mobile-observability

作者 nexus-labs-automation已验证

Claude Code plugin for mobile app observability: crash reporting, performance monitoring, and instrumentation for iOS, Android, and React Native

108
Stars
11
Forks
2026/8/24
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/nexus-labs-automation/mobile-observability

快速入门

使用 mobile-observability 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

Mobile Observability Plugin

Teaches Claude how to instrument mobile apps correctly — what to measure, what context to attach, and what mistakes to avoid.

The Problem

Most mobile teams instrument poorly:

  • Too little — Can't debug production issues
  • Too much — Noise, cost, battery drain
  • Wrong context — Errors without enough data to act on

This plugin teaches Claude to capture both user intent (what they tried to do) and system state (device conditions, errors, performance) so you can answer "Why did this fail, and for whom?"

Installation

claude plugin marketplace add calube/mobile-observability
claude plugin install mobile-observability

Usage

Commands

/instrument ios
/audit features/checkout

Natural Prompts

"How should I instrument this payment flow?"
"What context should I attach to crashes?"
"Set up session replay with Bitdrift"
"Review this code for observability anti-patterns"
"What's missing from our crash reporting setup?"

Commands

CommandDescription
/instrument [platform]Generate prioritized instrumentation plan for iOS, Android, React Native, or Flutter
/audit [path]Scan existing code for instrumentation gaps and anti-patterns

Agents

Agent definitions that Claude reads and follows when performing analysis tasks.

codebase-analyzer

Explores mobile codebases to understand architecture and identify instrumentation opportunities.

Focus Areas:

  • Platform and architecture detection (MVVM, TCA, Clean Architecture)
  • Existing telemetry SDK inventory
  • Entry points and key user flows
  • Network, persistence, and state management layers

Output:

  • Platform summary with language/version
  • Architecture pattern identification
  • Existing SDK coverage assessment
  • Gap analysis with priority ranking

instrumentation-reviewer

Reviews code changes for observability issues before they ship.

Focus Areas:

  • Anti-patterns (PII leaks, high cardinality, sync telemetry)
  • Missing context (no user ID, no session, no screen)
  • Naming consistency
  • Vendor best practices

Output:

  • Issues by severity with file:line references
  • Specific fixes with code examples
  • Vendor guideline references

Skills

8 skills that activate automatically based on context:

SkillTrigger
instrumentation-planning"What should I measure?"
crash-instrumentation"How to capture crashes with context"
session-replay"Set up session replay"
interaction-latency"Track button response time"
navigation-latency"Track screen load time"
network-tracing"Trace API requests"
user-journey-tracking"Track user funnels"
symbolication-setup"Configure dSYM upload"

When to Use

Use this plugin for:

  • Adding observability to a new or existing mobile app
  • Setting up crash reporting, performance monitoring, or session replay
  • Choosing between vendors (Sentry, Datadog, Embrace, Bitdrift, Firebase, New Relic, etc.)
  • Reviewing instrumentation code for anti-patterns
  • Understanding what context to attach to errors

Don't use for:

  • Backend/server observability
  • Web frontend (different patterns)
  • General logging questions unrelated to mobile

Directory Structure

mobile-observability/
├── commands/       # /instrument, /audit
├── agents/         # codebase-analyzer, instrumentation-reviewer
├── skills/         # 8 instrumentation skills
├── hooks/          # Anti-pattern warnings for Swift/Kotlin/TypeScript/Dart
└── references/     # 25+ guides covering methodology, platforms, vendors

Philosophy

  1. Start with crashes — Get crash reporting and symbolication right before adding anything else
  2. Context over volume — One error with full context beats 100 without
  3. User intent + system state — Link what users tried to do with device conditions (memory, network, battery)
  4. Avoid anti-patterns early — PII leaks and high cardinality are expensive to fix later

Author

Caleb Davis

License

MIT — see LICENSE

常见问题

What is mobile-observability?

mobile-observability is an open-source ide extensions skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by nexus-labs-automation. Claude Code plugin for mobile app observability: crash reporting, performance monitoring, and instrumentation for iOS, Android, and React Native. It has 108 GitHub stars.

Is mobile-observability safe to use?

Yes. mobile-observability passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install mobile-observability?

Clone the repository with "git clone https://github.com/nexus-labs-automation/mobile-observability" and add it to your Claude Code skills directory (see the Installation section above).

Are there alternatives to mobile-observability?

Yes. SkillsLLM lists many other IDE Extensions skills you can browse and compare side by side. Open the IDE Extensions category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh mobile-observability against similar tools.

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