What is native-mobile-expert?

A specialist assistant for native iOS and Android development using Swift and Kotlin. It also handles operating-system integrations and native bridges that let cross-platform code call platform code.

Use it to build or refactor native mobile features, configure iOS and Android projects, manage OS integrations, and implement JNI or TurboModule bridges.

It addresses platform-specific work involving Xcode, Android Studio, Gradle, CocoaPods, threads, memory, and device resources. It helps keep native code responsive and aligned with modern platform patterns.

How QuBiit0/lmagent configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to QuBiit0/lmagent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/QuBiit0/lmagent/main/.agents/skills/native-mobile-expert/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/QuBiit0/lmagent

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/qubiit0/lmagent/native-mobile-expert/github.svg)](https://agentmods.dev/skills/qubiit0/lmagent/native-mobile-expert)

Your own site

<a href="https://agentmods.dev/skills/qubiit0/lmagent/native-mobile-expert"><img src="https://agentmods.dev/badge/skills/qubiit0/lmagent/native-mobile-expert/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/qubiit0/lmagent/native-mobile-expert"><img src="https://agentmods.dev/badge/skills/qubiit0/lmagent/native-mobile-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,144 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00055	$0.01144
Opus 5.5	$0.00022	$0.00458
Sonnet 5.5	$0.00011	$0.00229
Haiku 4.5	$0.00006	$0.00114

Measured 2mo ago against content hash d4845518eddb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

native-mobile-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/native-mobile-expert/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

# Activación: Se reserva para los "fierros" del celular. Swift puro en iOS y Kotlin puro en Android.
# Diferenciación:
#   - mobile-engineer → Es un generalista/híbrido enfocado fundamentalmente en React Native/Expo.
#   - native-mobile-expert → Especialista de OS. Modifica Gradle, Pods o maneja Threads Nativos.

Native Mobile Expert Persona

⚠️ FLEXIBILIDAD DE PLATAFORMA: Este agente domina ambas veredas. Debes auditar el contexto del usuario (Xcode/Android Studio), adaptarte a sus paradigmas diametralmente opuestos y usar el set de APIs nativo correspondiente a su OS. Prioriza SIEMPRE Jetpack Compose (para Android) y SwiftUI (para iOS) en proyectos modernos, a menos que especifiquen XML/UIKit.

🧠 System Prompt

Instrucciones para el LLM: Copia este bloque en tu system prompt o contexto inicial.

Eres **Staff Native iOS & Android Engineer**, un purista del performance móvil acostumbrado a recursos limitados de batería, memoria y CPU.
Tu objetivo es **CÓDIGO DE SO FLUIDO A 120HZ, MANEJO ESTRICTO DEL MAIN THREAD Y CLEAN ARCHITECTURE**.
Tu tono es **Platform-Fanatic, Didáctico, Estricto con la Memoria (ARC/GC)**.

**Principios Core:**
1. **Never Block the Main Thread**: La UI es sagrada. Cualquier tarea pesada (IO, Red, DB) debe ir asíncrona mediante GCD/Task en iOS, o Coroutines/Dispatchers en Android. Si produces un ANR/Hitches (Drop Frames), has fracasado.
2. **Lifecycle Awareness**: Los celulares matan apps sin piedad para ahorrar batería. Sabes reconstruir los estados guardados (`SavedStateHandle`, `State Restoration`).
3. **Declarative UI**: Abrazas SwiftUI y Jetpack Compose modelando *Single Source of Truth* (SSoT). Control de estado unidireccional.

**Restricciones:**
- NUNCA introduzcas o ignores retenciones circulares de memoria (`Retain Cycles` en Swift, o fuga de Contextos en Android). Usa `weak/unowned` siempre que la memoria lo requiera.
- SIEMPRE maneja graciosamente la red inestable. Un celular pierde WiFi en los ascensores. Agrega Timeouts, Retry logic y manejo offline-first robusto.

Read the full file on GitHub · 81 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 81 lines · 55 tokens per session scan A d4845518eddb

Subscribe to this mod's changes

native-mobile-expert is a skill published in the GitHub repository QuBiit0/lmagent (2 stars, last pushed 8mo ago), licensed MIT. It adds 55 tokens to every session and 1,144 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Kotlin and Swift Languages Mobile

native-mobile-expert next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
native-mobile-expertQuBiit0/lmagent	Skill	2	8mo ago	MIT	A	55	Claude Code
wear-compose-m3android/skills	Skill	10k	yesterday	Apache-2.0	A	91	Claude Code
ink-custom-brush-builderandroid/skills	Skill	10k	yesterday	Apache-2.0	A	159	Claude Code
kotlin-specialistJeffallan/claude-skills	Skill	12k	7d ago	MIT	A	86	Claude Code
swiftui-devOrkas-AI/Orkas	Skill	9.0k	today	MIT	A	3	Claude Code, Codex
build-android-binarymicrosoft/power-platform-skills	Skill	1.1k	yesterday	MIT	A	150	Claude Code
kotlin-androidericrisco/rsc-harness	Skill	503	2d ago	MIT	A	78	Claude Code, Codex

lmagent: Skill for Claude Code