agentuity-cli-cloud-vector-search
Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations
Best use case
agentuity-cli-cloud-vector-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations
Teams using agentuity-cli-cloud-vector-search should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agentuity-cli-cloud-vector-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agentuity-cli-cloud-vector-search Compares
| Feature / Agent | agentuity-cli-cloud-vector-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Cloud Vector Search
Search for vectors using semantic similarity
## Prerequisites
- Authenticated with `agentuity auth login`
- Project context required (run from project directory or use `--project-id`)
## Usage
```bash
agentuity cloud vector search <namespace> <query> [options]
```
## Arguments
| Argument | Type | Required | Description |
|----------|------|----------|-------------|
| `<namespace>` | string | Yes | - |
| `<query>` | string | Yes | - |
## Options
| Option | Type | Required | Default | Description |
|--------|------|----------|---------|-------------|
| `--limit` | number | Yes | - | maximum number of results to return (default: 10) |
| `--similarity` | number | Yes | - | minimum similarity threshold (0.0-1.0) |
| `--metadata` | string | Yes | - | filter by metadata (format: key=value or key1=value1,key2=value2) |
## Examples
Search for similar products:
```bash
bunx @agentuity/cli vector search products "comfortable office chair"
```
Search knowledge base:
```bash
bunx @agentuity/cli vector list knowledge-base "machine learning"
```
Limit results:
```bash
bunx @agentuity/cli vector search docs "API documentation" --limit 5
```
Set minimum similarity:
```bash
bunx @agentuity/cli vector search products "ergonomic" --similarity 0.8
```
Filter by metadata:
```bash
bunx @agentuity/cli vector ls embeddings "neural networks" --metadata category=ai
```
## Output
Returns JSON object:
```json
{
"namespace": "string",
"query": "string",
"results": "array",
"count": "number"
}
```
| Field | Type | Description |
|-------|------|-------------|
| `namespace` | string | Namespace name |
| `query` | string | Search query used |
| `results` | array | Search results |
| `count` | number | Number of results found |Related Skills
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