1,116 件 ・ 関連度順
概要と使いどころ
Use when working with Crossplane — crossplane Kubernetes-native infrastructure management. Covers managed resources, compositions, provider configurations, composite resource definitions (XRDs), claims, and provider health. Use when managing Crossplane resources, debugging provisioning failures, inspecting compositions, or auditing cloud resource status.
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 working with Aws Proton — aWS Proton service and environment template management. Covers environment templates, service templates, service instances, pipeline management, component inspection, and template sync configuration. Use when managing Proton environments, deploying services from templates, inspecting provisioned resources, or auditing template versions.
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 working with Aws Sso — aWS IAM Identity Center (SSO) management. Covers SSO instance configuration, permission sets, account assignments, user and group provisioning, session policies, and access auditing. Use when managing single sign-on access to AWS accounts, reviewing permission sets, auditing account assignments, or configuring identity source integration.
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 working with Aws Codedeploy — aWS CodeDeploy application and deployment management. Covers applications, deployment groups, deployment history, deployment configurations, instance health, target revisions, and rollback settings. Use when inspecting deployments, debugging failed deployments, reviewing deployment strategies, or auditing deployment group configurations.
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 working with Aws Lambda — aWS Lambda function analysis, invocation metrics, cold start analysis, layer management, and concurrency tracking. Covers function configuration review, error rate analysis, duration percentiles, provisioned concurrency utilization, and deployment package 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 when working with Gcp Cloud Run — google Cloud Run service management, revision traffic splitting, scaling configuration, concurrency tuning, and container diagnostics via gcloud CLI.
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 working with Azure Container Apps — azure Container Apps revision management, scaling rules, Dapr integration, ingress configuration, and environment health via Azure CLI.
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。
Modify or debug s6 services in the OpenAmer Docker image.
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 Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in browsers and server-side runtimes (Node.js, Bun, Deno) with WebGPU/WASM using pre-trained models from Hugging Face Hub.
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 MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
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。
Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, model selection/leaderboards and model persistence. Use for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
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。
NVIDIA DeepStream SDK development guidance for Python pyservicemaker pipelines, video analytics, TensorRT integration, and streaming inference workflows.
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。
Data scientist v3 — ML, deep learning, NLP, CV, experimentation, MLOps
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。
Creative director v2 — brand vision, campaigns, team leadership, client presentations, storytelling
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。
Expert en budgétisation et prévisions (FP&A, variance analysis, rolling forecasts, DZ)
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。
Expert en agents avec boucle humaine (workflows d'approbation, escalade, intégration feedback, supervision)
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。
Navigate the gap between what you can see and what you can make. The Ira Glass gap. Use when a designer is frustrated by the distance between their taste and their output, when mentoring someone through a creative plateau, or when someone is considering quitting because their work doesn't match their vision.
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。
Decomposes a large implementation plan into small-model-sized tasks executed by supervised worker agents (e.g. Haiku) in dependency-ordered parallel waves, with a plan-first approval gate inside every task, file-based state for context compaction, and a hard escalation ladder. Use when a master plan or multi-workstream feature is too large for one session and should be executed cheaply by many small agents under frontier-model supervision.
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。
Xcode 26 and Apple platform update notes with a focus on Liquid Glass, Foundation Models Framework, and Apple Intelligence. Use when asked to explain, summarize, compare, or implement Xcode 26 era framework changes across SwiftUI, UIKit, AppKit, Foundation, App Intents, StoreKit, MapKit, WidgetKit, visionOS, or Swift language features.
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。
Official skill for XcodeBuildMCP. Use when doing iOS/macOS/watchOS/tvOS/visionOS work (build, test, run, debug, log, UI automation).
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 bundle IDs, capabilities, signing certificates, provisioning profiles, and encrypted signing sync with the asc cli. Use when onboarding a new app, rotating signing assets, or sharing them across a team.
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。
Official skill for the XcodeBuildMCP CLI. Use when doing iOS/macOS/watchOS/tvOS/visionOS work (build, test, run, debug, log, UI automation).
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 shared real-time experiences using GroupActivities and SharePlay. Use when implementing shared media playback, collaborative app features, synchronized game state, or any FaceTime/iMessage-integrated group activity on iOS, macOS, tvOS, or visionOS.
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 multiplayer spatial board games using TabletopKit on visionOS. Use when building tabletop game experiences with boards, pieces, cards, and dice, managing player seats and turns, synchronizing game state over FaceTime with Group Activities, rendering game elements with RealityKit, or implementing piece snapping and physics on a virtual table surface.
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。