Content Management Bundle
This bundle of skills helps manage, moderate, and store digital content and applications.
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Included Skills (200)
- Azure Blob Storage — This skill enables Java developers to efficiently build and manage cloud-based blob storage applications using the official Azure Storage Blob SDK.
- Azure Blob Manager — This tool enables Java developers to efficiently manage Azure Blob Storage containers and files by providing streamlined SDK integration for cloud-based data operations.
- Azure Table Storage — This skill enables Java developers to efficiently integrate and manage NoSQL key-value data using the Azure Tables SDK for cloud-scale applications.
- Azure Queue Integration — This skill enables Rust developers to efficiently send, receive, and manage messages within Azure Queue Storage using official SDK libraries.
- Azure Queue Manager — This tool enables developers to efficiently manage Azure Queue Storage operations, including sending, receiving, peeking, and deleting messages within cloud-based queues.
- Azure Blob Storage — This library enables Rust developers to efficiently manage, upload, and download Azure Blob Storage containers and blobs using official SDK crates.
- Azure Blob Manager — This tool enables Python developers to efficiently manage Azure Blob Storage containers and blobs through streamlined authentication and cloud object operations.
- Azure Queue Integration — This skill enables Rust developers to efficiently manage, send, and receive messages within Azure Queue Storage using the official Azure SDK.
- Azure AI Orchestrator — This SDK enables Java developers to efficiently manage Azure AI Foundry projects, including datasets, model deployments, search indexes, and automated AI evaluations.
- Azure Content Moderator — This tool enables Java developers to integrate Azure AI Content Safety services for robust, automated text and image moderation within their applications.
- Azure Batch Orchestrator — This Java SDK enables developers to efficiently manage and execute large-scale parallel high-performance computing jobs across Azure cloud infrastructure compute nodes.
- Azure Agent SDK — This Java SDK enables developers to build and manage persistent AI agents, including threads, messages, and tool execution for Azure applications.
- Azure AI Projects — This tool enables developers to build and manage AI applications by integrating Azure AI Foundry agents, deployments, and evaluations using TypeScript.
- Azure File Management — This tool enables developers to programmatically manage SMB file shares, directories, and cloud storage operations using the Azure Storage SDK for Python.
- Azure File Manager — This tool enables developers to programmatically manage Azure SMB file shares, directories, and cloud storage operations using the Python SDK.
- Azure Content Safety — This tool enables Java developers to integrate Azure AI Content Safety for robust text and image moderation, harm detection, and custom blocklist management.
- Azure Batch Java — This Java SDK enables developers to orchestrate and manage large-scale parallel and high-performance computing batch jobs on the Azure cloud platform.
- Azure App Configuration — This Java SDK enables developers to centrally manage application settings, feature flags, and snapshots within the Azure App Configuration cloud service.
- Azure AI Project Manager — This SDK enables .NET developers to efficiently manage Azure AI Foundry resources, including agents, deployments, datasets, and evaluations within their AI applications.
- Azure Queue Manager — This tool enables Python developers to implement reliable message queuing and asynchronous task distribution using the Azure Queue Storage service efficiently.
- Azure AI Orchestrator — This SDK enables developers to build, manage, and evaluate AI agents and deployments within Azure AI Foundry projects using TypeScript.
- Azure AI Manager — This Java SDK simplifies Azure AI Foundry project management, enabling developers to efficiently configure connections, datasets, indexes, and evaluations for AI applications.
- Azure Voice SDK — This SDK enables .NET developers to build real-time, bidirectional voice AI applications and conversational assistants using Azure's advanced speech-to-speech cloud services.
- Azure Event Hubs — This tool enables Java developers to implement high-throughput event streaming and build scalable, event-driven architectures using the official Azure Event Hubs SDK.
- Azure Agent Orchestrator — This .NET SDK enables developers to build and manage persistent AI agents, conversation threads, and tool-integrated workflows within Azure AI projects.
- Azure VoiceLive SDK — This SDK enables Java developers to integrate real-time, bidirectional voice communication with AI assistants into their applications using WebSocket technology.
- Azure Table Integrator — This tool assists Java developers in building scalable table storage applications compatible with both Azure Table Storage and Cosmos DB Table API.
- Azure AI Projects Py — Build AI applications on Microsoft Foundry using the azure-ai-projects SDK.
- Azure AI Orchestrator — This SDK enables .NET developers to manage Azure AI Foundry projects, including agents, deployments, and datasets, through a unified client interface.
- Azure VoiceLive SDK — This Java SDK enables developers to integrate real-time, bidirectional voice communication capabilities into applications using Azure AI and WebSocket technology.
