/q - Quick SQLite Search
SkillSearchFast SQLite-based vault search using FTS5 full-text search index
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the /q - Quick SQLite Search skill
What this skill tells your AI
The instructions your AI receives, as published by davidroliverba/architectkb in .claude/skills/q/SKILL.md and read by ahel’s review.
Fast vault search using the SQLite FTS5 index. Returns results in milliseconds instead of seconds.
Prerequisites
The SQLite index must be built first:
npm run vault:index
Usage Patterns
Full-text Search
/q architecture patterns
/q "event driven" # Phrase search
/q kafka integration # Multiple terms (AND)
Type Filter
/q type:Adr # All ADRs
/q type:Project status:active
/q type:Task priority:high
Tag Search
/q tag:technology/aws
/q tag:project/your-project
Recent Notes
/q recent # Modified in last 7 days
/q recent:30 # Modified in last 30 days
Backlinks
/q backlinks:"Project - Your Project"
/q backlinks:"System - Your System"
Orphans
/q orphans # Notes with no backlinks
Implementation
Execute the appropriate SQLite query based on the search pattern.
Full-text Search Query
sqlite3 .data/vault.db -markdown "
SELECT n.path, snippet(fts_content,1,'→','←','...',40) as match
FROM fts_content
JOIN notes n ON fts_content.rowid = n.id
WHERE fts_content MATCH '<search_terms>'
ORDER BY rank
LIMIT 20
"
Type Filter Query
sqlite3 .data/vault.db -markdown "
SELECT path, title, status, priority
FROM notes
WHERE type = '<Type>'
ORDER BY modified DESC
LIMIT 20
"
Tag Search Query
sqlite3 .data/vault.db -markdown "
SELECT n.path, n.title, n.type
FROM notes n
JOIN tags t ON n.id = t.note_id
WHERE t.tag = '<tag>'
ORDER BY n.modified DESC
LIMIT 20
"
Recent Notes Query
sqlite3 .data/vault.db -markdown "
SELECT path, title, type, modified
FROM notes
WHERE modified >= date('now', '-<days> days')
ORDER BY modified DESC
LIMIT 30
"
Backlinks Query
sqlite3 .data/vault.db -markdown "
SELECT n.path, n.title, n.type
FROM notes n
JOIN links l ON n.id = l.source_id
WHERE l.target_path LIKE '%<note_name>%'
ORDER BY n.modified DESC
"
Orphans Query
sqlite3 .data/vault.db -markdown "
SELECT n.path, n.title, n.type
FROM notes n
LEFT JOIN links l ON n.id = l.target_id
WHERE l.target_id IS NULL
AND n.type NOT IN ('DailyNote', 'MOC', 'Dashboard', 'Query')
ORDER BY n.modified DESC
"
Performance
| Query Type | Grep/Glob | SQLite | Improvement |
|---|---|---|---|
| Full-text | 5-15 sec | 0.01s | ~1000x |
| Type filter | 3-5 sec | 0.007s | ~500x |
| Tag search | 2-5 sec | 0.007s | ~500x |
| Backlinks | 10+ sec | 0.01s | ~1000x |
Rebuilding the Index
The index should be rebuilt when vault content changes significantly:
npm run vault:index # Full rebuild
npm run vault:stats # View current statistics
Tips
- Combine filters:
/q type:Adr status:proposed technology/aws - Use phrases:
/q "data platform"for exact matches - Wildcards: SQLite FTS5 supports
*wildcards:/q architect* - Present results: Format output as markdown table for readability
Signals
- GitHub stars
- 52
- Forks
- 12
- Last commit
- Mar 2026
Advanced
- Catalog kind
- skill
- Gateway key
q-davidroliverba- Source
- github.com/davidroliverba/architectkb