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1K Performance

Checked
onekeyhq·vlatest·frontend

Analyzes user workflows to identify bottlenecks & suggest optimizations for a 1,000% performance boost.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add onekeyhq/app-monorepo --skill 1k-performance -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

onekeyhq

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned onekeyhq/app-monorepo at eba5185761.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
2 files, 791 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, 1K Performance, analyzes user workflows within React and React Native applications to identify performance bottlenecks and suggest optimizations. It focuses on best practices derived from the OneKey monorepo, aiming for a significant performance boost – up to 1,000%. The skill provides guidance on managing concurrent requests, optimizing bridge interactions in React Native, improving list rendering, utilizing memoization techniques, and offloading heavy operations.

When to use it

  • When dealing with multiple API calls or network-heavy operations that might slow down the user interface.
  • When experiencing overhead from the React Native bridge on iOS or Android platforms.
  • When displaying lists containing 100+ items and encountering performance issues.
  • When expensive computations are causing unnecessary re-renders in your application.
  • When UI blocking operations are impacting responsiveness.

Key capabilities

  • Concurrent Request Management: Limits the number of concurrent requests to prevent UI freezes (up to a concurrency limit, like 3). Includes an executeBatched function for controlled execution.
  • React Native Bridge Optimization: Provides guidance on minimizing bridge crossings and batching data transfers.
  • List Rendering Optimization: Recommends using FlashList with windowSize={5} and the content-visibility property to improve list performance.
  • Memoization: Suggests utilizing memo, useMemo, and useCallback to prevent unnecessary re-renders.
  • Heavy Operation Offloading: Advocates using InteractionManager and setTimeout to move heavy operations off the main thread.

Example prompts

  • "How can I optimize this React Native code that makes 15 concurrent API calls?"
  • "What's the best way to render a long list of items in my React app efficiently?"
  • "I’m seeing performance issues with my React Native bridge, what should I check?"

Tips & gotchas

  • The skill focuses specifically on React and React Native applications within the OneKey monorepo context.
  • For more comprehensive optimization strategies, refer to the performance.md guide referenced in the source content.
  • Be aware of the "forbidden" patterns – like making too many concurrent requests without batching – which can severely impact performance.