Memory Allocator
SkillDocs & knowledgeExpert skill for custom memory allocator design optimized for language runtime needs
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Memory Allocator skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/programming-languages/skills/memory-allocator/SKILL.md and read by ahel’s review.
Overview
Expert skill for custom memory allocator design optimized for language runtime needs.
Capabilities
- Implement bump/arena allocators
- Implement free-list allocators with size classes
- Design slab allocators for fixed-size objects
- Implement thread-local allocation buffers (TLAB)
- Handle large object allocation strategies
- Implement memory pooling and recycling
- Design memory profiling and statistics
- Implement address space layout optimization
Target Processes
- memory-allocator-design.js
- garbage-collector-implementation.js
- interpreter-implementation.js
- bytecode-vm-implementation.js
Dependencies
jemalloc, tcmalloc references
Usage Guidelines
- Size Classes: Design size classes to minimize internal fragmentation
- Thread Safety: Use thread-local allocation for hot paths
- Large Objects: Handle large objects separately from small allocations
- Profiling: Build allocation statistics from the start
- GC Integration: Design allocator API with GC integration in mind
Output Schema
{
"type": "object",
"properties": {
"allocatorType": {
"type": "string",
"enum": ["bump", "free-list", "slab", "hybrid"]
},
"sizeClasses": {
"type": "array",
"items": { "type": "integer" }
},
"threadSafety": {
"type": "string",
"enum": ["single-threaded", "tlab", "lock-free"]
},
"generatedFiles": {
"type": "array",
"items": { "type": "string" }
}
}
}
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
memory-allocator- Source
- github.com/a5c-ai/babysitter
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