OpenClaw AI 技能

[自动翻译] Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the we

[自动翻译] Local-first RAG cache: distill docs into structured Markdown, then index/query with Chroma (vector) + ripgrep (keyword).

[自动翻译] Build, optimize, and debug RAG pipelines with chunking strategies, retrieval tuning, evaluation metrics, and production monitoring.

[自动翻译] Local-first RAG cache: distill docs into structured Markdown, then index/query with Chroma + hybrid search (vector + keyword).

[自动翻译] Local-first RAG cache: distill docs into structured Markdown, then index/query with Chroma + hybrid search (vector + keyword).

[自动翻译] Provides answers by retrieving and synthesizing information from local text or markdown files using a retrieval-augmented generation approach.

[自动翻译] Evaluate your RAG pipeline quality using Ragas metrics (faithfulness, answer relevancy, context precision).

高级 RAG 助手，具备 Agentic RAG 思考能力。能够自动化管理 RAGTOP 知识库，并在执行深度调研任务时，调用 RAGTOP 后端接口。使用场景包括：(1) 列出知识库和文档，(2) 执行语义检索和深度分析。

[自动翻译] Use the shared Pinecone RAG index for any agent in this workspace. Use when an agent needs to ingest markdown/text docs into pulse-rag or query

[自动翻译] Cognitive memory system for AI agents — Atkinson-Shiffrin memory model, semantic RAG, trust scoring, and metacognitive error prevention. Gives

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.

[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

[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] Build vector search with Weaviate using v4 syntax, proper module configuration, and production-ready patterns.

[自动翻译] AI-native SVG vector graphics generation tool. Use when generating SVG graphics from text prompts or converting images to SVG. Supports: (1) Te

[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] Reference tool for devtools — covers intro, quickstart, patterns and more. Quick lookup for Vector concepts, best practices, and implementation

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

[自动翻译] Generate, store, and search vector embeddings with provider selection, chunking strategies, and similarity search optimization.