinical researchers to navigate the complex NIH grant landscape. It utilizes a detailed 6-step intake process (covering research idea, career stage, and data status) to perform a multi-faceted positioning analysis. The system maps research to appropriate NIH institutes using RePORTER data and generates an editable Word document containing actionable mechanism recommendations, submission timelines, and strategic guidance for funding applications.

This meta-skill orchestrates a comprehensive workflow for analyzing PDF documents. It handles complex tasks such as summarizing, cross-document comparison, and targeted Q&A. It ensures findings are traceable by indexing evidence from various sources (full PDFs, pasted excerpts, etc.) and synthesizing structured insights across multiple files.