“concurrent”的搜索结果

Swift 6.2 Approachable Concurrency — デフォルトでシングルスレッド、明示的なバックグラウンドオフロードに@concurrent、メインアクター型の分離適合。

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Performance optimization guidelines for OneKey React/React Native applications. Use when optimizing app performance, fixing UI freezes/lag, reducing re-renders, handling concurrent operations, or analyzing performance bottlenecks. Triggers on performance, optimization, optimize, slow, lag, freeze, hang, jank, stutter, memory, leak, concurrent, batching, batch, memoization, memo, bridge, windowSize, contentVisibility, FlashList, re-render, fps, tti, bundle.

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Use when you need to apply Java concurrency best practices — including thread safety fundamentals, ExecutorService thread pool management, concurrent design patterns like Producer-Consumer, asynchronous programming with CompletableFuture, immutability and safe publication, deadlock avoidance, virtual threads and structured concurrency, scoped values, backpressure, cancellation discipline, and observability for concurrent systems. Part of the skills-for-java project

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用于规划生产数据库的结构变更和现有数据迁移，整理列与索引的添加、分阶段切换及恢复步骤，帮助在变更时考虑停机时间和数据库锁。

• 为生产数据表添加列或索引
• 分批更新大量数据
• 在不中断应用的情况下替换列

使用Swift的actor管理共享数据访问，将内存缓存与JSON文件存储结合，设计避免并发访问时数据竞争的存储层，并提供与ViewModel配合的示例。

• 为iOS和macOS应用保存本地数据
• 设计以离线使用为主的存储层
• 替换基于锁的同步代码

用于编写、审查和重构Rust代码，梳理所有权、错误处理、类型设计与并发处理，在兼顾安全性、性能和可维护性的同时减少不必要的复制。

• 审查Rust的所有权与借用
• 改进遇到错误就终止的处理
• 设计Rust应用的类型与模块

通过 Claude DevFleet 将开发工作分配给多个 Claude Code 智能体，在独立工作目录中并行执行，并管理任务依赖、进度以及变更、测试和错误报告。

• 将开发计划拆分为带依赖关系的任务
• 在独立工作目录中并行开发
• 检查多个开发任务的进度

审查整个代码库或指定范围，检查缺陷、安全风险、负载承受能力、测试缺失和多余代码，按重要程度报告，并附具体问题场景及最小修复建议。

• 检查接手代码的质量
• 排查多用户使用时的风险
• 找出多余代码和依赖项

Extract website content into Markdown, HTML, or plain text with Scrapling. Handle JavaScript-rendered pages and anti-bot challenges, or write Python crawlers that follow links, collect structured data, and resume interrupted runs.

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• Save article text as Markdown
• Extract content loaded by JavaScript
• Retrieve pages with anti-bot protections

Check whether an application is ready for production by finding unfinished code and testing real database and API connections. Review performance under load, authentication, environment settings, and deployment behavior to identify gaps before release.

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• Finding unfinished code before release
• Testing real database and API integrations
• Checking performance under concurrent requests

Coordinate gossip protocols, where nodes pass information among peers, for distributed systems. The skill covers update propagation, state synchronization, conflicting changes, failure detection, and tuning communication so nodes eventually reach a consistent state.

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• Designing update propagation between distributed nodes
• Synchronizing state and resolving concurrent changes
• Managing node membership and detecting failures

Helps implement centralized settings management in Java with Azure App Configuration. Covers environment-specific settings, feature flags that control feature availability, and snapshots that preserve settings at a particular point in time.

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• Manage settings separately for development and production
• Configure feature flags for gradual rollouts
• Preserve release settings in snapshots

Implement Azure Cosmos DB data operations in JavaScript or TypeScript with @azure/cosmos. Covers creating, querying, updating, and deleting documents, plus bulk operations, container setup, and checks that prevent concurrent changes from overwriting each other.

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• Implement document creation, retrieval, updates, and deletion
• Build filtered queries with pagination
• Process multiple document operations in bulk

Modernize existing React applications through version upgrades and migration from class components to Hooks, functions for state and lifecycle behavior. Includes React 18 rendering APIs, grouped state updates, and features for prioritizing interface updates.

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• Plan an upgrade from React 16 through React 18
• Rewrite class components with Hooks
• Extract shared logic into custom Hooks

Break a large development brief into ordered goals and save plans, progress events, blockers, and evidence in the repository. Coordinate Claude Code sessions through handoff instructions, with final completion requiring cleanup, verification, and code review evidence.

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• Tracking development work across Claude Code sessions
• Managing ordered goals with attempts and evidence
• Requiring cleanup, verification, and review before completion

Calculate how to divide serving memory between recurrent state and KV cache, two memory pools used by hybrid models. Use startup logs and workload settings to recommend a ratio, estimate concurrency, and identify the limiting pool.

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• Choosing a memory ratio for a hybrid model
• Investigating limits on concurrent requests
• Recalculating memory allocation for context length

Approach engineering problems by checking assumptions, defining performance constraints, and choosing suitable tools before implementation. The skill guides algorithm analysis, complete code, performance optimization, and correctness checks through tests, assertions, or formal verification, meaning mathematical checks of correctness.

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• Checking algorithm complexity and design assumptions
• Choosing languages for numerical or distributed systems
• Implementing concurrent code with explicit error handling

Plan and, after explicit approval, run controlled checks of software behavior. Compare baseline and failure cases, repeat sensitive measurements, and report observed results with execution context, comparison conditions, and the status of temporary evidence files.

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• Investigating a suspected runtime regression
• Checking retries, interruptions, and concurrent operations
• Comparing latency or cost under matched conditions

Assess GitHub issues and pull requests by checking demonstrated user needs, existing alternatives, compatibility, and maintenance costs. Produce an evidence-based maintainer recommendation through code and document inspection, without running tests or examples.

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• Deciding whether a pull request merits merging
• Checking whether existing features already solve an issue
• Comparing competing fixes for the same problem

Investigate difficult bugs by adding temporary logs to the actual execution path and reproducing the reported behavior. Analyze JSONL logs, which store one structured event per line, then fix the cause, verify regression tests, and remove debugging artifacts.

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• Investigating bugs that occur only during manual use
• Tracing event order in streaming or concurrent operations
• Checking whether passing tests cover the reported bug

Organize multi-step research and project work with Markdown files for plans, findings, and progress. Gemini hooks, automatic actions at session events, surface planning context so the agent can resume from saved records.

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• Resuming research after a break
• Tracking project phases and decisions
• Recording errors and test results

Use German-language guidance to organize multi-step agent work in Markdown files. Store plans, findings, and progress by task, then revisit those records to resume research, review decisions, and track unfinished phases.

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• Managing research with German-language guidance
• Recovering task context after a break
• Separating plans for concurrent tasks

Keep plans, research findings, and progress in Markdown files for complex agent work. Separate task plans and automatic planning reminders help the agent recover saved context, track decisions, and identify the next action.

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• Resuming long research tasks
• Tracking phases and the next action
• Separating plans for concurrent tasks

Build live backends that store data, broadcast changes, and run handlers automatically. Covers subscription authorization, connection events, and atomic updates, which apply changes safely when multiple writers act at once.

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• Broadcasting live data changes to subscribers
• Checking permissions before a subscription starts
• Tracking connections and disconnections