'rag' 검색 결과

Manage files in Google Cloud's Cloud Storage buckets, the containers that hold stored data. Upload, download, and organize content, configure access and time-limited sharing links, and manage storage lifecycle, costs, and data protection.

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• Upload, download, and organize stored files
• Share files through time-limited signed URLs
• Review storage classes and lifecycle rules

Diagnoses storage failures in GKE, Google's managed Kubernetes service, including stuck Pods, disk attachment errors, storage pressure, and missing volume expansion. It provides diagnostic commands and reviewable configuration patches for deployment through GitOps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Diagnose Pods stuck in ContainerCreating
• Investigate slow disks and node storage pressure
• Find why expanded storage is missing inside a container

Configure Django file storage on AWS S3 using django-storages and boto3. Separate public and private files, create temporary download or upload links, configure CloudFront delivery, and test storage behavior without accessing real S3 buckets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Moving Django static files and uploads to S3
• Separating public files from private documents
• Creating temporary download and direct upload links

Helps configure persistent storage for GKE applications, including disk selection, storage requests, shared files through Filestore, and volume expansion. It also explains how disk compatibility and zone placement affect workload scheduling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating persistent storage for a GKE application
• Sharing files across multiple Pods with Filestore
• Expanding an existing storage volume

Run Appdrag operations through Rube MCP, a connection for agent tools. The skill explains how to find supported actions, check authentication, and execute tasks using current input requirements, including bulk processing and paginated data retrieval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find available Appdrag tools and required inputs
• Check Appdrag authentication before running tasks
• Execute multiple Appdrag operations in bulk

Audit Azure Storage settings for public containers, encryption, access permissions, network restrictions, and logging gaps. Use command-line checks and monitoring alerts to produce findings and remediation guidance across subscriptions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing storage settings across Azure subscriptions
• Investigating publicly accessible blob containers
• Verifying encryption, network, and logging controls

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

Explore document collections in Agent Platform RAG Engine, list their files, and retrieve relevant passages with source references. Use retrieved material to generate answers grounded in the collection through Python SDKs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Listing available document collections and files
• Inspecting a specific RAG corpus
• Finding relevant passages and their sources

Run Appdrag operations through Rube MCP, a connection for agent tools. The skill explains how to find supported actions, check authentication, and execute tasks using current input requirements, including bulk processing and paginated data retrieval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find available Appdrag tools and required inputs
• Check Appdrag authentication before running tasks
• Execute multiple Appdrag operations in bulk

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.

Measure and improve test coverage meaningfully. Covers Istanbul/V8/coverage.py configuration, coverage gap analysis by risk, coverage-as-ratchet in CI (never let it decrease), PR coverage diff checks, mutation testing for assertion quality, and distinguishing meaningful from vanity coverage. Use when: "code coverage," "coverage gap," "Istanbul," "coverage threshold," "coverage report," "branch coverage." Not for: writing the tests that raise coverage — use unit-testing; coverage as a tracked KPI trend over time — use qa-metrics. Related: unit-testing, ci-cd-integration, qa-metrics, ai-qa-review.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Measure Python SDK test coverage, the code exercised by tests, and identify meaningful gaps in user-visible behavior. Report proposed scenarios or add authorized tests, then verify the changes and report remaining gaps alongside coverage results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing Python SDK test coverage
• Investigating a decline in coverage metrics
• Finding untested error and cancellation paths

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

Complete guide for code coverage analysis. Use when you need to analyze code coverage, generate coverage reports, or configure CI/CD coverage checks. Covers Coverlet configuration, report generation, metric interpretation, and cyclomatic complexity integration. Includes Fine Code Coverage, VS Code built-in tools, and best practices. Keywords: code coverage, coverage analysis, coverage report, Coverlet, Fine Code Coverage, dotnet-coverage, ReportGenerator, line coverage, branch coverage, cyclomatic complexity, runsettings, cobertura

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design and create new Cloud Storage buckets for uses such as backups, media, and AI data. Check project security and name availability, choose storage and protection settings, and produce creation commands or code in the preferred format.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating storage for application media
• Designing buckets for sensitive data
• Preparing backup and long-term archive storage

Design an enterprise search system that answers questions using retrieved company content, an approach called RAG. Gather requirements and produce architecture diagrams, deployment guidance, and validation plans using GKE, AlloyDB, and open models.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing conversational search for internal documents
• Planning RAG with a vector-enabled SQL database
• Hosting open models on GKE

Evaluate older Wi-Fi clients and embedded devices for KRACK and FragAttacks vulnerabilities. Covers test suites, likely patch status, practical impact, and reporting findings by device, firmware version, and vulnerability identifier.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing older Wi-Fi clients
• Reviewing IoT firmware patch status
• Distinguishing KRACK and FragAttacks impacts

Stores, retrieves, and manages data as objects in Cloud Storage (Google Cloud Storage, or GCS) buckets. Use when you need to interact with Cloud Storage — create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes and tiering (Standard, Nearline, Coldline, Archive), manage cost and lifecycle, protect data (versioning, encryption/CMEK, retention and Bucket Lock, object holds, soft delete), host static websites, trigger Pub/Sub notifications on object changes, mount buckets as a file system (gcsfuse), or optimize storage performance at any scale. Covers the gcloud storage / gsutil CLI, JSON and XML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for block storage (Persistent Disk), data warehousing/analytics (BigQuery), or databases (Cloud SQL, Spanner, Bigtable, Firestore).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design a RAG pipeline that retrieves documents to support AI answers. Analyze document splitting, select embedding models and vector databases, and evaluate retrieval quality using test queries and known relevant documents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a RAG system for internal documents
• Choosing how to split documents for search
• Comparing embedding models and vector databases

Prepare trained machine learning models for production with deployment, monitoring, and retraining workflows. Build RAG systems that retrieve documents for answers, and integrate language model APIs with retries, fallback providers, and cost tracking.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploying a trained model to production
• Setting up model monitoring and retraining workflows
• Building a RAG pipeline for document-based answers

Turn a project directory or website URL into a short launch video using its real interface and visual assets. Create the storyboard, motion, music, sound effects, poster image, and share copy with tools available on the machine.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a launch video from a project directory
• Turning a website URL into a short introduction video
• Making vertical or square videos for sharing

Orchestrate any tdmcp test-coverage work: run the coverage harness, inspect coverage gaps, plan focused Vitest/msw or bridge tests, delegate coverage writers, verify coverage deltas, and re-run gates. Use whenever the user asks to raise coverage, add broad regression coverage, create a test harness, improve tests, re-run a coverage wave, or fix a coverage gate.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Orchestrate any tdmcp test-coverage work: run the coverage harness, inspect coverage gaps, plan focused Vitest/msw or bridge tests, delegate coverage writers, verify coverage deltas, and re-run gates. Use whenever the user asks to raise coverage, add broad regression coverage, create a test harness, improve tests, re-run a coverage wave, or fix a coverage gate.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.