agentdb-performance-optimization
星标88,800
分支10,478
更新时间2026年1月13日 10:31
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
· 实时索引
安装
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
想先保存到本地？可下载 RuleHub 当前索引到的 GitHub 仓库压缩包。
下载 Zip文件资源管理器2 个文件
SKILL.mdreadonly
| name | agentdb-performance-optimization |
| description | Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, an... |
agentdb-performance-optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
When to use
Use this skill when the user needs help with tasks related to agentdb performance optimization.
Guidelines
- Follow repository conventions in
ruvnet/RuView - Prefer minimal, focused changes
- Validate outputs before finishing