“performance”的搜索结果

Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.

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Performance regression detection using the browse daemon. Establishes baselines for page load times, Core Web Vitals, and resource sizes. Compares before/after on every PR. Tracks performance trends over time. Use when: "performance", "benchmark", "page speed", "lighthouse", "web vitals", "bundle size", "load time". (gstack) Voice triggers (speech-to-text aliases): "speed test", "check performance".

中文简介正在准备中。当前显示原文说明。

Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.

中文简介正在准备中。当前显示原文说明。

Profiles DAG execution performance including latency, token usage, cost, and resource consumption. Identifies bottlenecks and optimization opportunities. Activate on 'performance profile', 'execution metrics', 'latency analysis', 'token usage', 'cost analysis'. NOT for execution tracing (use dag-execution-tracer) or failure analysis (use dag-failure-analyzer).

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Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.

中文简介正在准备中。当前显示原文说明。

Apply systematic performance optimization techniques when writing or reviewing code. Use when optimizing hot paths, reducing latency, improving throughput, fixing performance regressions, or when the user mentions performance, optimization, speed, latency, throughput, profiling, or benchmarking.

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Performance optimization and measurement for .NET applications. Navigation skill covering Span, ArrayPool, memory management, benchmarking, profiling, Native AOT, and optimization patterns. For building high-performance applications. Keywords: performance, optimization, span, arraypool, benchmarking, profiling, memory, gc, aot, native-aot

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Defines measurable performance budgets for bundle size, API latency, database queries, and render times. Provides enforcement strategies and monitoring plans. Use for "performance budgets", "performance monitoring", "web vitals", or "optimization targets".

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测量OpenClaw测试和插件验证的耗时与内存使用，调查模块加载及启动过程中的原因，在保留测试验证范围的同时改进，并比较变更前后的数值。

• 调查测试缓慢和模块加载开销
• 减少插件验证耗时和内存使用
• 调查测试期间的内存增长

通过能检测具体症状的测试或脚本，调查难以复现的故障和性能下降。缩小失败条件，验证多个原因假设，完成修复后检查原始复现流程及防止复发的测试。

• 调查难以复现的错误
• 查找处理速度下降的原因
• 重复验证间歇性故障

Build a shared animation foundation for React and Next.js with motion/react. Define reusable timing and spring settings, respect reduced-motion preferences, adapt to device performance, and align initial animation states with server-rendered content.

中文简介正在准备中。当前显示英语简介。

• Standardize animation settings across components
• Define reusable spring animation presets
• Respect users' reduced-motion preferences

协助筛选承运商、协商运价、组织招标、评估绩效及分配货物。以美国运输实务为基础，结合成本、配送质量和运力，梳理签约与续约决策。

• 审核新的承运商
• 准备运输业务招标
• 协商运价和燃油附加费

帮助使用Compose为Android、iOS、Desktop和Web构建共享界面，整理状态与操作事件，实现导航和主题，并改善重组与列表渲染性能。

• 在多个平台共享界面
• 整理界面状态与操作事件
• 实现页面和对话框导航

将反复交给AI的任务整理为可复用技能，也可测试和改进已有技能。通过比较输出、收集用户意见和查看性能指标，修改技能指令及调用条件。

• 将重复任务整理为可复用技能
• 根据用户意见改进已有技能
• 比较使用与不使用技能的结果

在修改代码前调查原因不明的故障、间歇性异常和性能下降，区分实测症状与推测，依据证据筛选原因假设，并报告原因及其依据。

• 调查原因不明的故障
• 查找间歇性异常的原因
• 定位性能下降的原因

在真实浏览器中验证页面显示与操作，检查错误、网络通信和加载速度，并比较修复前后的截图、确认无障碍支持。

• 排查布局与样式问题
• 检查浏览器错误与API通信
• 比较修复前后的页面

将项目质量标准及其数值、理由和检查方法写入文档，并从差异中检查跳过测试、抑制警告或降低门槛的改动，维持智能体开发质量。

• 制定智能体开发的质量标准
• 选择覆盖率与性能目标
• 发现跳过测试或抑制警告

调查并修复 Paperclip 中缓慢的 PostgreSQL 查询，在本地复现问题，比较修复前后的速度、结果和权限范围，并整理为通过测试、可供审查的拉取请求。

• 调查疑似由数据库引起的响应延迟
• 降低频繁执行的查询负载
• 比较修复前后的速度与结果

Improve the MCP server that connects claude-flow v3 to tools. It guides connection reuse, faster tool lookup, request distribution, and communication changes, with monitoring to evaluate response times, errors, memory use, and cache performance.

中文简介正在准备中。当前显示英语简介。

• Analyze slow MCP startup and tool responses
• Reuse connections and clean up idle ones
• Improve tool lookup and distribute requests

Turn a repeatable workflow into a skill, or improve an existing one through test prompts and feedback. Compare results with and without the skill, review performance measurements, and refine its description so it triggers appropriately.

中文简介正在准备中。当前显示英语简介。

• Turn a recurring workflow into a reusable skill
• Improve an existing skill using feedback
• Compare outputs with and without a skill

Review code for security flaws, bugs, performance problems, maintainability, and test quality. Produce structured feedback with issue locations, likely impact, suggested fixes, positive observations, and a recommendation on whether changes are ready to merge.

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• Reviewing a pull request before merging
• Investigating bugs and edge cases
• Checking security flaws and dependencies

Analyze slow development workflows and agent coordination using execution times, resource use, dependencies, and communication patterns. Identify bottlenecks, prioritize causes, and build an improvement plan covering parallel work, caching, or resource allocation.

中文简介正在准备中。当前显示英语简介。

• Investigate slow test execution
• Find unnecessary waits in task sequences
• Reduce communication delays between agents

Measure throughput, response times, and resource use for systems and groups of agents. Use baseline comparisons, load tests, and performance criteria to identify slowdowns, assess behavior under pressure, and summarize results with recommendations.

中文简介正在准备中。当前显示英语简介。

• Comparing performance before and after a code change
• Finding system limits through increasing load
• Checking coordination and load balancing across agents

Improve the MCP server that connects claude-flow v3 to tools. It guides connection reuse, faster tool lookup, request distribution, and communication changes, with monitoring to evaluate response times, errors, memory use, and cache performance.

中文简介正在准备中。当前显示英语简介。

• Analyze slow MCP startup and tool responses
• Reuse connections and clean up idle ones
• Improve tool lookup and distribute requests