
from ordinary-claude-skills308
Boost AgentDB vector database speed and memory efficiency using quantization, HNSW indexing, and batch operations.
This skill provides a comprehensive toolkit for optimizing AgentDB vector databases. It focuses on reducing memory footprints by 4-32x and increasing search speeds by up to 12,500x through advanced vector database techniques.
Use this skill when managing large-scale vector datasets (10K to 1M+ vectors), deploying to memory-constrained environments like mobile or edge devices, or when search latency exceeds acceptable thresholds.
Designed for agents with access to a Node.js runtime and the agentic-flow package, specifically targeting Claude Code and similar CLI-based agentic environments.
This skill has not been reviewed by our automated audit pipeline yet.
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