Fetch & embed AI transcripts as Obsidian callouts. Args: <path>, all, refresh <path>. Prompts for URLs if empty.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Search vault notes by keyword or meaning. Args: <query>. Uses QMD (lex, vec, deep search).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Local search engine for markdown content.
!qmd status 2>/dev/null || echo "Not installed: npm install -g @tobilu/qmd"
query{
"searches": [
{ "type": "lex", "query": "CAP theorem consistency" },
{ "type": "vec", "query": "tradeoff between consistency and availability" }
],
"collections": ["docs"],
"limit": 10
}
| Type | Method | Input |
|---|---|---|
lex | BM25 | Keywords — exact terms, names, code |
vec | Vector | Question — natural language |
hyde | Vector | Answer — hypothetical result (50-100 words) |
lex (keyword)
"connection pool" (quoted)performance -sports (minus prefix)handleError asyncvec (semantic)
"how does the rate limiter handle burst traffic""in the payment service, how are refunds processed"hyde (hypothetical document)
expand (auto-expand)
expand: question on its own lineexpand: with other typed lines — it's either a standalone expand query or a full query document| Goal | Approach |
|---|---|
| Know exact terms | lex only |
| Don't know vocabulary | Use a single-line query (implicit expand:) or vec |
| Best recall | lex + vec |
| Complex topic | lex + vec + hyde |
First query gets 2x weight in fusion — put your best guess first.
| Syntax | Meaning | Example |
|---|---|---|
term | Prefix match | perf matches "performance" |
"phrase" | Exact phrase | "rate limiter" |
-term | Exclude | performance -sports |
Note: -term only works in lex queries, not vec/hyde.
{ "collections": ["docs"] } // Single
{ "collections": ["docs", "notes"] } // Multiple (OR)
Omit to search all collections.
| Tool | Use |
|---|---|
get | Retrieve doc by path or #docid |
multi_get | Retrieve multiple by glob/list |
status | Collections and health |
qmd query "question" # Auto-expand + rerank
qmd query $'lex: X\nvec: Y' # Structured
qmd query $'expand: question' # Explicit expand
qmd search "keywords" # BM25 only (no LLM)
qmd get "#abc123" # By docid
qmd multi-get "journals/2026-*.md" -l 40 # Batch pull snippets by glob
qmd multi-get notes/foo.md,notes/bar.md # Comma-separated list, preserves order
curl -X POST http://localhost:8181/query \
-H "Content-Type: application/json" \
-d '{"searches": [{"type": "lex", "query": "test"}]}'
npm install -g @tobilu/qmd
qmd collection add ~/notes --name notes
qmd embed
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Fetch & embed AI transcripts as Obsidian callouts. Args: <path>, all, refresh <path>. Prompts for URLs if empty.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Stage and commit with flexible intent parsing. Accepts file/folder scope, free-text description, amend, or any combination.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Resolve and fill Participants frontmatter + link unlinked names in body. Args: <path>, all.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extract action items as plain markdown bullets (with confirmation). Args: <path>. No args = run [/note-status pending --step=todos](../note-status/SKILL.md#pending-mode).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.