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detecting-memory-leaks

5.8

by jeremylongshore

65Favorites
67Upvotes
0Downvotes

Detect potential memory leaks and analyze memory usage patterns in code. Use when troubleshooting performance issues related to memory growth or identifying leak sources. Trigger with phrases like "detect memory leaks", "analyze memory usage", or "find memory issues".

memory-leaks

5.8

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0

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Testing & Quality

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Quick Review

The skill provides a clear description of memory leak detection capabilities with good structural organization. The SKILL.md effectively explains when to use the skill and provides concrete examples. However, taskKnowledge is moderate - while it references scripts (analyze_memory.py, generate_report.py, setup_environment.sh) that presumably contain implementation details, the SKILL.md itself provides mainly conceptual guidance rather than detailed technical steps or tool-specific commands. The novelty score is average because while memory leak detection is useful, many existing tools (valgrind, heap profilers, IDE plugins) already handle this well, and a CLI agent with bash access could invoke these tools directly without extensive token usage. The skill would be more valuable if it provided sophisticated cross-tool orchestration, custom pattern detection, or language-agnostic analysis that goes beyond standard profiling tools.

LLM Signals

Description coverage7
Task knowledge6
Structure7
Novelty5

GitHub Signals

1,046
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Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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jeremylongshore

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