'tor' 검색 결과

Audit Azure Blob and ADLS storage accounts for public exposure, risky access tokens, encryption settings, and insecure transport configurations. Use the azure-mgmt-storage Python SDK to produce a JSON report with account findings, severity ratings, and remediation recommendations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing storage accounts across an Azure subscription
• Investigating suspected exposure through public blob access
• Reviewing SAS token permissions and expiration

Review a pull request in a Factory work session by investigating its purpose, history, implementation, tests, and security. Publish verification results and a review verdict, then record the outcome on the work card.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a pull request assigned through Factory
• Checking whether a bug fix addresses the underlying cause
• Verifying findings from bots and human reviewers

Diagnose Google Cloud Filestore mount failures by checking client access rules, network firewalls, and audit logs. Distinguish permission errors from connection timeouts, then provide a structured report and remediation commands that require confirmation before execution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a Filestore mount that hangs or fails
• Diagnosing access-denied errors from a GKE workload
• Checking client permissions and VPC firewall rules

Helps choose and tune Cloud Storage FUSE mounts, which expose bucket objects through file paths. It covers cache sizing, training performance, checkpoint write safety, and cost diagnosis on GKE, Compute Engine, and Cloud Run.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Access training data through file paths
• Choose between FUSE, native reads, and shared file systems
• Check checkpoint and concurrent write safety

Turn Cloud Monitoring metric definitions and resource filters into validated PromQL queries, a language for querying monitoring data. Choose suitable aggregation functions, preserve supplied resource names, and format queries for use in Cloud Monitoring.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert Cloud Monitoring metric definitions into PromQL
• Filter monitoring queries to specific resources
• Choose aggregations that match metric types

Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Answers questions about storage access tiers (hot, cool, cold, archive), when to use each tier, and tier comparison. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics. Includes lifecycle management. USE FOR: blob storage, file shares, queue storage, table storage, data lake, upload files, download blobs, storage accounts, access tiers, storage tiers, hot cool cold archive, storage tier comparison, when to use storage tiers, lifecycle management, Azure Storage concepts. DO NOT USE FOR: SQL databases, Cosmos DB (use azure-prepare), messaging with Event Hubs or Service Bus (use azure-messaging).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Answers questions about storage access tiers (hot, cool, cold, archive), when to use each tier, and tier comparison. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics. Includes lifecycle management. USE FOR: blob storage, file shares, queue storage, table storage, data lake, upload files, download blobs, storage accounts, access tiers, storage tiers, hot cool cold archive, storage tier comparison, when to use storage tiers, lifecycle management, Azure Storage concepts. DO NOT USE FOR: SQL databases, Cosmos DB (use azure-prepare), messaging with Event Hubs or Service Bus (use azure-messaging).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Designing interactive calculators (ROI calculators, pricing estimators, savings projections, mortgage calculators, custom assessments) that deliver real decision-support value while serving as lead magnets and qualified-traffic generators. Honest about vanity-calculator (no real value), lead-trap (hides the answer behind email), and transparent-decision-tool (gives the result and earns the email through tiered value) patterns. Triggers on calculator, ROI calculator, pricing estimator, savings calculator, custom calculator, interactive tool, decision tool, financial calculator. Also triggers when an audience needs a calculation-driven lead magnet, when a vanity calculator is producing leads but no qualified ones, or when a calculator is being scoped for the first time.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Filter Shopify standalone stores by multiple dimensions (store name/domain, country, years since creation, product count, ad count, monthly visits, monthly orders, social media followers, etc.). Triggered when users mention Shopify stores, Shopify store analysis, standalone stores, Shopify sellers, competitor standalone stores, Shopify monthly visits, standalone store ad library, shopify stores, or Shopify store query. Even if the user does not mention the tool name, this skill should be triggered whenever searching for stores, filtering store data, or analyzing store performance on Shopify standalone stores.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