- Content Safety Moderator — This tool enables developers to detect and filter harmful text or image content within applications using Azure AI's multi-severity classification capabilities.
- Azure Vision Analyzer — This tool enables Java developers to integrate Azure AI Vision capabilities like OCR, object detection, and image captioning into their applications seamlessly.
- Azure EventGrid Integration — Develop event-driven Java applications by leveraging the Azure Event Grid SDK to publish events and implement robust pub/sub messaging patterns efficiently.
- Azure AI Foundry — This skill assists developers in building and managing AI applications on Microsoft Foundry using the Azure AI Projects Python SDK for seamless integration.
- Azure Voice SDK — This SDK enables developers to build real-time, bidirectional voice AI applications and conversational assistants using Azure services in JavaScript and TypeScript environments.
- Content Safety Moderator — This tool enables developers to integrate Azure AI Content Safety for detecting and filtering harmful text and images within their applications.
- Azure Anomaly Detector — This tool enables Java developers to integrate Azure AI Anomaly Detector for robust time-series analysis and automated anomaly detection in their applications.
- Azure Content Moderator — This tool enables developers to integrate Azure AI Content Safety to detect harmful text and images, ensuring safe user-generated content across applications.
- Azure Chat Integration — This tool enables Java developers to implement real-time chat features, including thread management and messaging, using the Azure Communication Services SDK.
- Content Safety Analyzer — This tool enables developers to integrate Azure AI Content Safety into TypeScript applications to detect and filter harmful text and image content.
- Azure Voice SDK — This SDK enables .NET developers to build real-time, bidirectional voice AI applications using Azure's advanced speech and language processing services.
- Azure Event Hubs — This tool assists Java developers in building high-throughput, event-driven streaming applications by providing seamless integration with the Azure Event Hubs SDK.
- Azure Vision Analyzer — This tool enables Java developers to integrate Azure AI Vision capabilities like OCR, object detection, and image captioning into their software applications.
- Azure Voice SDK — This SDK enables developers to build real-time, bidirectional voice AI applications using Azure services within Node.js and modern web browser environments.
- Azure Document Intelligence — This tool enables Java developers to integrate advanced document analysis and data extraction capabilities into their applications using Azure AI services.
- Azure Anomaly Detector — This tool enables Java developers to implement univariate and multivariate anomaly detection for time-series data using the Azure AI SDK.
- Arize AI Manager — This .NET SDK enables developers to seamlessly manage Arize AI observability resources and organizations directly within their Azure cloud infrastructure environments.
- Azure Secret Manager — This tool enables Java developers to securely store, retrieve, and manage sensitive credentials like API keys and passwords using Azure Key Vault.
- Azure Key Management — This tool enables Java developers to securely create, manage, and perform cryptographic operations using Azure Key Vault and Managed HSM services.
- Azure APIM Manager — This Python SDK enables developers to programmatically manage Azure API Management services, including APIs, products, subscriptions, and security policies efficiently.
- Azure Content Understanding — This SDK enables developers to perform multimodal analysis on documents, images, audio, and video for automated workflows and RAG applications.
- Azure Bot Manager — This tool enables developers to programmatically create, configure, and manage Azure Bot Service resources using the Python management SDK for cloud infrastructure.
- Azure Chat Integration — This tool enables Java developers to implement real-time messaging features, including thread management and participant tracking, within Azure Communication Services applications.
- Azure Fabric Manager — This tool enables developers to programmatically manage Microsoft Fabric capacities and cloud resources using the official Python SDK for automated infrastructure operations.
- Azure Storage — The Azure Storage skill teaches developers and architects how to use Azure’s object, file, queue, table, and data lake services, including hot, cool, cold, and archive access tiers. It guides users through uploading, downloading, and lifecycle policy management while comparing tier performance and cost. This enables professionals to design and optimize scalable, cost‑effective storage solutions in Azure.
- Azure Secret Manager — This tool enables Java developers to securely store, retrieve, and manage sensitive configuration data like API keys and passwords using Azure Key Vault.
- Azure Key Management — This skill enables Java developers to securely manage cryptographic keys and perform encryption, decryption, and signing operations within Azure Key Vault.
- Azure API Management — This Python SDK enables developers to programmatically manage Azure API Management services, including APIs, products, subscriptions, and security policies efficiently.
- Azure Storage Blob Rust — Azure Blob Storage SDK for Rust. Use for uploading, downloading, and managing blobs and containers.
- Legacy CallingServer Support — This tool assists developers in maintaining and updating legacy Java applications that utilize the deprecated Azure Communication Services CallingServer SDK.
- Document Intelligence Assistant — This skill enables Java developers to extract structured data from documents, invoices, and IDs using the latest Azure AI Document Intelligence SDK.
