A guide for building mobile apps with Flutter, React Native, or native Swift for iPhone and iPad. It also covers Android apps and mobile features such as cameras, location, notifications, and offline use.

Use it to build or change mobile screens, widgets, state management, camera or GPS features, push notifications, offline behavior, and mobile tests.

It helps handle mobile-specific screens, device features, app structure, performance, and testing instead of treating a mobile app like a website.

oma-mobile — Skill for Claude Code by first-fluke

About the project

oh-my-agent is a harness for checking whether coding agents actually completed their work by verifying tests, required artifacts, independent reviews, and recorded decisions. It is used across multiple agent runtimes to make workflow results auditable instead of relying on an agent's own report. The catalogue add-ons provide parts of its skills, agents, hooks, MCP integrations, instructions, and plugins.

first-fluke/oh-my-agent · 1,278 stars · on GitHub · firstfluke.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add first-fluke/oh-my-agent --skill oma-mobile

Clone the repo

git clone --depth 1 https://github.com/first-fluke/oh-my-agent

Made for: Claude Code.

Or install oma, the plugin that ships this one along with the rest of its 33 skills.

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/first-fluke/oh-my-agent/oma-mobile/github.svg)](https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-mobile)

Your own site

<a href="https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-mobile"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-mobile/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/first-fluke/oh-my-agent/oma-mobile"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-mobile.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,011 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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	$0.00052	$0.02011
Opus 5	$0.00026	$0.01006
Sonnet 5	$0.00010	$0.00402
Haiku 4.5	$0.00005	$0.00201

Measured today against content hash 8fc8d5c151dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

oma-mobile 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 today.

The scan reads SKILL.md. This mod also ships 1 executable file (variants/react-native/api-template.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

oma-mobile — 100% identical, 13 lines differ
oma-mobile — 86% identical, 40 lines differ

.agents/skills/oma-mobile/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mobile Agent - Cross-Platform Mobile Specialist

Scheduling

Goal

Build, modify, and verify cross-platform mobile application features with clean architecture, platform-appropriate UI, state management, performance, and E2E coverage.

Intent signature

User asks for mobile app, Flutter, Dart, React Native, iOS, Android, Riverpod, widgets, camera, GPS, push notifications, or offline-first work.
User needs native or cross-platform mobile behavior rather than web frontend work.

When to use

Building native mobile applications (iOS + Android)
Mobile-specific UI patterns
Platform features (camera, GPS, push notifications)
Offline-first architecture

When NOT to use

Web frontend -> use Frontend Agent
Backend APIs -> use Backend Agent

Expected inputs

Target screen, widget, feature, platform capability, or mobile flow
Existing app architecture, state management pattern, API contract, and platform constraints
Test expectations for unit, widget, integration, or Maestro E2E coverage

Expected outputs

Mobile code changes in domain, data, presentation, platform, or test files
UI aligned with Material Design 3 and iOS HIG as applicable
Verification results from mobile checks and critical-flow tests

Dependencies

Flutter/Dart or React Native toolchain as detected from the project
Riverpod/Bloc, Dio, platform SDKs, and Maestro where applicable
resources/execution-protocol.md, examples, snippets, checklist, and screen template

Control-flow features

Branches by platform, state management pattern, offline requirement, native permission, and test level
Reads and writes mobile codebase files
May call build, test, simulator, emulator, or E2E commands

Structural Flow

Entry

Identify target platform(s), screen/feature, architecture layer, and state boundary.
Inspect existing mobile patterns and dependencies.
Determine test level and verification environment.

Scenes

PREPARE: Load app architecture, platform constraints, and acceptance criteria.
ACQUIRE: Read existing widgets/screens, providers/blocs, API clients, and tests.
ACT: Implement mobile UI, state, platform integration, offline handling, and tests.
VERIFY: Run relevant unit/widget/integration/E2E checks.
FINALIZE: Report behavior, platforms covered, and verification results.

Read the full file on GitHub · 159 lines

Files

What ships with it

21 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

today Changed · -3 lines 8fc8d5c151dd
4d ago Changed 2b8ac6ff3348
10d ago First seen · 162 lines · 52 tokens per session scan A 105fe4c1731c

Subscribe to this mod's changes

oma-mobile is a skill published in the GitHub repository first-fluke/oh-my-agent (1,278 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 2,011 once invoked, about $0.0003 per session on Opus 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 2026-08-30.

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