“state”的搜索结果

Researches state-specific charitable solicitation filing requirements keyed to gross revenue, producing a citation-backed state-by-state compliance matrix of audit thresholds, financial-statement tiers, filing fees, and due dates. Use when building charity compliance matrices, researching nonprofit filing thresholds, charitable solicitation registration renewals, comparing state audit requirements for 501(c)(3) organizations, or when the user mentions audit threshold, review threshold, compilation requirement, charity filing deadline, or multi-state nonprofit compliance.

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Segments the genome into chromatin states from combinatorial histone modification and chromatin factor ChIP-seq data. Uses ChromHMM (multivariate HMM on binarized signal, v1.27), Segway (Dynamic Bayesian Network on continuous signal), EpiSegMix (flexible-distribution HMM with duration modeling, 2024), EpiLogos (multi-biosample visualization), IDEAS (cell-type-aware joint), and full-stack ChromHMM (Vu Ernst 2022) for cross-cell-type segmentations. Handles state-count selection (15 vs 18 vs 25 states), binarization choice, OverlapEnrichment / NeighborhoodEnrichment downstream analysis, and cross-biosample integration. Use when learning chromatin states from a histone mark panel, characterizing learned states by genomic feature enrichment, or comparing chromatin landscapes across cell types.

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Android アプリ開発 (Kotlin) の推奨アーキテクチャリファレンス。 Jetpack, androidx, UI layer, Domain layer, Data layer, state holder, UDF, SSOT, オフラインファースト, モジュール化, ViewModel, viewModelScope, SavedStateHandle, Lifecycle, repeatOnLifecycle, collectAsStateWithLifecycle, LiveData, Hilt による DI, Paging 3 によるページング処理。

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Segments the genome into chromatin states from combinatorial histone modification and chromatin factor ChIP-seq data. Uses ChromHMM (multivariate HMM on binarized signal, v1.27), Segway (Dynamic Bayesian Network on continuous signal), EpiSegMix (flexible-distribution HMM with duration modeling, 2024), EpiLogos (multi-biosample visualization), IDEAS (cell-type-aware joint), and full-stack ChromHMM (Vu Ernst 2022) for cross-cell-type segmentations. Handles state-count selection (15 vs 18 vs 25 states), binarization choice, OverlapEnrichment / NeighborhoodEnrichment downstream analysis, and cross-biosample integration. Use when learning chromatin states from a histone mark panel, characterizing learned states by genomic feature enrichment, or comparing chromatin landscapes across cell types.

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Segments the genome into chromatin states from combinatorial histone modification and chromatin factor ChIP-seq data. Uses ChromHMM (multivariate HMM on binarized signal, v1.27), Segway (Dynamic Bayesian Network on continuous signal), EpiSegMix (flexible-distribution HMM with duration modeling, 2024), EpiLogos (multi-biosample visualization), IDEAS (cell-type-aware joint), and full-stack ChromHMM (Vu Ernst 2022) for cross-cell-type segmentations. Handles state-count selection (15 vs 18 vs 25 states), binarization choice, OverlapEnrichment / NeighborhoodEnrichment downstream analysis, and cross-biosample integration. Use when learning chromatin states from a histone mark panel, characterizing learned states by genomic feature enrichment, or comparing chromatin landscapes across cell types.

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Use this skill to determine whether you need interstate FMCSA authority or just intrastate state authority. Covers the federal/state divide.

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Expert-level idiomatic Rust API design — the patterns that make illegal states unrepresentable and abstractions zero-cost. Type-state programming (PhantomData state machines), newtype + sealed + extension traits, typestate builders, RAII guards & Drop ordering, the interior-mutability decision tree (Cell/RefCell/Mutex/RwLock/Atomic/OnceLock), enum-driven state machines, error architecture (thiserror vs anyhow), dyn vs generic dispatch & object safety, the impl Trait / GAT / RPITIT toolbox, and Deref-for-smart-pointers (and its abuse). Use when designing a Rust library's public API, encoding invariants in the type system, choosing a dispatch or error strategy, or reviewing Rust for idiom. NOT for borrow-checker firefighting / toolchain / test-runner workflow (use rust-development-workflow), NOT for pd-console GPUI rendering/layout/panes (use gpui-rust-console), NOT for app packaging/notarization (use rust-app-distribution).

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Locate BuyState::OnUpdate in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "BuyState::OnUpdate" (symbol BuyState_OnUpdate). This is a non-virtual function - emit a byte signature (func_sig), not an offset. Locate it via cross-references, distinctive constants/strings in its body, or callers of related symbols; verify by decompilation before committing to a candidate. Trigger: BuyState_OnUpdate, BuyState::OnUpdate

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Use this skill when building or debugging URL-backed state with nuxt-ui-tools as a package consumer. Covers codecs, useQueryState, useQueryStates, dynamicQueryState, grouped state, dynamic keys, and practical query-string examples.

