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概要と使いどころ
This skill recommends computed tomography (CT) as the initial imaging modality for primary aldosteronism (PA) evaluation in Japan, citing its accessibility and comparable performance to MRI. It is triggered when a clinician orders imaging for suspected PA and asks 'What imaging should I start with?' or seeks a cost-effective initial 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。
Expert-level biomedical imaging covering X-ray, CT, MRI, ultrasound, nuclear medicine, optical imaging, and image processing for clinical and research 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。
Deploy a crouton app to Cloudflare Workers STAGING (auto-provisioning) — the DEFAULT deploy, staging only, never production. Handles the staging bootstrap (auto-creates D1+KV, syncs ids, migrates), wiring CI, routine staging deploys, and Pages→Workers migration. For production use the separate /deploy-production skill. Use when deploying any app in 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。
本番と同じ失敗を本番前に検出するためのテスト階層設計スキル。 DB方言差、実依存関係、永続化確認、timezone差、packaging整合性、 adversarial regressionをunit/integration/e2e/smoke/packagingに 適切に割り振り、PR CIで最低限の本番同等性を保証する。 Use when designing production-parity tests, closing test blind spots, building smoke suites for real dependencies, verifying persistence beyond UI success, or creating adversarial regression backlogs.
Use when working with Bandwidth — bandwidth communications platform management for voice calls, SMS/MMS messaging, phone number ordering, and 911 services. Use when managing phone number inventory, analyzing message delivery, monitoring call quality, reviewing usage, or troubleshooting Bandwidth messaging and voice issues.
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 Ably — ably real-time messaging platform management covering channels, presence, connections, usage analytics, and account health. Use when monitoring active channels, analyzing connection metrics, reviewing usage quotas, managing Ably apps and keys, or troubleshooting real-time messaging issues.
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。
JavaのQuarkusサービスを設計・レビューするスキル。REST API、Panacheでのデータアクセス、Camelでのメッセージ連携や非同期処理の実装パターンを示します。
公開後のURLを点検し、ページやAPIの応答、配信ファイル、継続通信、表示速度の悪化を確認します。単発チェック、一定期間の監視、本番と検証環境の比較に対応します。
Queries and downloads public cancer imaging data from NCI Imaging Data Commons. Supports IDC collection discovery, DICOM access, radiology (CT, MR, PET) and pathology AI datasets, metadata SQL, visualization, licensing, and citations. Uses public metadata and download routes without authentication; optional BigQuery and Google Healthcare routes require Google 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。
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy.
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。
When the user wants to define their ideal customer profile, position an AI product, build messaging architecture, or validate product-market fit. Also use when the user mentions 'ICP,' 'ideal customer profile,' 'positioning,' 'PMF,' 'product-market fit,' 'messaging,' 'buyer persona,' 'enrichment signals,' 'market positioning,' or 'competitive positioning.' This skill covers market positioning, ICP definition, messaging architecture, and PMF validation for AI-native products. Do NOT use for technical implementation, code review, or software architecture.
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。
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.
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。
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy.
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。
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).
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。
Azure Web PubSub Service SDK for Python. Use for real-time messaging, WebSocket connections, and pub/sub patterns. Triggers: "azure-messaging-webpubsubservice", "WebPubSubServiceClient", "real-time", "WebSocket", "pub/sub".
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 the user asks to "plan launch pricing", "design pricing tiers / packaging", or "set up a launch discount / early-bird offer"; produces a launch pricing and packaging plan — tier structure and naming, a value-to-price map aligned to the message house, a launch-offer ladder with a true deadline reason, beta / early-adopter pricing with a post-launch graduation path, and guarantee / refund terms — with every price claim and offer term submitted to memory/events/claims.ndjson. Not for the canonical offer / claim record — use offer-claims-registry; not for paid-newsletter subscription economics — use newsletter-monetization-planner; not for ad bidding — use bid-strategy-planner. 发布定价/梯度打包/早鸟优惠/保证设计
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。
Onboards RCS Business Messaging and Notify OTP via the pinpoint-sms-voice-v2 AWS CLI. Covers creating a branded RCS test agent (logo, banner, rich cards, suggested replies), adding verified testers, and sending/receiving the first RCS message; and configuring AWS End User Messaging Notify to send one-time-passcode (OTP) verification codes through AWS-managed phone numbers without buying a number or completing carrier registration. Also discovers which registration type a country requires from live API definitions and runs the universal registration lifecycle (create, derive fields, fill, submit, recover from denial, resubmit) shared by 10DLC, toll-free, short code, sender ID, RCS country launch, and Notify tier upgrade. Applicable to RCS agent setup, RCS message send/receive, Notify OTP configuration, verification-code delivery, registration requirements by country, and registration submission. Does not cover WhatsApp (see aws-social-messaging).
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。
Configure Apollo.io multi-environment setup. Use when setting up development, staging, and production environments, or managing multiple Apollo configurations. Trigger with phrases like "apollo environments", "apollo staging", "apollo dev prod", "apollo multi-tenant", "apollo env config".
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。
Design products and pricing around validated willingness to pay, from Ramanujam & Tacke's "Monetizing Innovation". Use when the user mentions "pricing", "how much should we charge", "willingness to pay", "pricing page", "packaging", "freemium vs free trial", "are we leaving money on the table", "nobody buys at this price", "price increase", or "good-better-best". Also trigger when designing or auditing pricing and packaging, validating willingness to pay before building, segmenting customers by value, or choosing between subscription, usage-based, and freemium models. Covers price-before-product, willingness-to-pay talks, the four failures (feature shock, minivation, hidden gem, undead), leader/filler/killer packaging, and behavioral pricing. For offers and guarantees, see hundred-million-offers. For what customers value, see jobs-to-be-done.
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。
Establishes what a product is understood to be, for whom, and instead of what — then turns that into the messaging every other surface inherits. Use this when messaging is inconsistent across channels, when prospects misunderstand what the product does, when entering a new segment, when competitors are being compared against you unfavorably, or before any campaign, launch, or site rewrite.
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。
Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests f...
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。
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).
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 3-5 messaging variants for a value proposition, design structured A/B tests, and analyze results to determine which framing resonates most with ICP. Tests can run via LinkedIn organic posts, cold email subject line splits, or both. Pure reasoning for variant generation and analysis — the user deploys the tests through their own tools. Use when a team can't decide between messaging angles and needs data, not opinions.
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。
Read, write, and manipulate medical imaging data (DICOM, NIfTI, NRRD) in MATLAB. Covers Image Processing Toolbox functions (dicomreadVolume, niftiread, dicomContours, dicomanon) and Medical Imaging Toolbox enhanced APIs (medicalVolume, medicalImage, medicalref3d, extractSlice, updateOrientation). Use when reading medical files, listing DICOM series, extracting spatial referencing, changing orientation, working with RT structures, or anonymizing DICOM data. Some features require Medical Imaging Toolbox — see skill body and references for details.
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。