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概要と使いどころ
Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization. Triggers: "transcription", "speech to text", "Azure AI Transcription", "TranscriptionClient".
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。
Azure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data. Triggers: "cosmos db", "CosmosClient", "container", "document", "NoSQL", "partition key".
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 Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service layer classes with CRUD operations, partition key strategies, parameterized queries, or TDD pattern...
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。
Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories. Triggers: "azure-containerregistry", "ContainerRegistryClient", "container images", "docker registry", "ACR".
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。
Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video. Triggers: "azure-ai-contentunderstanding", "ContentUnderstandingClient", "multimodal analysis", "document extraction", "video analysis", "audio transcription".
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。
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent a...
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。
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Triggers: "PersistentAgentsClient", "persistent agents java", "agent threads java", "agent runs java", "streaming agents java".
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。
Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in. Capabilities: drop-in agent, human-in-the-loop, client-side tools, form filling. Use for: building AI chat interfaces, agentic UIs, SaaS...
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。
This skill covers detecting anomalies in Modbus/TCP and Modbus RTU communications in industrial control systems. It addresses function code monitoring, register range validation, timing analysis, unauthorized client detection, and deep packet inspection for malformed Modbus frames. The skill leverages Zeek with Modbus protocol analyzers, Suricata IDS with OT rules, and custom Python-based detection using Markov chain models for normal Modbus transaction sequences.
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。
Deploying Cloudflare Access with Cloudflare Tunnel to provide zero trust access to self-hosted and private applications, configuring identity-aware access policies, device posture checks, and WARP client enrollment for VPN replacement.
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。
Conducts authorized wireless network penetration tests to assess the security of WiFi infrastructure by testing for weak encryption protocols, captive portal bypasses, evil twin attacks, WPA2/WPA3 handshake capture, rogue access point detection, and client-side attacks. The tester evaluates wireless authentication, network segmentation, and the effectiveness of wireless intrusion detection systems. Activates for requests involving wireless pentest, WiFi security assessment, WPA2/WPA3 testing, or rogue access point detection.
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 secure OAuth 2.0 authorization flows including Authorization Code with PKCE, Client Credentials, and Device Authorization Grant. This skill covers flow selection, PKCE implementation, token
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 a phishing report button in email clients with automated triage workflow that analyzes user-reported suspicious emails and provides feedback to reporters.
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。
Runtime iOS app security testing with Objection (Frida): inspect keychain and filesystem data, explore app internals at runtime, and validate/bypass client-side protections during authorized mobile assessments.
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。
Guidelines and instructions for maintaining, extending, and debugging the Konoha MCP Tools Orchestrator, MCP middleware, and multi-archetype website builder across 7 coding clients (Antigravity IDE/CLI, Cursor, Claude Code, OpenCode, Command Code, Codex, Pi/pi.dev).
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。
This skill should be used when creating RFQ (Request for Quotation) documents for software development projects to send to vendors. Use this skill when you have received vague requirements from clients and need to structure them into clear, comprehensive RFQs that enable vendors to provide accurate estimates. Supports Japanese (default) and English, with systematic requirements elicitation, clarification, and markdown-formatted output.
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。
Periodic inbox scan that categorizes new emails by project/client, identifies action-required items, and generates prioritized summary with FYI/requires-response/requires-action/blocked-waiting classifications. Use for inbox overview, project-based email grouping, or action item extraction.
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。
Transform client hearing sheets and meeting notes into structured requirements documents. Use when converting raw hearing data (Japanese/English) into formal requirements, generating traceability matrices, identifying gaps/ambiguities, and mapping requirements to WBS items. Triggers include "hearing to requirements", "meeting notes to specs", "requirements traceability", "gap analysis for requirements", or requests involving hearing sheet 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 developing, reviewing, debugging, porting, or engineering Linux kernel device drivers, kernel modules, device tree bindings, bus clients, subsystem drivers, DMA/IRQ/memory paths, userspace interfaces, or hardware bring-up plans.
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 connecting AI SDK for Python streams to AI SDK UI useChat clients.
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。
Load for Blazor BFF server work involving YARP proxy routes, cookie sessions, access-token forwarding/refresh, downstream API calls, BFF handlers, or browser-to-API auth failures; not for client component rendering or API JWT validation alone.
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。
Load when creating, scaffolding, configuring, debugging, testing, containerizing, or publishing a C#/.NET Model Context Protocol (MCP) server using the official Microsoft ModelContextProtocol SDK; not for non-.NET MCP servers, general ASP.NET Core APIs without MCP, or consuming external MCP tools as a client.
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。
Load for Blazor/MudBlazor component or page changes involving render modes, dialogs, parameters/events, HAL-gated actions, generated API clients or generated record consumption, theming, or component tests; add accessibility or CSS-isolation only when touched.
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。
Non-streaming and streaming SSR, RouterClient/RouterServer, renderRouterToString/renderRouterToStream, createRequestHandler, defaultRenderHandler/defaultStreamHandler, HeadContent/Scripts components, head route option (meta/links/styles/scripts), ScriptOnce, automatic loader dehydration/hydration, memory history on server, data serialization, document head management.
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。