Is the state management cache persistent?

The cache is primarily in-memory for the current session to ensure speed, but it supports optional disk persistence for larger artifacts like build logs and test results.

How does this skill reduce token costs?

It uses a progressive disclosure pattern that returns a small summary and a cache ID first, allowing the AI to fetch full details only when specifically required by the user.

How does this skill improve iOS testing?

It provides standardized workflows for cleaning state between tests, including simulator erasing and app uninstallation, which eliminates interdependencies and ensures reproducible results.

When should I use the progressive disclosure pattern?

You should use it for any operation that generates large outputs, such as listing over 5 devices, reviewing 100+ line build logs, or inspecting complex accessibility trees.

Can I manually clear the state management cache?

Yes, the skill includes a specific cache operation with a clear sub-operation to remove simulator, project, or response data to prevent cache poisoning.

Mobile Dev State Management

Name: Mobile Dev State Management
Author: conorluddy

byconorluddy

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Mobile Development

Optimizes token efficiency and context window usage in iOS development workflows through caching and progressive disclosure.

概要

This skill provides a robust framework for managing state and optimizing token consumption within iOS development environments using the xc-plugin. By implementing sophisticated caching mechanisms and a progressive disclosure pattern—where summaries are provided before large datasets—it reduces token costs by up to 90%. It is essential for developers handling massive build logs, extensive device lists, or complex UI trees, ensuring Claude remains responsive and cost-effective across long-running development sessions.

主な機能

Automated state cleanup for reproducible test environments
Granular cache invalidation and TTL controls
27 GitHub stars
Progressive disclosure pattern for massive iOS datasets
Build configuration and simulator preference management
Deterministic caching for expensive build and test operations

ユースケース

Ensuring deterministic test results by resetting device state between executions
Managing persistent build configurations across complex development cycles
Reducing token usage when querying large lists of iOS simulators

概要

主な機能

Automated state cleanup for reproducible test environments
Granular cache invalidation and TTL controls
27 GitHub stars
Progressive disclosure pattern for massive iOS datasets
Build configuration and simulator preference management
Deterministic caching for expensive build and test operations

ユースケース

Ensuring deterministic test results by resetting device state between executions
Managing persistent build configurations across complex development cycles
Reducing token usage when querying large lists of iOS simulators