secondbrain-search
SKILL.md
Semantic Search
Search your secondbrain knowledge base using semantic similarity (meaning-based) and full-text search.
Prerequisites
-
qmd installed: Check with
which qmd- Install:
bun install -g qmdornpm install -g qmd - First run downloads ~1.5GB models
- Install:
-
Search initialized: Check for
.claude/search/directory- If not initialized, suggest running
/secondbrain-search-init
- If not initialized, suggest running
Usage
/secondbrain-search "your natural language query"
/secondbrain-search --entity=adrs "database migration"
/secondbrain-search --recent=30d "authentication"
/secondbrain-search --status=active --tag=kubernetes "deployment"
Workflow
Step 1: Validate Environment
# Check qmd is installed
which qmd
# Check search is initialized
ls .claude/search/
If qmd not installed:
qmd is not installed. Install it with:
bun install -g qmd
# or
npm install -g qmd
Then initialize search with: /secondbrain-search-init
If search not initialized:
Search not initialized for this project.
Run: /secondbrain-search-init
Step 2: Parse Query and Filters
Extract from user input:
| Filter | Syntax | Example |
|---|---|---|
| Entity | --entity=<type> |
--entity=adrs,notes |
| Recent | --recent=<period> |
--recent=7d, --recent=2w, --recent=1m |
| Date from | --from=<date> |
--from=2025-01-01 |
| Date to | --to=<date> |
--to=2025-12-31 |
| Status | --status=<status> |
--status=active, --status=!archived |
| Tag | --tag=<tag> |
--tag=kubernetes |
| Limit | --limit=<n> |
--limit=10 (default: 5) |
| Format | --format=<fmt> |
--format=brief, --format=detailed, --format=json |
Step 3: Execute Search
Run qmd search command:
cd <project_root>
qmd query "<user_query>" --json --limit=<limit>
Parse JSON output:
{
"results": [
{
"id": "docs/adrs/ADR-0012-kubernetes-deployment.md",
"score": 0.92,
"title": "Kubernetes Deployment Strategy",
"excerpt": "We decided to use Blue-Green deployment for stateless services...",
"metadata": {
"frontmatter": {
"status": "implemented",
"created": "2025-12-15"
}
}
}
]
}
Step 4: Enrich with Metadata
Load YAML records to add entity-specific metadata:
For each result:
- Determine entity type from file path (e.g.,
docs/adrs/→ ADRs) - Load corresponding records from
.claude/data/<entity>/records.yaml - Match by file path and enrich with status, tags, dates, etc.
Step 5: Apply Post-Filters
Filter results based on user criteria:
# Pseudocode
for result in results:
if entity_filter and result.entity not in entity_filter:
skip
if status_filter and result.status != status_filter:
skip
if tag_filter and tag_filter not in result.tags:
skip
if date_filter and not in_date_range(result.date, from_date, to_date):
skip
Step 6: Format Output
Brief Format (default for >3 results)
## Search Results
**Query:** "kubernetes deployment"
**Results:** 4 matches
1. **[ADR-0012] Kubernetes Deployment Strategy** (0.92)
Status: implemented | Updated: 2025-12-15
2. **[Note] Kubernetes Scaling Best Practices** (0.87)
Tags: kubernetes, scaling | Created: 2025-11-20
3. **[Discussion] Platform Team - Deployment Pipeline** (0.79)
Date: 2025-10-05 | Participants: Alice, Bob
4. **[Task] Implement Canary Deployments** (0.71)
Status: in_progress | Priority: high
Detailed Format (default for ≤3 results)
## Search Results
**Query:** "kubernetes deployment"
**Results:** 2 matches
---
### 1. [ADR-0012] Kubernetes Deployment Strategy
**Score:** 0.92 | **Status:** implemented | **Category:** infrastructure
**File:** [ADR-0012-kubernetes-deployment.md](docs/adrs/ADR-0012-kubernetes-deployment.md)
**Excerpt:**
> We decided to use Blue-Green deployment for stateless services
> and Rolling updates for stateful workloads. This approach provides
> zero-downtime deployments while minimizing resource overhead...
**Metadata:**
- Created: 2025-12-15
- Author: sergey
- Category: infrastructure
---
### 2. [Note] Kubernetes Scaling Best Practices
**Score:** 0.87 | **Tags:** kubernetes, scaling
**File:** [2025-11-20-kubernetes-scaling.md](docs/notes/2025-11-20-kubernetes-scaling.md)
**Excerpt:**
> Key considerations for scaling Kubernetes deployments:
> 1. Horizontal Pod Autoscaler configuration
> 2. Resource requests and limits
> 3. Pod disruption budgets...
**Metadata:**
- Created: 2025-11-20
- Status: active
JSON Format
{
"query": "kubernetes deployment",
"total": 4,
"results": [
{
"entity": "adrs",
"id": "ADR-0012",
"title": "Kubernetes Deployment Strategy",
"file": "docs/adrs/ADR-0012-kubernetes-deployment.md",
"score": 0.92,
"excerpt": "We decided to use Blue-Green deployment...",
"metadata": {
"status": "implemented",
"category": "infrastructure",
"created": "2025-12-15",
"author": "sergey"
}
}
]
}
Search Tips
Display helpful tips when no results found:
## No Results Found
**Query:** "foobar nonexistent"
### Tips
1. **Try broader terms** — Use general concepts instead of specific jargon
2. **Check spelling** — Semantic search handles typos but exact terms may miss
3. **Remove filters** — Try without --entity or --status filters first
4. **Use related concepts** — "authentication" instead of "OAuth2"
### Alternative Actions
- `/secondbrain-freshness` — See all recent content
- Run without filters: `/secondbrain-search "foobar"`
Refine Search
After showing results, offer refinement options:
### Refine Search
- `--entity=adrs` — Filter to ADRs only
- `--recent=30d` — Limit to last 30 days
- `--status=active` — Exclude archived items
- `"kubernetes AND deployment"` — Boolean operators
Related Skills
- secondbrain-search-init — Initialize search for this project
- secondbrain-freshness — View items by freshness/staleness
Weekly Installs
17
Repository
sergio-bershadsky/aiGitHub Stars
4
First Seen
Jan 25, 2026
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