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Mobile performance

Skill AtulPurohit/Antigravity-Awesome-Skills/skills/mobile-performance

Installable GitHub library of 300+ professional agentic skills for Claude Code, Antigravity IDE, Gemini CLI, Cursor, and Copilot. Features a custom NPX installer, 9 stack-specific bundles, validation schemas, security auditing, and an interactive catalog explorer app.

Install
npx -y skills add AtulPurohit/Antigravity-Awesome-Skills --skill mobile-performance

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

3 things to look at

  • 29 days oldThe repository was created 29 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Professional Mobile Performance Expert skill. Build performance-tuned, secure, and intuitive mobile applications for iOS and Android.

SKILL.md

1.4 KB, 185 tokens by cl100k_base, as published. Nobody here has run it

Mobile Performance Expert

Purpose

Manage and implement Mobile Performance Expert requirements efficiently within enterprise applications.

Core Concepts

Detailed operational framework for Mobile Performance Expert:

1️⃣ Overview and Strategy

Understanding boundaries, rules, and best practices for the mobile-performance feature domain.

2️⃣ Code Implementation Reference

// Mobile Platform Integration Code
import { Platform } from 'react-native';
const config = {
  isIOS: Platform.OS === 'ios',
  isAndroid: Platform.OS === 'android'
};

3️⃣ Checklist & Validation Rules

  • Integration validation checklist completed.
  • Code conventions and naming rules followed.
  • Strict type safety constraints verified.
  • Security standards checked.

Outputs

  1. System integration pattern definitions.
  2. Code templates and examples.
  3. Test validation checklists.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most performance cost skills give in 185 tokens

Counted across 803 of the 1,058 authors here whose files we hold, read 2026-08-07

  • Keep skill files under 500 lines or tokensin 82 of 803, across 16 files
  • Use imperative form in instructionsin 80 of 803, across 9 files
  • Draft assertions while test runs are in progressin 75 of 803, across 9 files
  • Create two to three realistic test promptsin 74 of 803, across 9 files
  • Write skill descriptions to be pushyin 72 of 803, across 7 files
  • Save test cases to evals JSONin 72 of 803, across 6 files
  • Ask questions about edge cases and input formatsin 72 of 803, across 7 files
  • Save timing data immediately when runs completein 70 of 803, across 5 files
  • Include all trigger conditions in the skill descriptionin 69 of 803, across 3 files
  • Launch all test runs in a single turn or simultaneouslyin 69 of 803, across 3 files
  • Capture intent before writing a skillin 67 of 803, across 1 file
  • Import directly instead of barrel filesin 52 of 803, across 15 files

Said here and by no other author read

  • complete the integration validation checklist
  • follow code conventions and naming rules
  • verify strict type safety constraints
  • check security standards
  • use platform detection for ios and android

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 327,069. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.