memory-analysis
Embedded memory analysis, optimization, and leak detection
npx skills add a5c-ai/babysitter --skill memory-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Memory Analysis Skill ## Overview This skill provides comprehensive memory analysis capabilities for embedded systems, including linker map analysis, stack usage estimation, heap fragmentation detection, and memory optimization strategies. ## Capabilities ### Linker Map Analysis - Map file parsing and interpretation - Symbol size analysis - Section size breakdown - Memory region utilization - Unused symbol detection - Cross-reference analysis ### Stack Analysis - Static stack usage analysis - Call graph generation - Worst-case stack depth calculation - Per-function stack usage - Interrupt stack analysis - Stack overflow detection strategies ### Heap Analysis - Heap fragmentation analysis - Allocation pattern analysis - Memory pool sizing - Leak detection strategies - Peak usage tracking - Block size distribution ### Memory Optimization - Section placement optimization - Flash vs RAM trade-offs - Const correctness enforcement - String pooling strategies - Data structure packing - Alignment optimization ### Memory Protection - MPU region configuration - Stack guard implementation - Buffer overflow protection - Memory isolation strategies ### Tooling Integration - GCC map file analy
- Overview
- Capabilities
- Linker Map Analysis
- Stack Analysis
- Heap Analysis
- Memory Optimization
- Memory Protection
- Tooling Integration
- Target Processes
- Dependencies
- Usage Context
- Analysis Outputs
- Map File Summary
- Configuration
What does the memory-analysis skill do?
Embedded memory analysis, optimization, and leak detection
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill memory-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.