- Azure Monitor Ingestion — This tool enables Java developers to efficiently send custom logs to Azure Monitor using Data Collection Rules and Data Collection Endpoints.
- Azure Weights Biases — This SDK enables developers to deploy and manage Weights & Biases machine learning experiment tracking instances directly within the Azure cloud ecosystem.
- Google Cloud Storage Fuse — Mounts Cloud Storage buckets on Google Cloud as a POSIX file system with Cloud Storage FUSE (gcsfuse). Use when interacting with gcsfuse or Cloud Storage FUSE mounts: decide whether FUSE, native gs:// reads, or Filestore/Managed Lustre fits a workload, deploy tuned mounts on GKE, Compute Engine, or Cloud Run, enable and size file, stat, and list caches, tune mount flags (--implicit-dirs) or config files, apply workload profiles, keep ML checkpointing safe (rename atomicity, hierarchical namespace/HNS, close-time finalization, concurrent writers), or diagnose slow training, low throughput, or bill spikes with gcsfuse metrics. Covers mount semantics, gcsfuse CLI and configs, GKE gcsfuse CSI driver (Workload Identity principal:// bindings, profile StorageClasses, sidecar sizing), and Cloud Run volume mounts. Don't use for bucket administration without a mount (google-cloud-storage-basics) or POSIX shared file systems (Filestore, Managed Lustre; use gke-storage).
- Azure Monitor Query — This legacy Java library enables developers to execute Kusto queries against Log Analytics workspaces and retrieve metrics from various Azure cloud resources.
- Azure Queue Manager — This tool provides Python developers with a streamlined interface for implementing reliable message queuing and asynchronous task distribution using Azure Queue Storage.
- Azure Agent Orchestrator — This SDK enables .NET developers to build and manage persistent AI agents, streamlining thread, message, and tool execution within Azure environments.
- Azure Blob Storage — Store and manage unstructured data with Azure Blob Storage. Create containers,
upload and organize blobs, configure access tiers (Hot, Cool, Archive) for cost
optimization, generate SAS tokens for secure temporary access, and set lifecycle
management policies.
- Azure Configuration Manager — This Java SDK enables developers to centralize application settings, feature flags, and snapshots using the managed Azure App Configuration service.
- Azure WeightsBiases Manager — This SDK enables developers to programmatically deploy and manage Weights & Biases machine learning experiment tracking instances directly within Azure cloud environments.
- Azure MySQL Manager — This .NET SDK enables developers to programmatically manage, configure, and monitor Azure MySQL Flexible Server deployments within their cloud infrastructure workflows.
- Azure Data Lake Manager — This tool enables developers to perform hierarchical file system operations and manage big data analytics workloads within Azure Data Lake Storage Gen2.
- Azure Arize Management — This .NET SDK enables developers to programmatically manage and configure Arize AI Observability and Evaluation resources within their Azure cloud infrastructure.
- Azure Monitor Ingestion — This Java library enables developers to efficiently send custom logs to Azure Monitor using Data Collection Rules and Data Collection Endpoints.
- Azure Blob Storage — This tool provides Python developers with a streamlined interface for managing Azure Blob Storage containers, blobs, and lifecycle operations using secure authentication.
- Azure Functions — Build serverless applications with Azure Functions. Create HTTP and event-driven
functions with input/output bindings, configure triggers for queues, timers,
and blob storage. Use Durable Functions for stateful orchestration workflows.
- Azure Voice AI — This skill empowers developers to build real-time, bidirectional voice AI applications and interactive assistants using the Azure AI Voice Live Python SDK.
- Azure WebPubSub Java — This tool enables Java developers to implement real-time WebSocket messaging, live updates, and server-to-client push notifications using the Azure Web PubSub service.
- Azure Search Integrator — This tool enables developers to implement advanced vector, hybrid, and semantic search capabilities within TypeScript applications using the Azure AI Search SDK.
- Azure Search Integrator — This tool enables developers to implement advanced vector, hybrid, and semantic search capabilities within TypeScript applications using the Azure AI Search SDK.
- Azure WebPubSub Integrator — This skill enables Java developers to implement real-time WebSocket messaging and server-to-client push notifications using the Azure Web PubSub service.
- Azure Communication Utilities — This library provides essential authentication and user identification utilities for Java developers integrating Azure Communication Services into their cloud-based applications.
- Cosmos DB Manager — Manage Azure Cosmos DB resources, enabling developers to build globally distributed, multi-model database applications efficiently.
- Azure EventGrid Integration — This tool assists Java developers in building event-driven architectures by simplifying the implementation of Azure Event Grid publishing and cloud event patterns.
