Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations.
SkillScore100Maintained
Automatic
◆Knowledge Management pack
Last verified 8/19/2026
What it changes
Passed 22 of 22 test cases with the skill, and 4 of 22 without it.
Without skill18%
With skill100%
Checks it passed that the model alone missed
The response specifies `gno models pull` to download new models.
The response specifies `gno models list` to list available models.
The response identifies `gno mcp install` to set up the MCP server.
and 19 more in the full report
18 fixed4 passed either way0 still failing0 broke
Pass-rate lift
+82 pp
Tokens
-5%
Agent turns
0%
Response time
-69%
Model gemini-3.6-flashMeasured 8/19/2026v122 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 18 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 18
Prompt
I just saved a bunch of markdown files in my `~/projects/kb` folder. I'd like to set this folder up in gno as a collection named 'kb', index the files so vector and meaning-based search works, and run a semantic search query for 'machine learning pipeline' formatted as raw JSON. What CLI commands should I run?
What was checked, without and with the skill
Checked
Without skill
With skill
The response specifies `gno collection add ~/projects/kb --name kb` to add the folder as a collection.
Missed
Passed
The response specifies running `gno index` or `gno embed` to build the vector index.
Passed
Passed
The response specifies `gno vsearch` or `gno query` with the `--json` flag to perform semantic search with JSON output.
Missed
Passed
case-01 · gemini-3.6-flash · 8/19/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md101 linessingle file
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