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Build and review SwiftUI interfaces for iOS and macOS with guidance on state management, reusable views, navigation, and rendering performance. Examples show how to organize data flow and reduce unnecessary screen updates.

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• Choosing state management for SwiftUI views
• Designing navigation with NavigationStack
• Improving list rendering performance

在编写或审查Dart和Flutter代码时，参考状态管理、页面导航、网络通信、错误处理和测试的实现模式，处理空值与异步任务，并整理应用结构。

• 为新功能选择状态管理方式
• 审查空值处理与异步代码
• 根据登录状态进行页面导航

创建用公式联动利润表、资产负债表和现金流量表的 Excel 模型，分阶段填入历史实际数据与预测假设，比较不同情景，并检查三张报表之间的一致性。

• 向财务模板填入历史实际数据
• 建立三张财务报表联动的预测
• 比较基准、乐观和悲观情景

Simulate quantum dynamics, steady states, and spectra with QuTiP 5. The skill guides solver selection and checks physical assumptions, units, state validity, and numerical convergence so local simulation results can be reviewed with their limitations.

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• Simulating quantum dynamics with environmental dissipation
• Choosing a solver for a quantum model
• Checking numerical convergence and state validity

Build Angular interfaces that handle loading, errors, and data display. This skill guides component work involving asynchronous data, which arrives after a request, and helps organize the interface states needed to present it.

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• Building loading states in Angular
• Handling errors in interface components
• Displaying asynchronously loaded data

Trace OAuth and OIDC sign-in flows in a CTF sandbox, from redirects through token exchange to application acceptance. Show where tokens become a recognized identity or permission, and preserve the smallest reproducible flow.

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• Trace sign-in redirects and callback parameters
• Inspect state, nonce, and PKCE validation
• Check how tokens become application identity or permissions

Build Storybook page stories for SigNoz by mapping API requests, display states, and URL parameters. Use msw mock responses, which simulate API replies, and controls to inspect loading, errors, permissions, and other page states.

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• Creating Storybook stories for SigNoz pages
• Switching between loading, empty, and error states
• Checking how permissions affect buttons and controls

Build Vue 3 interfaces from JSON specifications, including AI-generated layouts. The skill covers component registration, named content areas, synchronized form values, conditional visibility, validation, actions, and connections to external state management.

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• Display AI-generated JSON interfaces in Vue 3
• Build forms with synchronized values and validation
• Switch visible content based on application state

Build desktop applications with GPUI Kit, a Rust framework. Guides setup, component selection, state management, themes, and background work, and explains UI integration tests that simulate input and check component behavior.

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• Setting up a GPUI Kit desktop app
• Implementing forms and data tables
• Organizing state, events, and background tasks

Build and improve React interfaces with guidance on component structure, hooks, state management, and Server Components. Review unnecessary rendering, extract reusable logic, and implement accessible forms and loading states using established React patterns.

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• Reviewing component structure and shared state
• Investigating unnecessary rendering
• Extracting reusable custom hooks

Implement Mamba, a model architecture that processes sequences through an internal state with computation scaling linearly with input length. Covers pretrained text generation, Mamba-1 and Mamba-2 configuration, speed comparisons with Transformers, and GPU memory troubleshooting.

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• Explore models for long sequences or streaming applications
• Generate text with pretrained Mamba models
• Compare Mamba-1 and Mamba-2 configurations

Build React components, forms, and custom hooks with TypeScript. Organize state and data fetching, debug rendering problems, migrate class components, and improve performance, with type checks and component tests to validate the implementation.

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• Build React components and forms
• Design state management and data fetching
• Debug rendering issues and improve performance

Resume a project by restoring its saved context, locating checkpoints, and identifying unfinished plans. The skill presents the current status and routes work to an appropriate next action based on what it finds.

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• Resuming project work in a new session
• Finding where work was paused
• Identifying plans without completion summaries

Research employment questions about overtime, breaks, leave, worker classification, and final pay for a specific state or country. Receive an answer with cited legal sources, notes on recent changes, and issues requiring professional judgment.

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• Checking overtime and break rules for a specific state
• Reviewing whether a role qualifies for an overtime exemption
• Checking final-pay deadlines and unused leave payouts

Turn user research and complaints into a clear problem statement. Identify who is struggling, their desired outcome, barriers, root causes, constraints, and emotional impact, then summarize the problem in one sentence for team discussions or product planning.

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• Agreeing on the user problem before proposing solutions
• Writing a concise problem statement for a PRD
• Finding the underlying problem behind feature requests