- Azure AI Agent Builder — This skill empowers developers to build and manage persistent AI agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
- Gke Storage Troubleshooting — Diagnoses GKE persistent-storage failures — volume attach/mount errors (Regional PD on optimized VMs, fsGroup mount timeouts), disk-performance and node storage-pressure issues, slow-disk Pod-creation failures, volume-expansion problems, Local SSD / Hyperdisk Storage Pool creation errors, and Cloud Storage FUSE OOM. Use when Pods are stuck in ContainerCreating, volumes fail to attach or mount, or nodes report storage pressure. Don't use for routine storage provisioning or StorageClass/PVC authoring (see the gke-storage skill).
- Azure API Management — This SDK enables developers to programmatically manage API inventory, metadata, and governance policies within Azure API Center for streamlined organizational oversight.
- Azure Playwright Manager — This .NET SDK enables developers to programmatically provision and manage Microsoft Playwright Testing workspaces and resource quotas directly through Azure Resource Manager.
- Azure Communication Callautomation Java — Build call automation workflows with Azure Communication Services Call Automation Java SDK. Use when implementing IVR systems, call routing, call recording, DTMF recognition, text-to-speech, or AI-powered call flows.
- Azure Eventgrid Integration — This tool enables developers to implement event-driven architectures by publishing events and managing CloudEvents within Python applications using the Azure Event Grid SDK.
- Azure APIM Manager — This .NET SDK enables developers to programmatically provision and manage Azure API Management resources and configurations through the Azure Resource Manager control plane.
- Gke Storage — Manages GKE storage, including PVCs, PersistentVolumes, and Filestore. Use when configuring GKE storage or creating PVCs. For GCS FUSE mounts, use google-cloud-storage-fuse. For diagnosing storage failures (volume attach/mount errors, disk performance/node storage pressure, or Cloud Storage FUSE OOM), use gke-storage-troubleshooting. Don't use for database administration or replication strategies outside volume provisioning context.
- Azure Redis Manager — This .NET SDK enables developers to programmatically provision, configure, and manage Azure Cache for Redis resources through the Azure Resource Manager.
- Azure Table Storage — This tool enables developers to manage NoSQL key-value data and perform entity operations within Azure Storage Tables or Cosmos DB Table API.
- Azure Secret Manager — This tool enables developers to securely store, retrieve, and manage sensitive application configuration values using the Azure Key Vault SDK for TypeScript.
- Azure ServiceBus Integration — This SDK enables .NET developers to implement reliable enterprise messaging solutions using queues, topics, and subscriptions for robust, scalable cloud-based application communication.
- Azure Playwright Manager — This .NET SDK enables developers to programmatically provision and manage Microsoft Playwright Testing workspaces using Azure Resource Manager infrastructure.
- Cosmos DB Management — This SDK enables .NET developers to programmatically provision and manage Azure Cosmos DB infrastructure, including accounts, containers, throughput, and RBAC security settings.
- Azure Bot Manager — This SDK enables developers to programmatically create, configure, and manage Azure Bot Service resources and channels using Python-based automation scripts.
- Azure Secret Manager — This tool enables developers to securely store, retrieve, and manage application configuration secrets using the Azure Key Vault SDK for TypeScript.
- Azure SQL Manager — This .NET SDK enables developers to programmatically provision and manage Azure SQL infrastructure, including servers, databases, and firewall rules via Azure Resource Manager.
- Azure Container Registry — This tool enables Python developers to efficiently manage container images, artifacts, and repositories within Azure Container Registry using secure authentication practices.
- Azure Certificate Manager — This Rust SDK enables developers to securely create, import, and manage digital certificates within Azure Key Vault for robust application security.
- Legacy Azure Calling SDK — Helps developers maintain deprecated Azure Communication Java code.
- Azure Registry Manager — This tool streamlines Azure Container Registry operations, helping developers efficiently manage images, authentication, and cloud builds directly through the Azure CLI interface.
- Copilot Integration SDK — This SDK enables developers to build custom applications by programmatically interacting with GitHub Copilot through session management, streaming, and multi-language tool support.
- Azure Search Assistant — This tool enables developers to implement vector, hybrid, and semantic search capabilities within Python applications using the official Azure AI Search SDK.
- Cloud Monitoring Notification Channels Configuration — The skill generates Terraform HCL for Cloud Monitoring notification channels and integrates them into alerting policies within Google Cloud projects. It supports email, SMS, Slack, PagerDuty, Pub/Sub, and webhook channels, ensuring Pub/Sub topic compatibility, message storage policies, and proper permissions for the Cloud Monitoring Service Agent. This enables infrastructure teams to automate notification channel creation and attachment to existing alert policies efficiently.
