1.3천건 · 관련도순
Use when an app, service, or user-mode driver host heap fails or Application Verifier detects corruption; inspect history and bounds. Not for kernel pool corruption or ordinary OOM.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when kernel evidence shows stalled I/O, a power IRP, or completion/cancellation misuse; inspect request state and driver ownership. Not for interpreting an empty IRP search in a limited dump as proof of healthy I/O.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when kernel threads block on driver synchronization or Verifier reports a lock-order violation; build an owner/waiter graph. Not for treating every watchdog stop as a deadlock or listing every lock type with !locks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when an app, service, or user-mode driver host is unresponsive on locks, COM/RPC, I/O, or another process; follow the blocker chain. Not for a crash solely from an exception stack.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use with every WinDbg plugin investigation to apply evidence-first reasoning, confidence calibration, contrarian review, structured reporting, and deterministic validation. Not a bug-family-specific triage skill.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a kernel dump contains Driver Verifier violations; inspect flags, bugcheck subcodes, and available I/O shadow state. Not for Application Verifier user-mode stops or inferring a violation from enabled flags alone.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a native app, service, or user-mode driver host allocation fails; distinguish VA exhaustion, fragmentation, and commit pressure. Not for managed .NET heap growth, proving a leak from one snapshot, or corruption.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a kernel dump reports a Windows bugcheck; decode parameters and recover exception or trap context before investigating your driver. Not for user-mode process crashes or blaming a module from its name alone.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a native C/C++ app, service, or user-mode driver host (including UMDF) crashes with a structured exception in a dump or WinDbg session, including native faults inside managed processes. Not for managed .NET exceptions, WinUI/XAML app errors, or kernel bugchecks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Execute read-only SQL queries against multiple Microsoft SQL Server databases. Use when: (1) querying MSSQL/SQL Server databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Daily inbox triage using Cowork's email write tools (Microsoft 365 or Gmail) -- classifies unread mail, drafts replies in your voice, flags what needs a decision, and schedules follow-ups. Built to run as a recurring Cowork scheduled task.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill for maintaining, migrating, debugging, and safely operating Microsoft AutoGen Python 0.7.x applications, including AgentChat, Core runtimes, extensions, Studio, Magentic-One, AG Bench, and pyautogen compatibility.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Microsoft 365 / Entra ID attack - tenant discovery, user enumeration via OneDrive differential (2026 verified), AADSTS code reference, Smart Lockout math (hard cap 1-2 attempts/user), ROPC validation, Conditional Access mapping. Wiki-first, FIND schema output.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Provide comprehensive techniques for attacking Microsoft Active Directory environments. Covers reconnaissance, credential harvesting, Kerberos attacks, lateral movement, privilege escalation, and domain dominance for red team operations and penetration testing.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Detects PII in unstructured data including emails, documents, images, and logs using NER-based detection with spaCy and Microsoft Presidio, regex patterns, OCR integration, and confidence scoring. Keywords: PII detection, unstructured data, NER, spaCy, Presidio, OCR, regex, email scanning, document scanning.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build automated PII detection and redaction pipelines using spaCy NER, Microsoft Presidio, and AWS Macie integration. Includes confidence scoring, custom entity type definitions, batch processing workflows, and multi-format document scanning for structured and unstructured data sources.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Implements data classification labels and tagging systems including metadata tagging, DLP integration, automated label propagation, user-applied labels, and label inheritance rules. Covers Microsoft Purview sensitivity labels and enterprise labeling architecture. Keywords: data labeling, sensitivity labels, metadata tagging, DLP integration, label propagation, Purview, classification.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Implements automated PII discovery and classification using tools like Microsoft Purview, BigID, OneTrust DataDiscovery, and AWS Macie. Covers scanning schedules, accuracy tuning, false positive management, and integration patterns. Keywords: data discovery, PII scanning, Purview, BigID, Macie, OneTrust, automated classification, data cataloging.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when writing, modifying, or reviewing Rust code. ALWAYS invoke before Rust edits; covers Microsoft Pragmatic Rust guidance for error handling, API design, performance, and idiomatic patterns.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Interview employees to identify recurring daily work, office workflows, and repetitive tasks that can be automated, co-piloted, or supported by AI. Use when the user wants to find what AI can take off their plate, map available tools such as ChatGPT/OpenAI, Claude, Microsoft Copilot, Excel or PowerPoint add-ins, Google Workspace, no-code/RPA tools, coding agents, or internal automation platforms, and write tool-aware specs with fallback paths.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.