「state」の検索結果

Bu Flutter template'inde uctan uca yeni feature iskelesi kurar — lib/feature/<ad>/ klasor yapisi, Freezed state + Cubit, StatelessWidget ya da StatefulWidget+ViewModel view, BlocProvider yerlesimi (global state_initialize mi lokal mi), TypedGoRoute, LocaleKeys cevirileri, AppPaddings/textTheme/colorScheme token'lari ve zorunlu <feature>.md modul dokumani. Kullanici "yeni feature ekleyelim", "su sayfayi projeye gore yaz", "cubit + state + view kur", "feature iskeleti cikar", "scaffold a feature" dediginde kullan.

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。

Kelly Real Estate Intel: App-in-Skill daily industry intelligence cockpit for real estate and property agencies (Busabase App-in-Skill). Use when the user asks about real estate, property agencies, listings, transactions, competitor ads, client follow-up, or a地产/中介 intelligence workflow. Prepares news/source signals, buyer-intent interpretation, approved sales actions, and channel drafts for review before any external handoff.

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。

Playwright の storage_state.json を生成・管理してログイン情報を固定する実装を行う際に使用。「ログイン状態を保存したい」「storage_state.json を作りたい・再生成したい」「Cookie が切れた」「セッションが切れた」「認証を自動化したい」という依頼で起動。生成スクリプト実装 → ユーティリティー実装 → 自動化スクリプトへ組み込み の流れで進める。

Use this skill when the user asks about state-specific trucking taxes BEYOND IFTA — NY Highway Use Tax (HUT), KY Kentucky Intrastate Tax (KIT), Oregon Weight-Mile Tax, New Mexico Weight-Distance Tax, Connecticut Highway Use Fee, or other state-level road-use taxes for commercial vehicles. Covers thresholds, rates, registration, filing cadence, and how these differ from IFTA. Reference state DOT/DOR resources.

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 this skill when the user asks the cost of pulling a Motor Vehicle Record (MVR) in a specific state, or wants to compare MVR fees across multiple states, or is budgeting annual compliance costs for a multi-state fleet. Reference the canonical fee table below; flag that fees change (re-verify with state DMV before annual budget planning).

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。

Agent fallback for CCSPlayerStateDeathAnim_vtable (auto-generated, category: func). Locate CCSPlayerStateDeathAnim_vtable in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CCSPlayerStateDeathAnim_vtable, CCSPlayerStateDeathAnim_vtable

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。

Agent fallback for CCSBot_SetState (auto-generated, category: func). Locate CCSBot::SetState in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CCSBot_SetState, CCSBot::SetState

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。

Agent fallback for CBaseEntity_NetworkStateChanged-inlined (auto-generated, category: vfunc). Locate CBaseEntity::NetworkStateChanged in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_NetworkStateChanged-inlined, CBaseEntity::NetworkStateChanged

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。

Agent fallback for CBaseEntity_NetworkStateChangedLog (auto-generated, category: vfunc). Locate CBaseEntity::NetworkStateChangedLog in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_NetworkStateChangedLog, CBaseEntity::NetworkStateChangedLog

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。

Agent fallback for CBaseEntity_NetworkStateChanged-noinline (auto-generated, category: vfunc). Locate CBaseEntity::NetworkStateChanged in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_NetworkStateChanged-noinline, CBaseEntity::NetworkStateChanged

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。

Agent fallback for CBasePlayerController_SetConnectedState (auto-generated, category: func). Locate CBasePlayerController::SetConnectedState in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBasePlayerController_SetConnectedState, CBasePlayerController::SetConnectedState

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。

Locate BuyState::m_doneBuying, exposed as BuyState::DoneBuying, in the loaded CS2 server binary. Emit a structmember offset, never a function or vtable slot. Trigger: BuyState_DoneBuying, BuyState::DoneBuying

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。

Locate BuyState::m_isInitialDelay, exposed as BuyState::InitialDelay, in the loaded CS2 server binary. Emit a structmember offset, never a function or vtable slot. Trigger: BuyState_InitialDelay, BuyState::InitialDelay

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 State pattern for PHP 8.5. Creates state machines with context, state interface, and concrete states for behavior changes. Includes unit tests.

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。

Jotai state management patterns for OneKey. Use when working with atoms, global state, feature state, or context atoms. Triggers on jotai, atom, state, globalAtom, contextAtom, store, persistence, settings.

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。

React 18/19の画面部品を実装・レビューする際に、状態管理やデータ取得、フォーム、読み込み・エラー表示、アクセシビリティの設計を支えるスキル。

• Reactの画面部品をレビューしたいとき
• 共有する状態の置き場所を決めたいとき
• フォームとデータ取得の設計

Flutter/Dartのコードを、状態管理ライブラリごとの慣習に沿ってレビューします。画面構成や非同期処理から、性能・テスト・アクセシビリティ・安全性まで点検します。

• Flutterアプリの公開前レビュー
• 状態管理の設計を確認したいとき
• 不要な画面再構築を調べたいとき

ReactやNext.jsの画面を実装・レビューするために、部品の組み立て、状態管理、データ取得、表示速度、フォームや操作性の改善パターンを示すスキル。

• Reactの部品を再利用したいとき
• 状態管理とデータ取得の見直し
• 長い一覧の表示を軽くしたいとき

Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid. Also use for everyday subjects with steps, parts, relationships, or states: a leave or travel plan, an application or approval process, a back-and-forth such as renting, where money or documents go, or where an application or order stands. Not for numeric charts or dashboards.

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。

Master modern Angular state management with Signals, NgRx, and RxJS. Use when setting up global state, managing component stores, choosing between state solutions, or migrating from legacy patterns.

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。

State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8B on HuggingFace.

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。

Choose Table v9 state ownership, atoms, initialization, updates, and resets. Load for controlled slices or state coordination; use the adapter state skill for reactive reads.

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。

Owns the Ideal State Artifact — the primitive holding a project or task's articulated ideal state; scaffolds, interviews, grills a half-formed idea into shape via checkpointed discovery, scores completeness, reconciles feature excerpts to master, seeds from a repo, and appends decisions/changelog/verification across a locked seventeen-section order. USE WHEN ISA, ISC, ideal state, ideal state criteria, project specification, hill-climb, articulating done, fog, not yet specified, grill me, discovery interview. NOT FOR creating new skills (use CreateSkill).

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。

State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8B on HuggingFace.

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。