- Azure DurableTask Manager — This SDK enables .NET developers to programmatically provision and manage Azure Durable Task Scheduler resources, task hubs, and retention policies via Azure Resource Manager.
- Azure API Governance — This .NET SDK enables developers to centralize API inventory management, governance, and discovery across organizational services, workspaces, and API versions efficiently.
- Fabric Capacity Manager — This .NET SDK enables developers to programmatically provision, scale, and manage Microsoft Fabric compute resources through the Azure Resource Manager management plane.
- Application Insights Manager — This skill enables developers to programmatically manage Azure Application Insights resources, including components, web tests, and analytics, using the .NET management SDK.
- Azure Monitor Query — This legacy Java SDK assists developers in querying Azure Monitor logs and metrics, though migration to newer specialized packages is strongly recommended.
- Azure Data Lake — This skill provides Python developers with tools to manage hierarchical file systems and big data analytics workloads using Azure Data Lake Storage Gen2.
- Fabric Capacity Manager — This .NET SDK enables developers to programmatically provision and manage Microsoft Fabric compute capacities within Azure Resource Manager environments.
- Azure DurableTask Manager — This SDK enables .NET developers to programmatically provision and manage Azure Durable Task Scheduler resources using the Azure Resource Manager control plane.
- Azure Configuration Manager — This tool enables Python developers to implement centralized configuration management, feature flags, and dynamic settings within their Azure-hosted cloud applications.
- Azure Bot Manager — This .NET SDK enables developers to programmatically provision and manage Azure Bot Service resources, channels, and connection settings via Azure Resource Manager.
- Azure API Manager — This .NET SDK enables developers to centrally manage, govern, and discover organizational API inventories through the Azure API Center service.
- Azure Configuration Manager — This tool enables developers to implement centralized configuration management and feature flags within Python applications using the official Azure App Configuration SDK.
- Azure Search Integrator — This tool enables developers to implement vector, hybrid, and semantic search capabilities within Python applications using the Azure AI Search SDK.
- Azure Translation Service — This tool provides developers with real-time text translation, transliteration, and language detection capabilities using the Azure AI Translator SDK for Python applications.
- Google Cloud Storage Bucket Architect — Creates Cloud Storage on Google Cloud (also known colloquially as GCS) buckets. Analyzes the workload (sensitive data, media hosting, ingestion, web hosting, archiving, backup, logging, analytics, AI/ML, or general-purpose), validates project-level security settings, and designs a secure-by-default, cost-effective configuration (location, storage class, uniform bucket-level access, public access prevention, soft delete, lifecycle) before creating it. Use whenever a user wants to create, make, set up, provision, or spin up a bucket, or needs object storage for an app, service, pipeline, or dataset — even a "simple" or "default" bucket, or when bucket creation is one step in a larger workflow. Outputs or executes the creation via gcloud, the JSON/REST API, Terraform, or SDK client libraries (C++, Java, Python, Go). Don't use for anything other than creating new buckets — for uploads, downloads, access changes, or reconfiguring existing buckets, use google-cloud-storage-basics.
- Azure Messaging Assistant — This tool helps developers implement enterprise-grade messaging patterns like queues and topics using the Azure Service Bus SDK for TypeScript applications.
- Azure Search SDK — Builds search applications with full-text, vector, and semantic search for .NET developers.
- Azure Messaging Assistant — This tool assists Python developers in implementing reliable enterprise messaging patterns using Azure Service Bus queues, topics, and subscriptions for cloud applications.
- Azure AI Translation Text Py — Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.
- Openai SDK — Integrate OpenAI APIs into applications. Use when a user asks to add GPT or ChatGPT to an app, generate text with OpenAI, build a chatbot, use GPT-4 or o1 models, generate embeddings, use function calling, stream chat completions, build AI features, moderate content, generate images with DALL-E, transcribe audio with Whisper API, or integrate any OpenAI model. Covers Chat Completions, Assistants API, function calling, embeddings, streaming, vision, DALL-E, Whisper, and moderation.
- AWS SQS Manager — This tool enables developers to efficiently manage Amazon SQS queues, handle message processing, and implement robust, decoupled event-driven architectures within cloud environments.
- Google Cloud Solution Agentic AI Borderless Data Lakehouse — Discovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage, AWS S3, Azure Blob), establishing ingestion and AI serving subsystems, configuring Cross-Cloud Interconnect, or deploying Gemini Enterprise Agent Platform and BigQuery data agents. Don't use for single-cloud data warehouses, or when the focus is on Knowledge Catalog metadata governance and Spark-driven IDE analytics workflows (use google-cloud-solution-agentic-analytics-spark-knowledge-catalog instead).
- Azure Storage Auditor — This tool audits Azure storage accounts for security misconfigurations and generates risk-scored reports to help cloud security professionals identify potential data exposure.
