Garbage Collection
Expert skill for garbage collector design and implementation including various collection algorithms
Best use case
Garbage Collection is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Expert skill for garbage collector design and implementation including various collection algorithms
Teams using Garbage Collection should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/garbage-collection/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Garbage Collection Compares
| Feature / Agent | Garbage Collection | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Expert skill for garbage collector design and implementation including various collection algorithms
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Garbage Collection Skill
## Overview
Expert skill for garbage collector design and implementation including various collection algorithms.
## Capabilities
- Implement mark-sweep collection
- Implement copying/semi-space collectors
- Implement generational collection with write barriers
- Implement concurrent/incremental marking (tri-color)
- Design object header layouts and type info
- Implement precise vs conservative root scanning
- Design card table and remembered set implementations
- Implement finalizers and weak references
## Target Processes
- garbage-collector-implementation.js
- memory-allocator-design.js
- interpreter-implementation.js
- bytecode-vm-implementation.js
## Dependencies
GC Handbook literature (Jones, Hosking, Moss)
## Usage Guidelines
1. **Algorithm Selection**: Start with simple mark-sweep, evolve to generational as needed
2. **Write Barriers**: Design write barriers early if considering generational/concurrent GC
3. **Root Scanning**: Implement precise root scanning for safety
4. **Pause Times**: Measure pause times and optimize for application requirements
5. **Testing**: Build GC stress tests and allocation-heavy benchmarks
## Output Schema
```json
{
"type": "object",
"properties": {
"algorithm": {
"type": "string",
"enum": ["mark-sweep", "copying", "mark-compact", "generational", "concurrent"]
},
"writeBarrier": {
"type": "string",
"enum": ["none", "card-table", "remembered-set", "snapshot-at-beginning", "incremental-update"]
},
"rootScanning": {
"type": "string",
"enum": ["conservative", "precise"]
},
"generatedFiles": {
"type": "array",
"items": { "type": "string" }
}
}
}
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