OpenClaw AI 技能

[自动翻译] Build and query focused knowledge graph subgraphs locally on resource-limited edge devices for low-latency, offline-aware reasoning and increme

🌐 Edge/Chrome CDP Connector — 一键唤醒你的浏览器！跨平台支持 Linux/Windows/macOS，Edge 和 Chrome 自动切换。所有网页相关任务必须使用本技能。

[自动翻译] Generate and prioritize US equity long-side edge research tickets from EOD observations, then export pipeline-ready candidate specs for trade-s

[自动翻译] EdgeDB integration. Manage data, records, and automate workflows. Use when the user wants to interact with EdgeDB data.

[自动翻译] Configure, optimize, and troubleshoot CDN deployments with caching strategies, security hardening, and multi-provider management.

[自动翻译] MCP server for Clude's 4-tier cognitive memory system — store, recall, search, and dream. Built on Supabase + pgvector with type-specific decay

[自动翻译] Intelligent memory management for agents with short/long-term memory layering, semantic search, auto summarization, RAG enhancement

[自动翻译] Long-term memory management system for OpenClaw agents. Automatically archives conversations, organizes memories, and provides semantic search

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

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