Nick

Helps implement centralized settings management in Java with Azure App Configuration. Covers environment-specific settings, feature flags that control feature availability, and snapshots that preserve settings at a particular point in time.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Manage settings separately for development and production
• Configure feature flags for gradual rollouts
• Preserve release settings in snapshots

Helps build AI agents in .NET with persistent conversation threads. Covers messages, execution status, streaming responses, document search, and custom function calls using Azure.AI.Agents.Persistent, with examples for creating agents and cleaning up resources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an AI assistant that retains conversation threads
• Answer questions using uploaded documents
• Connect an agent to custom functions

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Maintain legacy Java code that uses the deprecated Azure Communication CallingServer SDK. Compare old and replacement dependencies, client classes, and recording examples to plan a migration to Call Automation and identify APIs needing verification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Maintain legacy Java CallingServer code
• Compare dependencies and client class names
• Review existing call recording code

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Build chat features in Java with Azure Communication Services. The skill guides conversation thread creation, message sending and editing, participant management, read receipts, and typing notifications, with examples for authentication, pagination, and error handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding chat features to a Java application
• Managing participants and shared message history
• Implementing read receipts and typing notifications

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Build Java applications that extract text, tables, and fields from documents using Azure AI Document Intelligence. Covers ready-made models for invoices and receipts, custom model creation, document classification, authentication, and error handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract text and tables from PDFs
• Read invoice and receipt fields
• Build models for custom document formats

Manage Azure Machine Learning resources from Python with SDK v2. The skill provides implementation examples for registering data and models, configuring compute and environments, submitting training jobs, monitoring logs, and connecting steps into pipelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Submitting training jobs and monitoring logs
• Registering data and model versions
• Connecting preprocessing and training steps

Build Python image analysis with Azure AI Vision to generate captions and tags, locate objects and people, and extract text using OCR, or optical character recognition. It also provides suggested crop regions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate image captions and content tags
• Extract text from images
• Locate objects and people in photos

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Build Java applications that detect unusual patterns in time-series data with Azure AI Anomaly Detector. Covers single measurements, related signals, trend changes, model training, and checking detection results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Detect unusual values in a single time series
• Check the latest incoming measurement for anomalies
• Find changes in time-series trends

Build Python AI applications on Microsoft Foundry with azure-ai-projects. Provides examples for creating agents, connecting tools, managing conversations and project resources, and running evaluations through Foundry and OpenAI-compatible clients.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an agent that searches uploaded documents
• Implement conversation threads and response handling
• List model deployments and project connections

Manage container images in Azure Container Registry using Python. Inspect repositories, tags, and image metadata, protect images from deletion, download image data, and identify older untagged images for cleanup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspect image tags and metadata
• Protect production images from deletion
• Clean up older untagged images

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Review AI skills and bundles without running their code. Checks for data leaks, suspicious permissions, hidden code, and system changes across desktop and mobile platforms, then reports flagged actions, risk scores, and suggested mitigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review an AI skill before installing it
• Check a skill bundle for data leaks and suspicious actions
• Inspect Android and iOS threats in skill files

Turn detected departures from project requirements into concrete prevention rules. This companion to atlas-contract proposes conditions, prohibited actions, and alternatives, then merges approved entries into Atlas.md for use in future task agreements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording a detected requirements deviation
• Turning review findings into prevention rules
• Merging recurring mistakes into existing rules

Design a business change log that records who changed what, when, and why. Get a focused recommendation first, then request empty templates in CSV, SQL table definitions, JSON Schema, or a Notion property mapping.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a record of expense approvals
• Moving spreadsheet change logs into a structured register
• Preparing log fields for an audit review