gno

SKILL.md

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

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
Tags tags, tags add, tags rm Organize and filter documents
Context context add/list/rm/check Add hints to improve search relevance
Models models list/use/pull/clear/path Manage local AI models
Serve serve Web UI for browsing and searching
MCP mcp, mcp install/uninstall/status AI assistant integration
Skill skill install/uninstall/show/paths Install skill for AI agents
Admin status, doctor, cleanup, reset, vec, completion Maintenance and diagnostics

Search Modes

Command Speed Best For
gno search instant Exact keyword matching
gno vsearch ~0.5s Finding similar concepts
gno query --fast ~0.7s Quick lookups
gno query ~2-3s Balanced (default)
gno query --thorough ~5-8s Best recall, complex queries
gno ask --answer ~3-5s AI-generated answer with citations

Retry strategy: Use default first. If no results: rephrase query, then try --thorough.

Common Flags

-n <num>              Max results (default: 5)
-c, --collection      Filter to collection
--tags-any <t1,t2>    Has ANY of these tags
--tags-all <t1,t2>    Has ALL of these tags
--json                JSON output
--files               URI list output
--line-numbers        Include line numbers

Global Flags

--index <name>    Alternate index (default: "default")
--config <path>   Override config file
--verbose         Verbose logging
--json            JSON output
--yes             Non-interactive mode
--offline         Use cached models only
--no-color        Disable colors
--no-pager        Disable paging

Important: Embedding After Changes

If you edit/create files that should be searchable via vector search:

gno index              # Full re-index (sync + embed)
# or
gno embed              # Embed only (if already synced)

MCP gno.sync and gno.capture do NOT auto-embed. Use CLI for embedding.

Reference Documentation

Topic File
Complete CLI reference (all commands, options, flags) cli-reference.md
MCP server setup and tools mcp-reference.md
Usage examples and patterns examples.md
Weekly Installs
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Repository
clawdbot/skills
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