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Complete React Native and Expo optimization guide combining Callstack profiling with Vercel code patterns. Covers FPS, TTI, bundle size, memory, lists, animations, state, UI, and React Compiler. Use for any React Native performance, debugging, or best practices task.

Use this Skill: https://skilld.dev/gh/gigs-slc/react-native-skills/react-native

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rulesreact-compiler-reanimated-shared-values.md

≈317 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Use .get() and .set() for Shared Values with React Compiler

With React Compiler enabled, use .get() and .set() instead of reading or writing .value directly on Reanimated shared values. The compiler can't track property access—explicit methods ensure correct behavior.

Incorrect (breaks with React Compiler):

import { useSharedValue } from 'react-native-reanimated'

function Counter() {
  const count = useSharedValue(0)

  const increment = () => {
    count.value = count.value + 1 // opts out of react compiler
  }

  return <Button onPress={increment} title={`Count: ${count.value}`} />
}

Correct (React Compiler compatible):

import { useSharedValue } from 'react-native-reanimated'

function Counter() {
  const count = useSharedValue(0)

  const increment = () => {
    count.set(count.get() + 1)
  }

  return <Button onPress={increment} title={`Count: ${count.get()}`} />
}

See the Reanimated docs for more.

Source: SKILL.md on GitHub

2 alerts6mo4 checks · Risk HIGH
  • Gen Agent Trust Hub7mo

    The skill is a technical React Native guide that includes a high-risk remote code execution pattern for installing a performance tool.

  • Socket6mo

    No alerts

  • Snyk7mo

    Risk: MEDIUM · No issues

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    7/67 files flagged

Signed by skilld at 1d299ca. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

Dormantupdated 8 months ago
Other metadata
metadata
{
  "author": "Callstack + Vercel",
  "version": "1.0.0",
  "tags": "react-native, expo, performance, optimization, patterns"
}

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