Overview
- Skill Key
- gmickel/gno
- Author
- gmickel
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/gmickel/gno
- Latest Commit SHA
- 4da9c988717091b9dec50b145ca1e3cde835c704
Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wants to search files, find documents, query notes, look up information in local folders, index a directory, set up document search, build a knowledge base, needs RAG/semantic search, or wants to start a local web UI for their docs.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 gno 技能。 若已安装,则直接安装 gno 技能。
# GNO - Local Knowledge Engine Fast local semantic search. Index once, search instantly. No cloud, no API keys. ## When to Use This Skill - User asks to **search files, documents, or notes** - User wants to **find information** in local folders - User needs to **index a directory** for searching - User mentions **PDFs, markdown, Word docs, code** to search - User asks about **knowledge base** or **RAG** setup - User wants **semantic/vector search** over their files - User needs to **set up MCP** for document access - User wants a **web UI** to browse/search documents - User asks to **get AI answers** from their documents - User wants to **tag, categorize, or filter** documents - User asks about **backlinks, wiki links, or related notes** - User wants to **visualize document connections** or see a **knowledge graph** ## Quick Start ```bash gno init # Initialize in current directory gno collection add ~/docs --name docs # Add folder to index gno index # Build index (ingest + embed) gno search "your query" # BM25 keyword search ``` ## Command Overview | Category | Commands | Description | | ------------ | ---------------------------------------------------------------- | --------------------------------------------------------- | | **Search** | `search`, `vsearch`, `query`, `ask` | Find documents by keywords, meaning, or get AI answers | | **Links** | `links`, `backlinks`, `similar`, `graph` | Navigate document relationships and visualize connections | | **Retrieve** | `get`, `multi-get`, `ls` | Fetch document content by URI or ID | | **Index** | `init`, `collection add/list/remove`, `index`, `update`, `embed` | Set up and maintain document index...
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