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Summarize Microsoft Teams meetings and extract action items. Use the Hermes command line to inspect meeting processing, rerun saved jobs, troubleshoot missing summaries, and manage Microsoft Graph subscriptions that deliver meeting notifications.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing meetings and extracting action items
• Investigating missing meeting summaries
• Rerunning failed meeting jobs

Prepare Cline desktop releases for stable, beta, or nightly testing. Coordinate release notes, matching version files, tags, and a GitHub Actions workflow that builds signed installers and manages automatic update feeds for release channels.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a stable desktop release
• Publishing a beta alongside the stable app
• Creating signed nightly test installers

Generate multilingual narration from scripts in OpenMontage using Azure AI Speech. Choose a voice, adjust speaking rate, pitch, and supported delivery styles, then save individual narration segments as MP3 or WAV files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating narration for explainer videos
• Generating voiceovers in multiple languages
• Adjusting narration speed and delivery style

Transcribe audio with Azure AI Speech and obtain word timestamps, speaker labels, and language identification. Use the resulting transcript in OpenMontage subtitle workflows, with a compatible local transcription fallback when Azure is unavailable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Transcribing recorded audio
• Preparing timestamps for video subtitles
• Labeling speakers in interviews

Convert PDF, Office, and other documents into Markdown that preserves useful text structure. Use batch conversion and literature organization to prepare files for search, text analysis, or AI systems that retrieve information from documents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert PDF and Office files to Markdown
• Batch-convert a document folder
• Organize research papers with source metadata

Build and simulate quantum circuits in Python with Cirq. Compare noise effects, test parameter values, transform circuits for hardware constraints, and prepare experiments for Google Quantum AI or supported providers when the required access is available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building and simulating quantum circuits
• Comparing measurement results at different noise levels
• Testing circuits across a range of parameter values

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Implement Azure Cosmos DB data operations in JavaScript or TypeScript with @azure/cosmos. Covers creating, querying, updating, and deleting documents, plus bulk operations, container setup, and checks that prevent concurrent changes from overwriting each other.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement document creation, retrieval, updates, and deletion
• Build filtered queries with pagination
• Process multiple document operations in bulk

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

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

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

Prepare and verify application deployments to Azure Container Apps using azd and Bicep. Review environment settings, remote builds, identity permissions, and deployment changes, then check running revisions, service health, and frontend-to-backend connections.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing azure.yaml and Bicep before deployment
• Checking remote builds and image architecture
• Configuring managed identity and resource permissions

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

Create and manage persistent Azure AI agents from Java. Covers conversation threads that retain messages, agent execution, status checks, response retrieval, and cleanup, using preview SDK examples with guidance on authentication and cloud resource handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a Java app with reusable AI agents
• Managing conversation threads and messages
• Checking execution states and handling timeouts

Write Python code to manage settings in Azure App Configuration. Covers reading, updating, filtering, and locking settings, managing feature flags that switch features on or off, and creating snapshots of configuration values.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Read and update shared application settings from Python
• Separate development and production values with labels
• Manage feature flags that enable or disable features

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 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Build server-side calling workflows in Java with Azure Communication Services. Implement automated phone menus, incoming and outgoing calls, transfers, recording, spoken prompts, and recognition of speech or keypad input, with examples for handling call events.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building automated phone menus in Java
• Routing incoming calls to another number
• Adding spoken prompts and keypad or speech input

Implement Python services for Azure Cosmos DB NoSQL with guidance for authentication, data models, database operations, and tests. Separate business logic from storage access, validate data access permissions, and use reusable templates for consistent implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding Cosmos DB storage to a FastAPI application
• Separating database access from business logic
• Configuring Azure and local emulator authentication

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Build Python code for Azure Cosmos DB's NoSQL API to create, read, update, delete, and query documents. Covers authentication, containers for storing data, partition keys for distributing records, throughput settings, asynchronous operations, and error handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing document operations in Python
• Writing parameterized queries for filtered searches
• Configuring containers, partition keys, and throughput

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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