模块化智能记忆系统，支持多平台 embeddings、智能重排序和 Flomo 笔记导入，实现高效语义搜索与管理。
Voyage AI embedding and reranking CLI integrated with MongoDB Atlas Vector Search. Use for: generating text embeddings, reranking search results, storing embeddings in Atlas, performing vector similar
统一封装博查（Bocha）全系搜索接口（Web Search / AI Search / Agent Search / Reranker），使用 Node.js 脚本调用并支持标准参数与原始 JSON 透传。用户提到“博查搜
--- name: memory-lancedb-hybrid description: LanceDB long-term memory plugin with BM25 + vector hybrid search (RRF or linear reranking). --- # LanceDB Hybrid Search (Memory Plugin) This skill packag
Fast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running l
SOTA Memory Suite — auto-recall, cross-encoder reranking, multi-hop deep search, causal knowledge graph, episodic memory, and nightly sleep-cycle consolidation.
--- name: qmd description: Local search/indexing CLI (BM25 + vectors + rerank) with MCP mode. homepage: https://tobi.lutke.com metadata: {"clawdbot":{"emoji":"📝","requires":{"bins":["qmd"]},"instal
Free web search and semantic reranking API for AGI applications. Use when you need to perform web searches, retrieve current information from the internet, o...
LanceDB long-term memory plugin with BM25 + vector hybrid search (RRF or linear reranking).
LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval (vector/timeline/knowledge graph), short/long-term memory, and comp
统一封装博查（Bocha）全系搜索接口（Web Search / AI Search / Agent Search / Reranker），使用 Node.js 脚本调用并支持标准参数与原始 JSON 透传。用户提到“博查搜索/联网搜索/AI 搜索/Agent 搜索/重排/rerank/事实核查/行业研报检索”时使用。
Local search and indexing CLI (BM25 + vectors + rerank) with MCP mode. And also 50+ models for image generation, video generation, text-to-speech, speech-to-...
Local search/indexing CLI (BM25 + vectors + rerank) with MCP mode.
Search knowledge from Qianfan Knowledgebase. Use this when you need to retrieve information from user's private knowledge bases on Baidu Qianfan platform.
--- name: dify-kb-search description: Search Dify Knowledge Base (Dataset) to get accurate context for RAG-enhanced answers. metadata: openclaw: requires: env: - DIFY_API_KEY
Cohere integration. Manage Documents, Models, Datasets, Jobs. Use when the user wants to interact with Cohere data.
--- name: "rag-architect" description: "RAG Architect - POWERFUL" --- # RAG Architect - POWERFUL ## Overview The RAG (Retrieval-Augmented Generation) Architect skill provides comprehensive tools an
Run a minimal test matrix for the Model Studio skills that exist in this repo, including image/video/audio, realtime speech, omni, visual reasoning, embeddin...