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This skill provides a shared decision-making framework for selecting second-line therapies in patients with ACTH-dependent Cushing's syndrome who have persistent hypercortisolism after transsphenoidal surgery or for whom surgery is not feasible. Clinical triggers include "failed TSS", "non-curative pituitary surgery", "persistent UFC elevation post-op", and "surgery contraindicated".
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This skill suggests pituitary-directed medical treatments (e.g., cabergoline, pasireotide) for patients with Cushing's disease who are not surgical candidates or have persistent disease after transsphenoidal surgery. Use when a CD patient cannot undergo surgery or has residual disease post-TSS; triggers include "not a surgical candidate", "persistent disease after TSS", "ongoing hypercortisolism despite prior surgery".
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This skill suggests administering a glucocorticoid antagonist (e.g., mifepristone) in patients with Cushing's disease who have diabetes or glucose intolerance and are not surgical candidates or have persistent disease after transsphenoidal surgery. Consider when encountering persistent hypercortisolism after TSS, contraindications to surgery, or comorbid diabetes/glucose intolerance requiring medical control.
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Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
中文简介正在准备中。当前显示原文说明。
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
中文简介正在准备中。当前显示原文说明。
Project-orientation workflow (/orient): installs predicate's enforcement into a target project, maps its structure and goal, and authors the persistent conditioning layer (AGENTS.md goal-hierarchy) so every subsequent walk is anchored and gated. Trigger when: - Onboarding a new project into predicate for the first time. - Refreshing an existing project's AGENTS.md hierarchy against the current state of the repository (re-run = refresh). - Prompt contains: /orient, orient workflow, onboard project, project orientation, AGENTS.md hierarchy, persistent conditioning layer.
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SharedPreferences (v2.5.5) for Flutter providing simple persistent key-value storage for non-sensitive user settings and app preferences. Use this skill when storing user preferences (theme mode, language selection, font size), app settings and configuration, feature flags or A/B test assignments, simple cache data, onboarding completion status, last selected values (filters, sort options), user consent flags, or any non-sensitive data that survives app restarts. Supports String, int, double, bool, and StringList types. NOT suitable for storing tokens, passwords, API keys, or any sensitive/encrypted data (use flutter_secure_storage instead). Ideal for quick persistent storage without database overhead.
中文简介正在准备中。当前显示原文说明。
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
中文简介正在准备中。当前显示原文说明。
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
中文简介正在准备中。当前显示原文说明。
Model Context Protocol interface to the memB persistent agent memory layer. Use when an agent needs to add, search, list or delete persistent memories locally and offline. Exposes add_memory, search_memory, list_memories and delete_memory.
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Expert Core Data guidance (iOS/macOS): stack setup, fetch requests & NSFetchedResultsController, saving/merge conflicts, threading & Swift Concurrency, batch operations & persistent history, migrations, performance, and NSPersistentCloudKitContainer/CloudKit sync.
中文简介正在准备中。当前显示原文说明。
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
中文简介正在准备中。当前显示原文说明。
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
中文简介正在准备中。当前显示原文说明。
Apple データ永続化・データフロー・ネットワーク・ユーティリティリファレンス。SwiftData / Core Data / Foundation / Combine。 @Model, ModelContainer, ModelContext, @Query, Predicate, FetchDescriptor, SectionedResults, ResultsObserver, NSManagedObject, NSFetchRequest, NSFetchedResultsController, NSPersistentContainer, NSPersistentCloudKitContainer, NSStagedMigrationManager, URLSession, JSONDecoder, JSONEncoder, Publisher, sink, Future, AsyncPublisher, @Published, AnyCancellable
中文简介正在准备中。当前显示原文说明。
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
中文简介正在准备中。当前显示原文说明。
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
中文简介正在准备中。当前显示原文说明。
Design, critique, set, create, activate, or run durable Codex goals for persistent or long-running objectives. Use when the user says "set a goal", "start a goal", "activate goal mode", "persistent goal", "long-running objective", "goal tree", or asks for a goal with verifiers, durable state, approval gates, completion proof, bounded delegation, or parent/child subagent goals.
中文简介正在准备中。当前显示原文说明。
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
中文简介正在准备中。当前显示原文说明。
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
中文简介正在准备中。当前显示原文说明。
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
中文简介正在准备中。当前显示原文说明。
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
中文简介正在准备中。当前显示原文说明。
Tracks complex, multi-session work using the Beads issue tracker and dependency graphs, and provides persistent memory that survives conversation compaction. Use when work spans multiple sessions, has complex dependencies, or needs persistent context across compaction cycles. Trigger with phrases like "create task for", "what's ready to work on", "show task", "track this work", "what's blocking", or "update status".
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通过持续追问细化计划或设计，并在同一段对话中记录设计决策、整理术语表。适合希望边讨论方案、边完成相关文档的人。
通过持续深入的提问，帮助你重新审视计划或设计。它调用相关的grilling技能，开启对话，让你在回答问题的过程中逐步明确想法。