Build Java applications that exchange live audio with AI assistants using Azure AI VoiceLive. The skill covers authentication, streaming sessions, speech detection, voice selection, transcription, and handling responses over WebSocket, a persistent two-way connection.
中文简介正在准备中。当前显示英语简介。
- Implementing a real-time voice assistant in Java
- Configuring speech detection and interruptions
- Adding transcription and noise reduction
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Generate image captions and content tags
- Extract text from images
- Locate objects and people in photos
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
Implement Azure Cosmos DB document operations in Rust using its NoSQL SDK. The skill covers authentication, database and container clients, creating and reading records, replacing or patching fields, and deleting items with partition keys.
中文简介正在准备中。当前显示英语简介。
- Connecting a Rust application to Azure Cosmos DB
- Creating and reading documents
- Replacing documents or patching selected fields
sickn33/agentic-awesome-skills☆ 4.8万2026年10月8日 更新
Implement Java workflows for Azure AI Foundry projects using SDK examples for authentication, connected resources, datasets, search indexes, and model evaluations. The skill also covers client setup, paginated resource lists, and error handling.
中文简介正在准备中。当前显示英语简介。
- List connected Azure resources
- Create or update search indexes
- Implement access to model evaluations
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Examining assumptions behind a career change
- Testing the premises of a startup idea
- Questioning beliefs treated as obvious facts
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Add multilingual text translation to a Python app
- Detect the language of incoming text
- Convert text between writing systems
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Checking user-submitted text for harmful content
- Analyzing harmful-content categories in uploaded images
- Reviewing AI-generated text before displaying it
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Adding image descriptions to a Java application
- Extracting text from document images
- Detecting objects and people with their locations
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
Build Python text analysis with Azure AI Language to detect sentiment, names, key phrases, languages, and personal information. Examples also cover healthcare terminology extraction, combined analyses, authentication, and handling results for multiple documents.
中文简介正在准备中。当前显示英语简介。
- Analyzing sentiment about specific aspects of a review
- Detecting and redacting personal information
- Extracting names and key phrases from text
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Reviewing azure.yaml and Bicep before deployment
- Checking remote builds and image architecture
- Configuring managed identity and resource permissions
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Running many computing tasks in parallel
- Adjusting machine counts to match pending work
- Checking task progress, exit codes, and output
sickn33/agentic-awesome-skills☆ 4.8万2026年10月15日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Creating and running agents from a .NET application
- Inspecting resource connections and model deployments
- Uploading datasets and managing search indexes
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Submitting training jobs and monitoring logs
- Registering data and model versions
- Connecting preprocessing and training steps
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Manage settings separately for development and production
- Configure feature flags for gradual rollouts
- Preserve release settings in snapshots
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Implement document creation, retrieval, updates, and deletion
- Build filtered queries with pagination
- Process multiple document operations in bulk
sickn33/agentic-awesome-skills☆ 4.8万2026年10月8日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Inspect image tags and metadata
- Protect production images from deletion
- Clean up older untagged images
sickn33/agentic-awesome-skills☆ 4.8万2026年10月15日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Build an AI assistant that retains conversation threads
- Answer questions using uploaded documents
- Connect an agent to custom functions
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
Store database credentials and API keys in AWS Secrets Manager, configure automatic credential changes, and connect applications to stored secrets. Follow examples for access policies, Lambda rotation functions, and integration with ECS and EKS.
中文简介正在准备中。当前显示英语简介。
- Move hardcoded credentials into AWS Secrets Manager
- Configure automatic database credential rotation
- Provide stored secrets to ECS and EKS workloads
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
Use Python to analyze astronomical data, convert celestial coordinates, units, and times, and read or write FITS astronomy files. It also guides catalog matching and calculations of cosmic distances and ages using cosmological models.
中文简介正在准备中。当前显示英语简介。
- Converting celestial coordinates for an observing location
- Reading FITS images and inspecting their headers
- Matching objects across astronomical catalogs
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
Deploy and operate AI agents with AWS Bedrock AgentCore. Choose services for hosting agents, connecting external APIs, managing credentials and conversation state, monitoring activity, and assessing agent quality through automated evaluations.
中文简介正在准备中。当前显示英语简介。
- Plan an agent deployment on AgentCore
- Expose a REST API as an agent tool through MCP
- Configure credentials and access controls
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
Configure and audit AWS users, roles, and access policies. Work through least-privilege permissions, granting only the access needed, along with GitHub Actions authentication, cross-account access, permission boundaries, and checks for unused or excessive access.
中文简介正在准备中。当前显示英语简介。
- Create execution roles for EC2 and Lambda
- Design policies with only the required permissions
- Configure GitHub Actions authentication through OIDC
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
Review and rewrite prose that feels repetitive, vague, or formulaic while preserving its meaning, evidence, and voice. Get quoted examples of problems, a revised draft, an explanation of edits, and a second review.
中文简介正在准备中。当前显示英语简介。
- Polishing an AI-assisted blog draft
- Reviewing documentation for vague wording
- Editing repetitive marketing copy
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
Structure Avalonia applications with ReactiveUI and Zafiro patterns for ViewModels, the objects that manage screen state and logic. Build multi-step wizards, organize navigation, report command progress, and connect screen layouts to their supporting logic.
中文简介正在准备中。当前显示英语简介。
- Design ViewModels for screen state and logic
- Build multi-step setup wizards
- Organize navigation and discover UI sections
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新
Configure MCP connections, which link AI agents to tools, for AWS documentation search and API access. Check existing settings, choose between documentation-only and full API access, verify available tools, and troubleshoot connection or credential problems.
中文简介正在准备中。当前显示英语简介。
- Set up AWS documentation search for an AI agent
- Configure an MCP connection for AWS API access
- Check existing AWS MCP settings
sickn33/agentic-awesome-skills☆ 4.8万2026年10月21日 更新