OpenClaw AI 技能

规划本地知识库的目录、分片粒度、命名、更新时间与访问边界，而不是直接堆 RAG。；use for rag, indexing, knowledge workflows；do not use for 直接部署向量数据库, 忽略权限隔离.

提供基于文档分块、简单词频嵌入及混合向量+关键词搜索的RAG 2.0检索系统，支持中英文本和来源引用。

[自动翻译] Vector memory search and RAG skill for OpenClaw. Provides vector_search tool backed by Qdrant, auto-syncs memory .md files and Postgres records

企业级文档检索系统，支持多模型语义嵌入、混合向量+关键词搜索、Cross-Encoder重排序与完整来源引用。

[自动翻译] Manage vector storage and similarity search using TOS Vectors service. Use when working with embeddings, semantic search, RAG systems, recommen

[自动翻译] Generate and vectorize SVG graphics via the QuiverAI API (Arrow model). Use when the user asks to create logos, icons, or illustrations as SVG,

[自动翻译] 8 vector store implementations behind a common interface — numpy, lancedb, qdrant, pgvector, weaviate, weaviate_hybrid, milvus, lightrag. Use w

[自动翻译] Search, retrieve, and chat with documents securely stored in ANY Google Drive folder using semantic vector search (RAG). Use when: (1) a user a

[自动翻译] Create and animate vector-based text, shapes, diagrams, and visualizations on an infinite canvas with resolution-independent export and rich an

[自动翻译] Deep vector database workflow—embedding choice, index algorithms, recall/latency trade-offs, hybrid search, filtering, operational tuning, and

将位图图像（截图、手绘照片、示意图等）转换为精确的矢量图形代码（SVG或Canvas）。当用户提供一张图片并希望将其重新绘制成可缩放、可编辑的矢量图形时，应使用本技能。特别适合物理示意图、几何图形、电路图、标注图等需要精确还原的场景。

将物理问题的运动过程制作成交互式 HTML Canvas 动画。当用户提供物理题目并希望制作动画来展示物理过程时，应使用本技能。特别适合力学、电磁学等需要展示物体运动轨迹的场景。⚠️ 不适合：只需静态示意图的问题（用 bitmap-vectorize）、纯文字物理推导题。

[自动翻译] Memory maintenance helper for any RAG/vector database. Includes save_memory() helper, monitor and defrag script templates, hot queue support, a

[自动翻译] Performs semantic security analysis and stress testing of AI agents using vector embeddings and multi-node defense strategies.

[自动翻译] Build backend AI with Vercel AI SDK v6 stable. Covers Output API (replaces generateObject/streamObject), speech synthesis, transcription, embed

[自动翻译] Generate text embeddings via AIMLAPI. Use for semantic search, clustering, or high-dimensional text representations with text-embedding-3-large

在 Windows 上为 OpenClaw 配置本地 embedding / 本地记忆检索时使用。适用于：下载并接入 `nomic-embed-text-v1.5.Q8_0.gguf`、把 `memorySearch.provider` 改成 `local`、检查 `openclaw memory

[自动翻译] Semantic memory plugin using m3e-large embeddings with SQLite storage, supporting storage, retrieval, and deletion via cosine similarity search

[自动翻译] Use when building, embedding, customizing, or troubleshooting AR/XR experiences with the Kivicube Web Plugin, including WebAR/Web3D H5 pages, l

[自动翻译] Initialize and configure OpenClaw local embedding mode on CPU-only machines. Handles network probe, proxy fallback, GGUF model download, cmake/