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mobile-app-debugging

Mobile app debugging for iOS, Android, cross-platform frameworks. Use for crashes, memory leaks, performance issues, network problems, or encountering Xcode instruments, Android Profiler, React Native debugger, native bridge errors.

60

Quality

68%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Fix and improve this skill with Tessl

tessl review fix ./plugins/mobile-app-debugging/skills/mobile-app-debugging/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

37%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill provides a broad but shallow reference for mobile debugging across multiple platforms. While it includes some useful code snippets and a helpful checklist, it lacks structured debugging workflows with validation steps, and much of the content (LLDB basics, Logcat usage, console.log) is knowledge Claude already possesses. The skill would benefit significantly from deeper, platform-specific workflows with clear diagnostic sequences rather than a flat list of tips.

Suggestions

Add a structured debugging workflow (e.g., reproduce → isolate → diagnose → fix → verify) with explicit validation checkpoints for at least one platform, such as iOS crash debugging or Android ANR resolution.

Remove basic knowledge Claude already has (LLDB command basics, console.log, Log.d usage) and replace with non-obvious debugging techniques, edge cases, or platform-specific gotchas that add genuine value.

Split platform-specific content into separate referenced files (e.g., IOS_DEBUGGING.md, ANDROID_DEBUGGING.md, REACT_NATIVE_DEBUGGING.md) and use SKILL.md as a concise overview with navigation links.

Add concrete examples of diagnosing specific issues end-to-end (e.g., 'Diagnosing a retain cycle: 1. Open Memory Graph Debugger via Debug > Debug Memory Graph, 2. Look for cycles indicated by..., 3. Fix by changing strong to weak reference on...').

DimensionReasoningScore

Conciseness

Mostly efficient but includes some unnecessary elements. The LLDB commands and Logcat examples are things Claude already knows well. The checklist and performance targets table add value but the overall content covers a very broad surface area without deep insight.

2 / 3

Actionability

Provides some concrete code snippets (network interception, logging), but much of the guidance is vague direction rather than executable steps—e.g., 'Use Memory Graph Debugger to find retain cycles' and 'Profile with Instruments > Leaks' lack specific commands or workflows. The LLDB commands and React Native debugging snippets are helpful but basic.

2 / 3

Workflow Clarity

There is no sequenced debugging workflow. The content is organized as a reference list of tools and tips rather than a step-by-step process for diagnosing and resolving issues. For debugging tasks—which are inherently multi-step with validation checkpoints (reproduce → diagnose → fix → verify)—the lack of any workflow structure is a significant gap.

1 / 3

Progressive Disclosure

The content is organized into clear sections by platform, which aids navigation. However, it's a monolithic file covering iOS, Android, React Native, network debugging, and performance without any references to deeper resources. The breadth of topics would benefit from splitting into platform-specific files with the SKILL.md serving as an overview.

2 / 3

Total

7

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a strong skill description that clearly defines its scope (mobile app debugging), covers multiple platforms (iOS, Android, cross-platform), and provides explicit trigger conditions with specific tools and problem types. It uses proper third-person voice and is concise without being vague. The only minor improvement could be listing a few more concrete actions (e.g., 'diagnose ANRs', 'analyze stack traces') but overall it performs well across all dimensions.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions/domains: crashes, memory leaks, performance issues, network problems, and names specific tools like Xcode instruments, Android Profiler, React Native debugger, and native bridge errors.

3 / 3

Completeness

Clearly answers both what ('Mobile app debugging for iOS, Android, cross-platform frameworks') and when ('Use for crashes, memory leaks, performance issues, network problems, or encountering Xcode instruments, Android Profiler, React Native debugger, native bridge errors') with explicit trigger guidance.

3 / 3

Trigger Term Quality

Excellent coverage of natural terms users would say: 'crashes', 'memory leaks', 'performance issues', 'network problems', 'Xcode instruments', 'Android Profiler', 'React Native debugger', 'native bridge errors', 'iOS', 'Android'. These are all terms a developer would naturally use when seeking debugging help.

3 / 3

Distinctiveness Conflict Risk

Clearly scoped to mobile app debugging specifically, with distinct triggers like 'Xcode instruments', 'Android Profiler', 'React Native debugger', and 'native bridge errors' that are unlikely to conflict with general debugging or web development skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
secondsky/claude-skills
Reviewed

Table of Contents

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