App Store / Google Play 用のプロモーションスクリーンショットを Pencil (.pen) で生成する Agent Team スキル。creative-director が戦略を立て、screenshot-designer が Pencil で デザインを構築し、copy-writer がコピーを提供し、spec-validator が技術仕様を数値検証し、 quality-reviewer が最終品質を確認する。5エージェント体制で高品質なスクリーンショットを生成。 Use when: App Store スクリーンショットを作りたい、プロモーション画像を作成したい、 スクショのデザインをしたい。 Triggers: "スクリーンショット作成", "App Store 画像", "プロモーションスクショ", "screenshot creator", "スクショ作って", "App Store 素材"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

iOS/Android シミュレーターのスクリーンショットから macOS ウィンドウのタイトルバー （"iPhone 16 Pro / iOS 18.6" 等のシミュレーター chrome）を自動検出して除去するスキル。 alpha チャンネルを利用してバーの高さを自動検出するため、1x/2x/3x どの解像度でも動作する。 Use this skill when the user wants to crop simulator screenshots, remove the simulator title bar, clean up Xcode simulator captures, or prepare app screenshots for App Store. Triggers: "シミュレーターのスクショからバーを除去", "simulator chrome crop", "タイトルバー除去", "スクショのクロップ", "simulator screenshot crop", "シミュレーターのヘッダー消して", "スクショ切り抜き", "crop simulator".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Locate CCSPlayerController_InventoryServices::m_pInventory in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the WeaponPaints gamedata entry "CCSPlayerController_InventoryServices::m_pInventory" (symbol CCSPlayerController_InventoryServices_m_pInventory). This is a STRUCT MEMBER OFFSET (schema netvar), not a function. Resolve the CCSPlayerController_InventoryServices class layout via the schema/network system; m_pInventory is an 8-byte pointer member early in the class (must stay 8-aligned). Cross-check: functions of the class dereference this->m_pInventory shortly after entry. Trigger: CCSPlayerController_InventoryServices_m_pInventory, CCSPlayerController_InventoryServices::m_pInventory

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TorchTitan과 PyTorch로 대규모 언어 모델 사전 학습을 설정합니다. 여러 GPU에 작업을 나누고 단일·다중 노드 실행과 학습 저장·재개를 지원합니다.

• 단일 노드에서 Llama 3.1 8B 사전 학습
• SLURM으로 다중 노드 학습 실행
• H100용 Float8 학습 설정

Start and manage a Shopify store, from exploring business names and sample catalogs to adding products, updating inventory, checking orders, creating discounts, and reviewing sales. Store connection also supports people creating their first Shopify account and store.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exploring store names, domains, and sample catalogs
• Opening a first online store and registering products
• Organizing product collections and updating inventory

Create product comparison and alternative pages that help buyers evaluate options. Organize pricing, features, use cases, and migration details, and audit existing competitive claims for outdated information, missing evidence, or wording that overstates the facts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a page comparing your product with a competitor
• Planning a list of alternative products
• Checking existing comparison claims for accuracy

Organize PyTorch models and data pipelines with PyTorch Lightning, automate training, save checkpoints, and track experiments. Includes templates and guidance for configuring training across multiple GPUs or TPUs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Restructure PyTorch training code into LightningModules
• Build reusable data preparation and loading pipelines
• Configure checkpoints, early stopping, and experiment logs

Improve mobile app listings on Apple App Store and Google Play Store through keyword research, competitor and review analysis, and listing revisions. Produce metadata suggestions, visual asset guidance, A/B test plans, and launch checklists.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching app keywords and competitors
• Revising store titles and descriptions
• Extracting complaints and feature requests from reviews

Convert existing scripts, CLI tools, or Crawlee projects into reusable Apify Actors, programs packaged as Docker images. Define JSON inputs and outputs, integrate the SDK, test locally, and deploy to Apify.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning an existing script or CLI tool into an Actor
• Migrating a Crawlee project to Apify
• Defining JSON inputs and structured outputs

Inspect browser storage and caches in a CTF sandbox to explain changes in authentication, page rendering, or requests. Compare clean and modified states, then document the smallest sequence that reproduces the relevant behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating login behavior affected by stored browser state
• Explaining page differences caused by caches
• Reproducing behavior with clean and modified storage

Set up and manage DeepTutor from the command line, a text interface for running commands. Run learning tasks, build searchable document collections, manage sessions and notebooks, diagnose installation issues, and launch the server or Web app.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up DeepTutor and diagnose installation issues
• Build and search a knowledge base from PDFs
• Generate practice questions from learning materials