Results for “resources”

Reviews AWS infrastructure as code and deployed resources against the Well-Architected Framework, generating findings and GitHub issues for remediation.

Infrastructure-as-code with Terraform/OpenTofu — resources, state, modules, plan/apply. Use when writing `.tf` files, managing cloud infrastructure with Terraform or OpenTofu, handling state and backends, or reviewing IaC code.

Manage Azure Machine Learning resources including workspaces, jobs, models, data, compute, and pipelines using the SDK v2 for Python.

Guides Microsoft Entra ID app registration, OAuth 2.0 authentication, and MSAL integration for authenticating users and accessing Azure resources.

Manages and analyzes Agora real-time communication resources, including channels, usage, and quality metrics, via the Agora REST API.

Execute KQL queries and manage Azure Data Explorer resources for fast, scalable big data analytics on log, telemetry, and time series data.

Manage Arize AI Observability and Evaluation resources on Azure using the .NET SDK. Create, read, update, and delete Arize organizations via Azure Marketplace.

Analyze Azure resources and IaC files to identify cost optimization opportunities, calculate savings, and create GitHub issues for tracking.

Operates AWS resources directly through the AWS CLI, covering S3, EC2, Lambda, and CloudFormation. Activates when AWS-related terms are mentioned and enforces confirmation for write operations.

Answers questions about AWS resources using the local AWS CLI, defaulting to read-only queries and requiring explicit confirmation before any write or destructive action.

Manage AWS cloud optimization and cost savings with nOps, including ShareSave analysis, commitment management, well-architected reviews, idle resource detection, and cost dashboards.

Provision and manage Azure Durable Task Scheduler resources, task hubs, and retention policies using the .NET Azure Resource Manager SDK.

Operates Vultr cloud resources directly via the vultr-cli command-line tool, covering instances, object storage, and account management with built-in confirmation for write operations.

Provides chat-based Azure infrastructure assistance using the Azure CLI, supporting read-only queries, auditing, and monitoring of resources, with safe change proposals requiring explicit confirmation.

Manages SST applications by discovering project config, checking stack status, and inspecting bound resources. Supports deployment, live Lambda debugging, secret management, and multi-stage environments.

Cloud GPU processing via RunPod serverless. Use when setting up RunPod endpoints, deploying Docker images, managing GPU resources, troubleshooting endpoint issues, or understanding costs. Covers all 5 toolkit images (qwen-edit, realesrgan, propainter, sadtalker, qwen3-tts).

Cloud GPU processing via RunPod serverless. Use when setting up RunPod endpoints, deploying Docker images, managing GPU resources, troubleshooting endpoint issues, or understanding costs. Covers all 5 toolkit images (qwen-edit, realesrgan, propainter, sadtalker, qwen3-tts).

Validate enterprise workloads against Google Cloud best practices using public client libraries and the REST API to manage evaluations, rules, scanned resources, and validation results.

Build, test, inspect, install, and deploy MCP servers with FastMCP in Python, including wrapping APIs, databases, or files as tools and exposing resources or prompts.

Manages and analyzes Ably real-time messaging resources, covering channels, presence, connections, usage analytics, and account health via REST and Control APIs.

Manage Azure SQL resources (servers, databases, elastic pools, firewall rules, failover groups) using the Azure Resource Manager SDK for .NET.

Build production-quality Model Context Protocol (MCP) servers in C#/.NET using the official 1.x NuGet packages, covering transports, tools, prompts, resources, and common pitfalls.

Identify and exploit SSRF vulnerabilities to access internal services, cloud metadata, and restricted network resources during authorized penetration tests.

Manage Hugging Face Hub resources: download/upload models, datasets, spaces; manage repos, buckets, collections, discussions, and cache; run SQL queries on datasets; authenticate and manage tokens.

Manage Azure Bot Service resources using the .NET management SDK. Create, configure, and delete bots, channels (DirectLine, Teams, Slack), and connection settings via Azure Resource Manager.

Manage MongoDB Atlas Organizations as Azure ARM resources with unified billing through Azure Marketplace. Create, update, list, or delete Atlas organizations using the Azure.ResourceManager.MongoDBAtlas SDK.

Automate AWS GuardDuty threat detection findings processing using EventBridge and Lambda to enable real-time incident response, automatic quarantine of compromised resources, and security notification workflows.

Manage Oracle Cloud Infrastructure Internet of Things Platform resources: domains, digital twin models, adapters, instances, relationships, and device publish flows. Includes discovery, inspection, safe lifecycle operations, and troubleshooting.

Execute cloud-native incident containment across AWS, Azure, and GCP by isolating compromised resources, revoking credentials, preserving forensic evidence, and applying security group restrictions to prevent lateral movement.

Manage Hugging Face Hub resources via the `hf` CLI: download and upload models, datasets, and spaces; manage buckets, cache, collections, discussions, and inference endpoints; run SQL queries on datasets.

Manage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints. Use when working with Azure DevOps, az commands, devops automation, CI/CD, or when user mentions Azure DevOps CLI.

Manage custom Agent resources on the Gemini Enterprise Agent Platform via REST API, including creation, configuration, listing, updating, and deletion with support for files, skills, and tools.

Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check deployment status, verify serving endpoints, or clean up resources by undeploying models and deleting endpoints.

Discover MATLAB Parallel Computing Toolbox clusters on the network and in the cloud, and manage their profiles — list, inspect, import, export, set default, validate, and delete. Use whenever the user asks what parallel computing resources, clusters, or cluster profiles they have or can use — e.g. "what parallel resources do I have", "show my cluster profiles", "list clusters", "what clusters can I run on", "where can I submit jobs" — and for any work with parcluster, parallel.listProfiles, parallel.defaultProfile, MJS / Generic / HPC Server / MJSComputeCloud clusters, .mlsettings files, or profile validation. Does NOT cover job submission, parpool, or parfor.

Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment.

Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment.