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Build Python features that identify a speaker’s intent and extract details such as names from conversation text using Azure. Get guidance on request structure, authentication, client cleanup, and exception handling.

• Adding intent detection to a Python application
• Extracting names and other details from conversation text
• Structuring requests for ConversationAnalysisClient

Helps build Python workflows that extract information from documents, images, audio, and video using Azure AI Content Understanding. Covers document text, timed transcripts, video frames, and invoice fields for search and automated processing.

• Preparing document content for AI search
• Transcribing audio with timestamps
• Extracting transcripts and key frames from video

Implement large parallel workloads in Java with Azure Batch. Manage groups of computing machines, organize jobs and tasks, inspect progress and output, adjust computing capacity, and schedule recurring jobs using SDK examples.

• Running many computing tasks in parallel
• Adjusting machine counts to match pending work
• Checking task progress, exit codes, and output

Implement .NET workflows for Azure AI Foundry projects, including agent creation, resource connections, dataset uploads, model deployment inspection, search index management, and evaluations. Examples also cover authentication, asynchronous operations, and resource cleanup.

• Creating and running agents from a .NET application
• Inspecting resource connections and model deployments
• Uploading datasets and managing search indexes

Helps build Python workflows for translating Word, PDF, Excel, PowerPoint, and other documents while preserving formatting. Covers Azure batch translation, multiple target languages, terminology glossaries, and checks for job progress and document errors.

• Translating batches of documents while preserving formatting
• Translating documents into multiple languages
• Applying a glossary for specialized terminology

Build Java applications that analyze images with Azure AI Vision. Covers image descriptions, OCR for reading text, object and person detection, content tags, and suggested crop regions, with examples for authentication and handling results.

• Adding image descriptions to a Java application
• Extracting text from document images
• Detecting objects and people with their locations

Help implement Azure OpenAI features in C# and .NET applications using SDK examples. Cover authentication, chat, document-backed answers, image generation, and audio processing, including transcription and speech generation.

• Adding streaming chat to a .NET application
• Generating JSON responses in a defined format
• Building answers backed by Azure AI Search

Implement shared authentication for Azure Communication Services in Java, including automatic renewal of access tokens, the credentials used to access services. It also guides handling identifiers for ACS users, phone numbers, and Microsoft Teams users.

• Set up authentication for Chat or Calling clients
• Renew access tokens for long-running clients
• Handle ACS, phone number, and Teams user identifiers

Develop AxonX plugins and manage quantitative finance research through the command line or MCP, an agent connection interface. Track data preparation, training, prediction, and historical strategy tests using execution status, logs, artifacts, and dependencies.

• Develop research plugins with defined inputs and outputs
• Run data preparation, training, prediction, and backtests
• Investigate failed tasks through status and logs

Create YAML test scenarios for web applications and run them in a real browser with Playwright. Use image matching and text recognition to check screens, then organize failure findings for investigation.

• Test a checkout flow in a real browser
• Check screens with image matching and text recognition
• Investigate browser test failures

Helps implement document processing in TypeScript with Azure, extracting text, tables, invoice fields, and receipt details. Covers ready-made models, custom model training, document classification, authentication, and waiting for analysis results.

• Extracting text and tables from PDFs
• Reading invoice and receipt fields
• Training models for specialized documents

Build text translation into Python applications with Azure AI Translator. Covers translation into multiple languages, language detection, transliteration to another writing system, dictionary entries, usage examples, and asynchronous requests for handling larger workloads.

• Add multilingual text translation to a Python app
• Detect the language of incoming text
• Convert text between writing systems

Implement SMS notifications, verification code delivery, and bulk messaging in Java with Azure Communication Services. Covers authentication, asynchronous sending, per-recipient results, error handling, and delivery reports received through Azure Event Grid.

• Sending verification codes by SMS
• Adding order notifications and alerts
• Sending the same message to multiple recipients

Build .NET workflows that extract text, tables, and fields from invoices, receipts, and other documents using Azure AI Document Intelligence. Covers prebuilt models, custom model creation, document classification, authentication, and result handling.

• Extract vendors, line items, and totals from invoices
• Read merchants, dates, and totals from receipts
• Extract text and table cells from documents

Follow guidance to create and operate Kubernetes clusters on Azure Kubernetes Service. Configure groups of worker machines, automatic scaling, networking, monitoring, identity integration, and upgrades, with command examples and Terraform configuration for repeatable setup.

• Create an AKS cluster on Azure
• Add GPU or spot node pools and configure automatic scaling
• Connect monitoring, Key Vault, and Azure Container Registry

Examine hidden assumptions behind decisions, business ideas, or personal beliefs. Classify each premise, rank it by fragility and impact, and rebuild the conclusion from verified evidence, with concrete questions showing what to check first.

• Examining assumptions behind a career change
• Testing the premises of a startup idea
• Questioning beliefs treated as obvious facts

Build content moderation features in Java with Azure AI Content Safety. Analyze text and images for harmful content, retrieve severity scores by category, and manage custom blocklists, which are lists of terms to flag.

• Checking submitted text for harmful content
• Analyzing images from files or URLs
• Managing custom lists of prohibited terms

Integrate harmful-content checks into Python applications using Azure AI Content Safety. Analyze text and images by category and severity, and manage custom text blocklists to help review user submissions or AI-generated content before display.

• Checking user-submitted text for harmful content
• Analyzing harmful-content categories in uploaded images
• Reviewing AI-generated text before displaying it

Build text and image checks in TypeScript with Azure AI Content Safety. The skill covers harmful content categories, severity scores, and custom text blocklists, with examples for authentication, error handling, and decisions about allowing content.

• Implement harmful text checks for user posts
• Analyze images and retrieve category severity scores
• Create and maintain custom prohibited term lists

Build Java applications that store and manage records in Azure Table Storage or Cosmos DB Table API. It guides creating tables, adding and updating records, filtering queries, and grouping changes into transactions that succeed or fail together.

• Implement product record creation, updates, and deletion
• Filter records and retrieve only the required fields
• Update records together within the same partition

Build TypeScript code for Azure AI Foundry projects using its SDK, a library for accessing project services. Create and run agents, inspect connections and deployed models, and manage datasets and search indexes.

• Creating and running agents in TypeScript
• Adding file search or external tools to agents
• Inspecting project connections and deployed models

Support product planning for Auri, a voice assistant combining Alexa and Claude. Covers product vision, the Vitoria Neural persona, AWS architecture, service tiers, a four-phase roadmap, market launch planning, success metrics, and competitive analysis.

• Reviewing Auri product requirements
• Organizing service tiers and the development roadmap
• Considering market launch plans and competitors

Understand a codebase before searching for bugs or vulnerabilities. This skill examines functions line by line, documents assumptions and state changes, and traces calls across modules to build an evidence-based picture of system behavior.

• Understanding a codebase before a security audit
• Tracing data and state changes across function calls
• Documenting assumptions for an architecture review

Turn audio or video recordings into Markdown documents with transcripts and summaries. Use it for meeting notes, speaker identification, subtitle files, or batch transcription when several recordings need to become readable documentation.

• Create meeting notes from recordings
• Summarize long lectures or talks
• Identify speakers in recorded conversations