1,172 件 ・ 関連度順
概要と使いどころ
Expert knowledge for Azure Managed Grafana development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring MCP/AI Foundry dashboards, Prometheus/AKS or ADX data sources, private endpoints, or Enterprise upgrades, and other Azure Managed Grafana related development tasks. Not for Azure Monitor (use azure-monitor).
日本語の概要は準備中です。原文の説明を表示しています。
Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AutoML, Prompt Flow, online/batch endpoints, vector stores/RAG, or MLflow/ONNX deployments, and other Azure Machine Learning related development tasks. Not for Azure Databricks (use azure-databricks), Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Science Virtual Machines (use azure-data-science-vm), Azure HDInsight (use azure-hdinsight).
日本語の概要は準備中です。原文の説明を表示しています。
Expert knowledge for Azure Event Grid development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring Event Grid/MQTT namespaces, securing endpoints, routing events, integrating Functions/Service Bus, or troubleshooting delivery, and other Azure Event Grid related development tasks. Not for Azure Event Hubs (use azure-event-hubs), Azure Service Bus (use azure-service-bus), Azure Notification Hubs (use azure-notification-hubs), Azure Web PubSub (use azure-web-pubsub).
日本語の概要は準備中です。原文の説明を表示しています。
Expert knowledge for Azure Digital Twins development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when modeling DTDL graphs, integrating IoT Hub/ADx, configuring endpoints/routes, securing access, or tuning query units, and other Azure Digital Twins related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Central (use azure-iot-central), Azure IoT Operations (use azure-iot-operations).
日本語の概要は準備中です。原文の説明を表示しています。
Expert knowledge for Azure Connector Namespace development including configuration. Use when setting up hosted MCP servers, defining Connector Namespace endpoints, auth settings, or runtime options, and other Azure Connector Namespace related development tasks. Not for Azure Service Connector (use azure-service-connector), Azure API Management (use azure-api-management), Azure Logic Apps (use azure-logic-apps), Azure Functions (use azure-functions).
日本語の概要は準備中です。原文の説明を表示しています。
Expert knowledge for Azure Cache for Redis development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, and deployment. Use when configuring geo-replication, persistence, VNet/private endpoints, Entra/RBAC auth, or ARM/Bicep deployments, and other Azure Cache for Redis related development tasks. Not for Azure Managed Redis (use azure-managed-redis), Azure Cosmos DB (use azure-cosmos-db), Azure Table Storage (use azure-table-storage).
日本語の概要は準備中です。原文の説明を表示しています。
Expert knowledge for Azure App Testing development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when running Azure Load Testing, Playwright Workspaces, JMeter/Locust tests, private endpoint/VNet tests, or CI/CD runs, and other Azure App Testing related development tasks. Not for Azure Test Plans (use azure-test-plans), Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure App Service (use azure-app-service).
日本語の概要は準備中です。原文の説明を表示しています。
Expert knowledge for Azure Attestation development including troubleshooting, best practices, security, configuration, and deployment. Use when validating attestation tokens, authoring policies, enforcing SGX/TPM baselines, or configuring private endpoints, and other Azure Attestation related development tasks. Not for Azure Confidential Computing (use azure-confidential-computing), Azure Virtual Enclaves (use azure-virtual-enclaves), Azure Dedicated HSM (use azure-dedicated-hsm), Azure Key Vault (use azure-key-vault).
日本語の概要は準備中です。原文の説明を表示しています。
Point Aeon at a service's /feedback endpoint - pull what agents reported (bugs, missing features), triage and cluster it, then build the best accepted request as a PR for a human to approve.
日本語の概要は準備中です。原文の説明を表示しています。
Run a task through your Executor Cloud tool catalog - one MCP endpoint proxying every integration you connected (MCP servers, OpenAPI specs, GraphQL APIs), with per-tool allow/approve/block policies. OAuth Connect via the dashboard MCP panel.
日本語の概要は準備中です。原文の説明を表示しています。
Check whether an x402 payment endpoint is reliably delivering value before spending USDC on it. Returns paid delivery rate, active incidents, latency, and a clear proceed/warn/block recommendation.
日本語の概要は準備中です。原文の説明を表示しています。
Verify that an endpoint checks ownership, not just authentication. Use on any handler that reads or mutates user data.
日本語の概要は準備中です。原文の説明を表示しています。
Review REST API contracts for HTTP semantics, versioning, backward compatibility, and response consistency. Use when user asks "review API", "check endpoints", "REST review", or before releasing API changes.
日本語の概要は準備中です。原文の説明を表示しています。
Run a TypeScript script via tsx to fetch an HTTP endpoint and stream the response. Use when you need a small Node.js helper for HTTP calls.
日本語の概要は準備中です。原文の説明を表示しています。
Use for authorized macOS and Mach-O reverse engineering including codesign, Objective-C/Swift recovery, endpoint security surfaces, and Apple platform malware analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user says 'cognee', asks about knowledge graph or graph memory, wants to switch memory backends, or needs a status check, dataset init, or graph view. Covers Cognee endpoints plus the Brain fallback.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with this machine's local LLM setup (LM Studio + mlx-dspark) -- checking status, changing context window, diagnosing a reasoning hang or dead request, understanding RAM/speed tradeoffs, or wiring a new script to the local inference endpoint.
日本語の概要は準備中です。原文の説明を表示しています。
Build REST endpoints with API Resources, Sanctum authentication, and versioned route groups in Laravel. Use when creating JsonResource classes, adding token-based auth, or defining rate-limited API routes.
日本語の概要は準備中です。原文の説明を表示しています。
Create standardized API response envelopes, paginated endpoints, and error interceptors in NestJS. Use when implementing response wrappers, pagination DTOs, or global error formats.
日本語の概要は準備中です。原文の説明を表示しています。
Implement WebSocket gateways with Socket.io and Server-Sent Events endpoints in NestJS. Use when building chat features, live feeds, or choosing between WebSocket and SSE for real-time communication.
日本語の概要は準備中です。原文の説明を表示しています。
Configure structured logging with Pino, Prometheus metrics, and health checks for NestJS services. Use when adding JSON logging, request tracing with correlation IDs, Prometheus metric endpoints, or liveness/readiness health checks.
日本語の概要は準備中です。原文の説明を表示しています。
Apply REST API conventions — HTTP semantics, status codes, versioning, pagination, and OpenAPI standards for any framework. Use when designing endpoints, choosing HTTP methods, implementing pagination, or writing OpenAPI specs.
日本語の概要は準備中です。原文の説明を表示しています。
Decompile Android APK, XAPK, JAR, and AAR files using jadx or Fernflower/Vineflower. Reverse engineer Android apps, extract HTTP API endpoints, trace call flows from UI to network layer, and analyze runtime behavior with Frida, network capture, JNI/SO inspection, and signature generation. Use when the user wants to decompile, analyze, hook, inspect network traffic, bypass SSL pinning for analysis, locate crypto or signing logic, or follow call flows in Android packages.
日本語の概要は準備中です。原文の説明を表示しています。
Use the `hf` CLI for Hub authentication, downloads, uploads, repositories, cache, jobs, buckets, webhooks, and endpoint administration. Use for CLI operations, not model recommendations, paper analysis, training design, or building a Space.
日本語の概要は準備中です。原文の説明を表示しています。