Agent skill · Security

agentuity-cli-cloud-vector-search

Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill agentuity-cli-cloud-vector-search-agentuity-sdk-explorer-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: none
Version: 0.1.2
Allowed tools: Bash(agentuity:*)
Path: skills/api/agentuity-cli-cloud-vector-search-agentuity-sdk-explorer-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 bun

What's inside
Steps it walks through
  1. Prerequisites
  2. Usage
  3. Arguments
  4. Options
  5. Examples
  6. Output
Ships with 1 file
  • metadata.json
Commands it runs
agentuity cloud vector search <namespace> <query> [options]
bunx @agentuity/cli vector search products "comfortable office chair"
bunx @agentuity/cli vector list knowledge-base "machine learning"
bunx @agentuity/cli vector search docs "API documentation" --limit 5
bunx @agentuity/cli vector search products "ergonomic" --similarity 0.8
bunx @agentuity/cli vector ls embeddings "neural networks" --metadata category=ai
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About this skill
What does the agentuity-cli-cloud-vector-search skill do?

Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill agentuity-cli-cloud-vector-search-agentuity-sdk-explorer-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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