94 件 ・ 関連度順
概要と使いどころ
Register, segment, filter, resample 3D medical images (MRI, CT, microscopy) via SimpleITK Python; DICOM, NIfTI, multi-modal. Rigid/affine/deformable registration, threshold/region-growing segmentation, Gaussian/morph filtering, label stats, format conversion. Use to align volumes across timepoints/modalities, segment fluorescence, or convert DICOM→NIfTI.
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。
Generate Quantity Take-Off (QTO) reports from BIM/CAD data. Extract volumes, areas, counts by category. Group elements, apply calculation rules, and create cost estimates automatically.
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。
Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.
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。
Process drone survey data for construction sites. Generate orthomosaics, DEMs, point clouds, calculate volumes, track progress, and integrate with BIM models for comparison.
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, configure, validate, deploy, run, and manage Declarative Automation Bundles (DABs, formerly Databricks Asset Bundles). Use when working with Databricks resources via DABs including dashboards, jobs, pipelines, alerts, volumes, and apps.
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 RAG / unstructured-document evaluation datasets and demo documents (e.g. for Knowledge Assistant) on Databricks: generate synthetic PDFs locally, upload to Unity Catalog volumes, and pair each document with test questions for retrieval evaluation.
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。
Generate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of rows. For small datasets (<10K rows), can optionally generate locally and upload to volumes. Use when user mentions 'synthetic data', 'test data', 'generate data', 'demo dataset', 'Faker', or 'sample 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。
Build, debug, serialize, and integrate Albumentations 2.x augmentation pipelines for images, masks, bboxes, keypoints, volumes, and PyTorch-style datasets.
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。
Art direction for puzzle and platformer games in Blender with readable interactables, jump volumes, and clear hazard language.
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。
Art direction for stealth-game spaces in Blender with shadow volumes, patrol-friendly layouts, and concealment materials.
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。
Vast.ai CLI to manage GPU instances, volumes, serverless endpoints, and billing.
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。
Vast.ai Python SDK — high-level API for GPU instances, volumes, serverless endpoints, and billing.
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。
Set up and orchestrate multi-container Docker applications using docker-compose, including service configuration, networking, volumes, and environment management. Use when the user requests docker compose setup or provides relevant inputs for this workflow.
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。
Launch and manage Amazon EC2 instances for scalable compute. Configure AMIs, security groups, key pairs, and EBS volumes. Set up auto-scaling groups for high availability and cost optimization across availability zones.
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。
Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.
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 Estonian Health Insurance Fund annual reports for financing, service volumes, and system performance indicators.
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。
Docker Compose container orchestration and management. Manage multi-container applications, services, networks, and volumes. Use for local development, testing, and orchestration of containerized applications.
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。
Understand the mechanics of Border Gateway Protocol (BGP) Hijacking, where an attacker creatively manipulates Internet routing tables to intercept, monitor, or drop massive volumes of network traffic destined for legitimate Autonomous Systems (AS).
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。
Unity 6 lighting and visual effects guide. Use when working with lights, baked/realtime/mixed lighting, light probes, reflection probes, Adaptive Probe Volumes (APV), global illumination, Particle System, VFX Graph, or post-processing effects. Based on Unity 6.3 LTS documentation.
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。
Docker guidance — Dockerfile best practices, multi-stage builds, Compose, networking, volumes, and image security.
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。
Generates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters. Use when creating or modifying GKE deployment manifests, configuring container security contexts, setting CPU/memory resource limits, defining readiness/liveness/startup probes, mounting secrets and volumes, configuring GKE Gateway API routes, targeting Spot VMs, or deploying AI model inference workloads (vLLM, TGI, Gemma). Don't use for live cluster operations, pod troubleshooting (use gke-workload-troubleshooting), or cluster infrastructure provisioning (use gke-cluster-creation).
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。
Audits Google Cloud Filestore instances across projects for disaster recovery readiness (missing or stale backups), security access governance (overly permissive NFS export rules, 0.0.0.0/0 exposure, missing ROOT_SQUASH), and reliability compliance (Physical Zone Isolation PZI and Physical Zone Separation PZS). Use when assessing storage health posture, auditing NFS export permissions, identifying unprotected file shares, or validating zone failure domains. Don't use for Cloud Storage buckets, Persistent Disk, or NetApp Volumes.
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。
Manages GKE storage, including PVCs, PersistentVolumes, Filestore, and GCS FUSE. Use when configuring GKE storage, creating PVCs, or setting up GCS FUSE on GKE. For diagnosing storage failures (volume attach/mount errors, disk performance/node storage pressure, or Cloud Storage FUSE OOM), use the gke-storage-troubleshooting skill instead. Don't use for database administration or replication strategies outside volume provisioning context.
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。
Diagnoses GKE persistent-storage failures — volume attach/mount errors (Regional PD on optimized VMs, fsGroup mount timeouts), disk-performance and node storage-pressure issues, slow-disk Pod-creation failures, volume-expansion problems, Local SSD / Hyperdisk Storage Pool creation errors, and Cloud Storage FUSE OOM. Use when Pods are stuck in ContainerCreating, volumes fail to attach or mount, or nodes report storage pressure. Don't use for routine storage provisioning or StorageClass/PVC authoring (see the gke-storage skill).
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。