- Azure Identity Java — Azure Identity library for Java authentication with Azure services. Use when implementing DefaultAzureCredential, managed identity, service principal, or any Azure authentication pattern in Java applications.
- Nemo Fabric Build Adapter — The Nemo Fabric Build Adapter constructs, migrates, reviews, and maintains third‑party NVIDIA NeMo Fabric adapters in compliance with the public adapter contract. It maps AgentConfig into an agent harness or custom‑agent runtime, implements start/invoke/stop, declares schemas and capabilities, packages discovery metadata, and assesses adapter conformance. This skill is essential for developers building or integrating NeMo Fabric adapters, but not for consumer applications that merely call the NVIDIA NeMo Fabric SDK.
- Azure Playwright Scaler — This tool enables developers to execute Playwright tests at scale using cloud-hosted browsers and integrated reporting within Azure Playwright Workspaces.
- Azure Reliability — Azure Reliability evaluates PaaS applications for zone redundancy, ZRS storage, health probes, and multi‑region failover, producing a concise checklist of required features. It orchestrates staged remediation through CLI or IaC patches, prompting user confirmation at each step. Cloud architects and operations teams use the tool to strengthen high‑availability and disaster‑recovery postures.
- Azure MongoDB Atlas Manager — This tool enables developers to manage MongoDB Atlas organizations as Azure ARM resources, streamlining integration and billing processes within the Azure ecosystem.
- Azure Redis Manager — This skill provides .NET developers with the Azure Resource Manager SDK to programmatically provision, configure, and manage Azure Cache for Redis infrastructure resources.
- Azure Table Storage — This skill assists developers in implementing NoSQL key-value storage solutions using the Azure Tables SDK for Python for efficient entity management.
- Azure Monitor Instrumenter — This tool helps Node.js developers implement distributed tracing, metrics, and logs by auto-instrumenting applications with the Azure Monitor OpenTelemetry SDK.
- Azure Key Vault — This skill provides Python developers with secure methods to manage secrets, cryptographic keys, and certificates using the official Azure Key Vault SDK.
- Azure Language Conversationalist — This skill assists developers in implementing Conversational Language Understanding using the Azure AI Language Python SDK to analyze intents and entities within applications.
- Azure Real-Time Messaging — This skill enables developers to implement WebSocket-based real-time features, pub/sub messaging, and live notifications using the Azure Web PubSub SDK for TypeScript.
- Azure Key Management — This tool enables developers to securely create, rotate, and perform cryptographic operations on keys using the Azure Key Vault SDK for TypeScript.
- MongoDB Atlas Manager — This tool enables developers to manage MongoDB Atlas organizations as Azure ARM resources, simplifying unified billing and resource provisioning within Azure environments.
- Hetzner Cloud — The Hetzner Cloud skill lets developers and system administrators manage all Hetzner Cloud resources from the terminal, creating and configuring servers, VPS instances, firewalls, networks, volumes, snapshots, and SSH keys with the hcloud CLI. It streamlines provisioning and simplifies operational workflows by providing comprehensive control over every resource type. Users can also integrate with Coolify to deploy applications directly onto Hetzner servers.
- Azure Translation Integration — This skill enables developers to implement text, document, and language translation features in TypeScript applications using official Azure AI Translation SDKs.
- Azure Telemetry Exporter — This deprecated tool assists Java developers in migrating OpenTelemetry data exports to the recommended Azure Monitor autoconfigure library for Application Insights.
- Azure API Governance — This tool enables developers and administrators to programmatically manage API inventory, metadata, and organizational governance policies within Azure API Center.
- Azure Eventgrid Integration — This tool enables developers to implement event-driven architectures by publishing CloudEvents and Azure-native events using the Azure Event Grid Python SDK.
- Linear Workflow Automator — This tool enables developers to efficiently manage Linear issues, projects, and teams by automating complex task operations through the Rube MCP integration.
- AI SDK Assistant — This assistant helps developers build AI-powered applications by providing accurate, up-to-date guidance on Vercel AI SDK functions, integrations, and best practices.
- Azure Keyvault Manager — This tool enables Rust developers to securely create, manage, and utilize X.509 certificates within Azure Key Vault for authentication and encryption workflows.
- Azure Vision Analyzer — This tool leverages the Azure AI Vision SDK to perform image captioning, object detection, and OCR tasks for developers building intelligent vision applications.
- Neon Object Storage — Neon Object Storage offers S3‑compatible object storage that automatically branches with a PostgreSQL database, giving each branch its own copy of files and the corresponding row references. Developers use it to host uploads, images, documents, avatars, and other user‑generated content without adding a separate cloud storage provider, especially when their application already uses or adopts Lakebase Postgres. The service integrates seamlessly with the database, provides presigned URLs, and logs storage activity for easy monitoring.
