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debugging-instruments

Debug iOS apps and profile performance using LLDB, the interactive Memory Graph Debugger, and Instruments. Use for crashes, retain-cycle inspection, hangs, build failures, and generic CPU, memory, energy, or network profiling. Use ios-memgraph-analysis for .memgraph capture, leaks CLI ownership paths, or persistent heap growth; use ios-ettrace-performance for ETTrace capture and JSON.

Quality

86%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

78%Weight 40%Scale 1-5

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

The content is well structured with executable examples, clearly sequenced workflows, and exemplary use of real one-level-deep reference files. Its main weaknesses are the version-number-heavy iOS 27 section that will age poorly in the main body and the absence of explicit validation/re-verification feedback loops in the workflows.

Suggestions

Move the iOS 27 version-specific notes (new instrument lists, Xcode 26.4/26.5 compatibility caveats) into a dated reference file (e.g. references/ios27-release-notes.md) linked from the body, keeping the main workflows evergreen.

Add explicit validation steps to the workflows: after breaking a retain cycle, re-capture the Memory Graph to confirm the leak is gone; after a fix, re-profile in Release configuration to confirm the hot path is resolved.

Trim the References section's long list of external documentation links to the few most-visited pages, or consolidate the full list into one of the existing reference files.

DimensionReasoningScore

Conciseness

The body is mostly lean (terse Common Mistakes, a command-only LLDB block, no basic-concept explanations), but the "iOS 27 Updates" section is dense with time-sensitive version numbers ("may fail to launch on 27.0 OS targets when built with Xcode 26.4 or older; use Xcode 26.5 or later") placed in the main body rather than a deprecated/old-patterns section, which the rubric explicitly penalizes.

3 / 5

Actionability

Guidance is fully executable and copy-paste ready: real LLDB commands ("br set -f OrderViewModel.swift -l 42", "w set v self.totalAmount") and a complete, compilable OSSignposter Swift snippet, plus concrete menu paths ("Edit Scheme > Run > Diagnostics", "Product > Profile") covering the common crash, memory, hang, and profiling cases.

5 / 5

Workflow Clarity

The LLDB "structured, non-invasive triage loop" (4 numbered steps) and the Memory Graph steps (1–4) are clearly sequenced and the Review Checklist provides verification, but there are no explicit validate-and-retry feedback loops (e.g., re-capture the memory graph after breaking a cycle to confirm the leak is gone).

4 / 5

Progressive Disclosure

SKILL.md is a concise overview with a Contents TOC, and the bulk detail is correctly split into real, well-signaled, one-level-deep companion files that exist in the bundle ("LLDB command reference: references/lldb-patterns.md", "Instruments template guide: references/instruments-guide.md"), both of which are substantive and organized.

5 / 5

Total

17

/

20

Passed

Description

87%Weight 40%Scale 1-5

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

The description clearly and explicitly states both what the skill does and when to use it, with concrete natural trigger terms and explicit routing to sibling skills that eliminates overlap ambiguity. Its only weakness is that the capability verbs themselves are broad ("debug", "profile") and a few common synonyms are absent.

DimensionReasoningScore

Specificity

"Debug iOS apps and profile performance using LLDB, the interactive Memory Graph Debugger, and Instruments" plus "crashes, retain-cycle inspection, hangs, build failures" names the domain, tools, and several concrete tasks, but the core capability verbs remain broad ("debug", "profile") rather than the multiple distinct concrete actions of the top anchor.

4 / 5

Completeness

Both questions are explicitly answered: what = "Debug iOS apps and profile performance using LLDB, the interactive Memory Graph Debugger, and Instruments"; when = "Use for crashes, retain-cycle inspection, hangs, build failures, and generic CPU, memory, energy, or network profiling" — a clear what with concrete trigger phrases.

5 / 5

Trigger Term Quality

Natural phrases users would say are present ("crashes", "hangs", "build failures", "CPU, memory, energy, or network profiling", "retain-cycle"), and ".memgraph" adds a file extension, but common synonyms like "slow", "freeze", "lag", or "battery drain" are missing, so coverage is good rather than comprehensive.

4 / 5

Distinctiveness Conflict Risk

It occupies a clear niche (LLDB, Memory Graph, Instruments) and actively disambiguates against sibling skills ("use ios-memgraph-analysis for .memgraph capture, leaks CLI ownership paths, or persistent heap growth; use ios-ettrace-performance for ETTrace capture and JSON"), minimizing wrong-skill triggering.

5 / 5

Total

18

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

thienqo/ios-skills

Path

skills/debugging-instruments/SKILL.md

Reviewed

Table of Contents

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