--- name: semantic-search description: 企业级语义检索技能，支持表格/字段/文件搜索和 Text-to-SQL 数据生成 author: 小白 (基于 semantic_search 项目定制) metadata: openc
--- name: quotewise description: Semantic quote search with source transparency. Find quotes by meaning, not keywords. metadata: {"openclaw":{"emoji":"📚","homepage":"https://quotewise.io","primaryE
The master coordinator for AI skills. Discovers skills from multiple sources (SkillsMP.com, SkillHub, and ClawHub), manages installation, and synchronization...
Use this skill when users need to search academic papers, download research documents, extract citations, or gather scholarly information. Triggers include: requests to "find papers on", "search resea
Recall user memories from the Notion Memory Store. Trigger PROACTIVELY at the beginning of conversations where knowing the user's background, preferences, pa...
Local-first agent memory with Ebbinghaus decay, hybrid search, and MCP tools. Import files, extract facts, search with BM25 + semantic, track confidence over...
--- 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
Semantic search tool to quickly find answers across multiple code repositories with AI memory of your preferences for faster documentation lookup.
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
Read GitHub repos the RIGHT way - via gitmcp.io instead of raw scraping. Why this beats web search: (1) Semantic search across docs, not just keyword matching, (2) Smart code navigation with accurate
Search and retrieve markdown documents from local knowledge bases using qmd. Supports BM25 keyword search, vector semantic search, and hybrid search with LLM re-ranking. Use for querying indexed notes
MongoDB-backed long-term semantic memory for recalling, storing, searching, and managing facts, decisions, and user preferences across sessions.
Memory-as-a-Service for AI agents. Store and recall memories with semantic vector search. 100 free calls per wallet, then x402 micropayments. Your wallet add...
Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche ma
Create and manage modular portable database pods (SQLite + metadata + embeddings). Includes document ingestion with embeddings for semantic search. Full auto...
Integrates the SwiftScholar HTTP API for searching, submitting, and analyzing academic papers. Use when the user wants to search literature, submit PDFs/URLs for parsing, retrieve analyses, manage fav
MidOS — The MCP Knowledge OS. 134 tools for knowledge management, multi-agent orchestration, search, planning, and memory. 670K+ vectors, 46K+ chunks, EUREKA...
Documentation and capabilities reference for Moss semantic search. Use for understanding Moss APIs, SDKs, and integration patterns.
CLI tool for capturing and retrieving thoughts as a second brain. Stores memories as daily markdown journals with optional semantic search. USE FOR: - Captur...
RAG and semantic search via OpenViking Context Database MCP server. Query documents, search knowledge base, add files/URLs to vector memory. Use for document Q&A, knowledge management, AI agent memory
Smart memory search with automatic vector fallback. Uses semantic embeddings when available, falls back to built-in search otherwise. Zero configuration - works immediately after ClawHub install. No s
End-to-end encrypted cloud memory for AI agents. 100GB free storage. Store memories, files, and secrets securely.
Searchable conversation memory that survives context compaction. Indexes session transcripts into SQLite with full-text and semantic search so your agent can...