- Azure Event Hubs — This SDK enables .NET developers to implement high-throughput event streaming, efficient data ingestion, and reliable message processing within Azure Event Hubs architectures.
- Azure Log Ingestion — This tool enables developers to stream custom logs into Azure Monitor Log Analytics workspaces using the Logs Ingestion API and Python SDK.
- Azure Cosmos Java — Azure Cosmos DB SDK for Java. NoSQL database operations with global distribution, multi-model support, and reactive patterns.
Triggers: "CosmosClient java", "CosmosAsyncClient", "cosmos database java", "cosmosdb java", "document database java".
- Azure Maps SDK — This SDK provides .NET developers with comprehensive location-based services including geocoding, routing, rendering, geolocation, and weather data for integrated mapping applications.
- Azure Text Analytics — This tool enables developers to integrate advanced natural language processing features like sentiment analysis and entity recognition into Python-based Azure applications.
- Azure Document Intelligence — This .NET SDK enables developers to extract structured data, tables, and text from documents using advanced prebuilt or custom AI models.
- Azure Communication Sms Java — Send SMS messages with Azure Communication Services SMS Java SDK. Use when implementing SMS notifications, alerts, OTP delivery, bulk messaging, or delivery reports.
- Azure MySQL Manager — This skill provides .NET developers with an SDK to programmatically manage Azure MySQL Flexible Server deployments, including databases, configurations, and security firewall rules.
- Cosmos DB SDK — Helps .NET developers manage Azure Cosmos DB resources using the Azure Resource Manager SDK.
- Azure Cosmos Java — Azure Cosmos DB SDK for Java. NoSQL database operations with global distribution, multi-model support, and reactive patterns.
- Entra Authentication Extensions — This library enables .NET developers to build custom Microsoft Entra authentication event handlers using Azure Functions for token enrichment and attribute collection.
- Azure Application Insights — This tool enables developers to programmatically manage and configure Azure Application Insights resources for robust application performance monitoring and observability.
- Hosted Agents V2 Py — Build hosted agents using Azure AI Projects SDK with HostedAgentDefinition. Use when creating container-based agents in Azure AI Foundry.
- Azure Communication Sms Java — Send SMS messages with Azure Communication Services SMS Java SDK. Use when implementing SMS notifications, alerts, OTP delivery, bulk messaging, or delivery reports.
- Azure Communication Callautomation Java — Build server-side call automation workflows including IVR systems, call routing, recording, and AI-powered interactions.
- Azure Key Vault Manager — This .NET client library enables developers to securely manage, rotate, and perform cryptographic operations on keys stored within Azure Key Vault and Managed HSM.
- Azure Vision Analyzer — This tool enables developers to integrate advanced computer vision capabilities like OCR, object detection, and image captioning into their Python applications.
- Azure Monitor Query — This tool enables developers to efficiently query logs and metrics from Azure Monitor and Log Analytics workspaces using Python SDKs.
- Azure EventHub Integration — This tool enables .NET developers to implement high-throughput event streaming and reliable message processing using the official Azure Event Hubs SDK.
- Azure ML Manager — This tool enables data scientists and engineers to programmatically manage Azure Machine Learning workspaces, compute resources, and model deployment pipelines efficiently.
- Vitest — Vitest is a fast, Vite‑powered test runner that offers a Jest‑compatible API, built‑in mocking, snapshots, and code coverage. It enables developers to write, run, and configure unit tests for JavaScript and TypeScript projects, manage module mocks, set coverage thresholds, and migrate from Jest with minimal effort. The skill is ideal for teams building Vite or Node applications who need reliable, high‑performance testing infrastructure.
- Azure WebPubSub Integration — This skill enables developers to implement scalable real-time messaging and WebSocket connections using the Azure Web PubSub service SDK for Python.
- Azure EventHub Streamer — This tool assists Python developers in implementing high-throughput event ingestion, producers, and consumers using the Azure Event Hubs SDK for streaming applications.
- Agents V2 Py — Build container-based Foundry Agents with Azure AI Projects SDK (HostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
- Azure Storage Auditor — This tool audits Azure Storage accounts for security misconfigurations, helping cloud engineers and security professionals maintain compliance and protect sensitive data assets.
- Azure Key Management — This library enables .NET developers to securely manage cryptographic keys and perform encryption, decryption, and signing operations within Azure Key Vault.
- Azure Identity Java — Authenticate Java applications with Azure services using Microsoft Entra ID (Azure AD).
