How do I install the Agentuity CLI Cloud Vector Search skill?

Run npx skillmds@latest add aibot88/agentuity-cli-cloud-vector-search in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Agentuity CLI Cloud Vector Search safe to use?

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Which AI agents work with Agentuity CLI Cloud Vector Search?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Agentuity CLI Cloud Vector Search free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under Apache-2.

Who published Agentuity CLI Cloud Vector Search?

aibot88 (@aibot88) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Agentuity CLI Cloud Vector Search by aibot88

Name: Agentuity CLI Cloud Vector Search
Rating: 4.2 (5 reviews)
Author: aibot88

File contents

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

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:

bunx @agentuity/cli vector search products "comfortable office chair"

Search knowledge base:

bunx @agentuity/cli vector list knowledge-base "machine learning"

Limit results:

bunx @agentuity/cli vector search docs "API documentation" --limit 5

Set minimum similarity:

bunx @agentuity/cli vector search products "ergonomic" --similarity 0.8

Filter by metadata:

bunx @agentuity/cli vector ls embeddings "neural networks" --metadata category=ai

Output

Returns JSON object:

{
  "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

---name: agentuity-cli-cloud-vector-searchdescription: Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operationslicense: Apache-2.0--- # 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 |

Frequently asked questions

Agentuity CLI Cloud Vector Search