Memory Optimize
Reduces long-term memory usage by intelligently summarizing and prioritizing relevant information for efficient recall.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add memory-optimize npx -- -y @trustedskills/memory-optimize
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"memory-optimize": {
"command": "npx",
"args": [
"-y",
"@trustedskills/memory-optimize"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The memory-optimize skill helps AI agents manage and reduce memory usage efficiently, ensuring smoother performance during long-running tasks or when handling large datasets. It includes techniques like pruning unnecessary data, caching strategies, and optimizing variable storage to prevent out-of-memory errors.
When to use it
- When running complex models that consume excessive RAM.
- During batch processing of large files or datasets.
- When deploying AI agents on systems with limited memory resources.
- To improve the responsiveness of long-running agent workflows.
Key capabilities
- Memory profiling and analysis
- Automatic cleanup of unused variables
- Efficient caching mechanisms
- Garbage collection optimization
Example prompts
- "Optimize my agent's memory usage for processing 10GB of data."
- "Reduce memory footprint during model inference without losing accuracy."
- "Analyze current memory consumption and suggest improvements."
Tips & gotchas
- Ensure your environment supports garbage collection or memory profiling tools.
- Some optimization techniques may slightly increase processing time, so balance performance with resource usage.
Tags
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