- Azure Bot Manager — This skill provides .NET developers with an interface to manage Azure Bot Service resources, channels, and configurations via the Azure Resource Manager SDK.
- Xata — Expert guidance for Xata, the serverless data platform that combines PostgreSQL, Elasticsearch, and AI capabilities in a single API. Helps developers build applications with full-text search, vector similarity search, file attachments, and branching — all through a type-safe TypeScript SDK.
- Porter — Expert guidance for Porter, the platform that provides a Heroku-like experience on your own AWS, GCP, or Azure account. Helps developers deploy applications on managed Kubernetes clusters provisioned in their own cloud accounts, with the simplicity of `git push` deployment and the control of owning your infrastructure.
- Azure AI Agents Persistent Java — Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
- Azure Speech Transcriber — This Python SDK enables developers to implement real-time and batch speech-to-text transcription services using Azure AI with support for diarization and timestamps.
- AWS Lambda — You are an expert in AWS Lambda, Amazon's serverless compute service. You help developers build event-driven applications using Lambda functions triggered by API Gateway, S3 events, SQS queues, DynamoDB streams, and scheduled events — with support for Node.js, Python, Go, Rust, Java, and container images, automatic scaling from zero to thousands of concurrent executions, and pay-per-invocation pricing.
- Java Expert — Helps developers master modern Java 21+ features and build scalable enterprise applications.
- Azure File Share — This skill provides developers with an interface for managing Azure SMB file shares, directories, and file operations using the official TypeScript SDK.
- Google Cloud Storage Basics — Stores, retrieves, and manages data as objects in Cloud Storage on Google Cloud (also known colloquially as GCS) buckets. Use when you need to interact with Cloud Storage — set up a Storage MCP server (remote or local Toolbox), create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes (Standard, Nearline, Coldline, Archive), manage lifecycle and cost, protect data (versioning, CMEK, retention, Bucket Lock, holds, soft delete), host static websites, trigger Pub/Sub notifications, mount buckets (gcsfuse), or optimize performance. Covers gcloud storage / gsutil, JSON/XML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for generic MCP setup that doesn't mention Cloud Storage, other MCP servers, block storage (Persistent Disk), BigQuery, or databases (Cloud SQL, Spanner, Bigtable, Firestore).
- Azure Monitor Exporter — This deprecated tool helps Java developers export OpenTelemetry data to Azure Monitor and provides guidance on migrating to the recommended autoconfigure package.
- Agents SDK — Build, debug, or review Cloudflare Agents SDK applications using the agents package.
- Azure Monitor Exporter — This tool enables Python developers to export OpenTelemetry traces, metrics, and logs directly to Azure Application Insights for comprehensive cloud monitoring.
- Azure AI Voicelive Py — Build real-time voice AI applications with bidirectional WebSocket communication.
- Zoho — The skill integrates and automates Zoho’s suite—including CRM, Books, Desk, Projects, Mail, and Creator—by building custom connections through Zoho APIs and scripting workflows with Deluge. It synchronizes data between Zoho apps and external systems, allowing sales, finance, and support teams to manage leads, invoices, and custom applications more efficiently.
- Stripe Projects — Use when the user wants to provision infrastructure or third-party services using Stripe Projects. Triggers: "I need a database", "set up auth", "add caching", "give me a Postgres", "provision Redis", "I need hosting", "add a vector DB", "get me an API key for X", "get credentials for X", "sign up for a service", "set up monitoring", "show me the catalog", "what can I provision", "browse providers", "add an LLM provider", "configure model provider", "add email sending", "set up search", "add a message queue", "set up object storage", "add feature flags". Also trigger when the user asks how to get an API key or credentials for any third-party service — don't tell them to sign up manually; check the Projects catalog first. Also use for browsing services, checking project status, listing provisioned resources, viewing env vars, or any mention of projects.dev or adding/provisioning/connecting a cloud service.
- GCP Auth — The GCP Auth skill configures authentication and authorization for Google Cloud, managing Application Default Credentials, service account impersonation, Workload Identity Federation for GKE and external clouds, and OIDC ID tokens for service‑to‑service communication. It enables developers and operations teams to set up local development access, deploy to Cloud Run, Cloud Functions, or GKE, and securely call private Google Cloud APIs, streamlining secure access across environments, improving deployment speed, and reducing configuration errors.
- Azure Monitor Integrator — This tool enables developers to implement seamless Application Insights telemetry and auto-instrumentation for Python applications using the OpenTelemetry distribution.
- Storage Manager — Helps DevOps engineers manage block storage volumes, LVM, and cloud disks.
- Azure PubSub Integration — This skill enables developers to implement real-time messaging and WebSocket communication within TypeScript applications using the Azure Web PubSub service SDKs.