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技能库 智客分类:Agent 工作流 argent-react-native-optimization

Argent React Native Optimization

优化一个反应原生应用程序,首先通过剖析来找到真正的瓶颈,再扫射机械问题. 所有业绩工作的入分. 当应用程序感觉缓慢时使用,用户会要求优化,修补回放,减少Jank,或改进起动. 为计量工作派出代表到应急-反应-内应-示意图员.

31308 安装量

官方网址:skills.sh

技能介绍

先看中文介绍;官方 description 原文单独保留,不改写 SKILL.md。

做什么

优化一个反应原生应用程序,首先通过剖析来找到真正的瓶颈,再扫射机械问题. 所有业绩工作的入场点

何时用

应用程序感觉很慢,用户要求优化,修补回放,减少Jank,或改进启动. 用于计量的紧急反应-内在宣传员的代表

代理如何加载

按 Agent Skills 渐进披露:启动时只加载 name 与 description(约 100 token);任务匹配后才读入整份 SKILL.md 正文;scripts/、references/、assets/ 仅在需要时再读。 本文件正文结构:Rules、Pipeline、Phase 1: Lint sweep、Phase 2: Semantic sweep、Phase 3: Profiling、Phase 4: Verify no regressions。

文件分析

文件分析:除 SKILL.md 外,正文引用了 references/lint-rules.md、references/semantic-checklist.md,属于带资源的技能包,这些文件按需再读。

官方 description(原文)

Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, reduce jank, or improve startup. Delegates to argent-react-native-profiler for measurement.

RulesPipelinePhase 1: Lint sweepPhase 2: Semantic sweepPhase 3: ProfilingPhase 4: Verify no regressions

来源分类:skills.sh agent-skill

SKILL.md 与 Agent 调用

官方规范 ↗
name
argent-react-native-optimization
description
Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, reduce jank, or improve startup. Delegates to argent-react-native-profiler for measurement.
  1. 发现技能客户端向 Agent 提供名称与描述目录。
  2. 匹配与调用用户指定或任务匹配后,载入 SKILL.md 指令。
  3. 按需加载按步骤读取参考文档、使用脚本与素材。
指令中引用的文件 · 2
  • references/lint-rules.md
  • references/semantic-checklist.md

以下路径提取自原文;文件是否齐全请以来源仓库中的完整目录为准。

具体调用语法与可用工具以目标 Agent 客户端为准。 查看调用机制说明 ↗

安装这个技能

Skills CLI ↗

先选择目标 Agent 和安装范围,保留技能包的附属文件,安装后检查客户端能否发现该技能。

该技能引用了附属文件,请从来源获取完整目录;仅复制 SKILL.md 可能缺少依赖。

交给 Agent 安装

复制安装指令给支持 Agent Skills 的代理,确认其中的目标目录与客户端匹配。

把 Agent Skill「argent-react-native-optimization」安装到我的项目:SKILL.md 原文与官方 description 见 https://zicq.com/zh/skills/skl-d0b83d5fdb8ee540-Argent-React-Native-Optimization.html
请存为 .cursor/skills/argent-react-native-optimization/SKILL.md 或 .claude/skills/argent-react-native-optimization/SKILL.md,frontmatter 的 name 与 description 保持原样,不要改写。
该技能还带 scripts/、references/、assets/ 等文件,请从 https://github.com/software-mansion/argent 取完整目录,不要只建一个 SKILL.md。

GitHub 完整包 ↗

终端安装 · Skills CLI

需要 Node.js 与 npx。先查看仓库技能列表,确认实际名称。

npx skills add 'https://github.com/software-mansion/argent' --list

npx skills add 'https://github.com/software-mansion/argent' --skill 'argent-react-native-optimization'

CLI 会交互选择目标 Agent,默认安装到项目;用户级安装使用 -g。先通过查看命令核对仓库内容,再用 npx skills list 检查已安装技能。

阅读排版

name: argent-react-native-optimization description: Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, reduce jank, or improve startup. Delegates to argent-react-native-profiler for measurement.

Rules

  • Do not apply shotgun optimizations. Measure first, define what "good enough" looks like (target metric + threshold), fix the top offender, re-measure honestly.
  • Profile for discovery, not only verification. Use the profiler to find issues static analysis missed, not only to confirm fixes.
  • Verify before fixing: recollect the evidence and conclude whether the fix is worth undertaking. Validate a fix with debugger-evaluate before committing it.
  • One fix per cycle for architectural changes. Mechanical batch fixes (inline styles, index keys) can be grouped; re-profile once after the batch. When the measurement involves device interaction, record it as an e2e test (argent-create-e2e skill) before the first run so every cycle replays identical steps.
  • React Compiler: if the project uses it (babel-plugin-react-compiler in the Babel config, or experiments.reactCompiler: true in the Expo config), skip memoization fixes (React.memo, useMemo, useCallback, hoisting inline objects and functions) in every phase; the compiler does them. Keep them for components the compiler skips (compilationMode: "annotation", "use no memo", a sources filter). Where the profiler report marks a component ⚠️ (bailout suspected), fix what stops the compiler.
  • Sub-agents: Phases 1–2 dispatch sub-agents: one per file for lint results, one per checklist item for semantic. Sub-agents CANNOT touch the device - all profiling and E2E verification must happen in the main agent.

Pipeline

Lint and semantic sweeps catch deterministic issues cheaply. Profiling finds runtime bottlenecks that static analysis misses. Do both.

Copy this checklist into your TODO list:

Optimization Progress:
- [ ] Phase 1: Lint sweep (deterministic: catch mechanical issues without a running app)
- [ ] Phase 2: Semantic sweep (judgment: memoization, lists, animations, etc.)
- [ ] Phase 3: Baseline profile (find real bottlenecks, fix top offenders)
- [ ] Phase 4: Verify no regressions (crashes, errors, red screens)
- [ ] Re-run lint to confirm the fixes added no new issues and none were missed

Phase 1: Lint sweep

Run ESLint once at the project root with a comprehensive RN performance ruleset. Dispatch sub-agents to fix results: one per file, in parallel. See references/lint-rules.md for ruleset and procedure.

Phase 2: Semantic sweep

Review each area requiring judgment: memoization, list rendering, animations, async patterns, effect cleanup, state hygiene, context architecture. Dispatch one sub-agent per checklist item. See references/semantic-checklist.md for full checklist.

Phase 3: Profiling

  1. Load the argent-react-native-profiler skill and follow its workflow (React and native profiling together) on the key user flows: the screens the user named, or all major flows. It covers analysis, drill-down, and re-profiling after each fix.
  2. Cross-reference the profiling results with the Phase 1–2 findings, and fix the highest-impact issues top-down. Re-profile after architectural changes; batch mechanical fixes.

Phase 4: Verify no regressions

Navigate every screen and UI flow within scope (the entire app if no scope was given, via argent-device-interact) and confirm each renders without errors. Check debugger-log-registry for warnings and errors (Grep its log file). Argent hides LogBox toasts once a debugger-* tool connects, so screenshots catch only full-screen red errors. Look for regressions the fixes introduced (e.g. fewer re-renders but higher CPU, or new jank on a different screen). Main agent only.

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