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Callstack React Native Skills

callstackincubator/agent-skills

Guide AI through React Native performance, upgrades, testing, and incremental migration.

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What is Callstack React Native Skills?

Prepared by LessAI Tools from public project documentation

Callstack packages practical React Native workflows into task-specific skills for iOS and Android developers. The reviewed performance skill starts with measurements before recommending optimizations. Other tasks cover navigation, native libraries, upgrades, and migration. Use a skill-compatible assistant and the relevant project; running app tests still needs platform tools and devices, while external cloud services have separate costs.

Callstack React Native Skills setup documentation

Setup requirements have not been reviewed yet. Check the project’s setup guide.

Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

Callstack React Native Skills use cases

  • Measure startup and rendering before optimizing
  • Plan version-aware React Native upgrades
  • Prepare app testing and incremental migration workflows

Official project & documentation

View source code ↗Setup and usage guide ↗

The project’s original description

A collection of agent-optimized React Native skills for AI coding assistants.

Alternatives to Callstack React Native Skills for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

  • Superpowers — Give AI a development workflow for clarifying requirements, planning, coding, and checking results.
  • Matt Pocock Skills — Reproduce a problem and verify its cause before changing code.
  • gstack — Connect planning, code review, and browser checks in a development workflow.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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