Analyze NuttX/Vela memdump logs to quantify heap usage and detect leaks.
npx skills add https://github.com/open-vela/.claude --skill memdump
Please help me install this Agent Skill. Skill: memdump Source: https://github.com/open-vela/.claude/tree/main/skills/memdump Command: npx skills add https://github.com/open-vela/.claude --skill memdump
This Skill analyzes heap memory usage from NuttX/Vela memdump logs to detect memory leaks, identify high-consumption modules, and compare memory footprints across firmware versions. It helps developers diagnose memory-related issues in embedded systems and optimize RAM usage by tracking allocations over time.
Run memdump_quick.py on your memdump log to diagnose the format, generate initial memory statistics, and identify target processes for deeper analysis.
High-intent search queries and answers about installing and using this skill.
You can detect memory leaks from NuttX memdump logs by running the analysis script to perform backtrace grouping and per-task memory aggregation, identifying high-consumption modules and allocation hotspots over time.
Analyzing heap usage across multiple cores in a Vela system involves parsing memdump logs to provide per-core analysis and task mapping, allowing you to quantify total memory and isolate leaks for specific core allocations.
To translate addresses in a memdump backtrace into function names, you can use the optional ELF-backed symbolication feature, which utilizes addr2line to resolve raw memory addresses into readable source code symbols.
Yes, you can export embedded heap memory analysis results for automated dashboards by utilizing the JSON export feature, which formats per-task aggregation and backtrace grouping data for downstream automation pipelines.
Yes, this heap memory analysis supports cross-version comparisons of memory footprints, allowing developers to track allocations over time and validate RAM usage optimizations across different firmware iterations.
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