> ## Documentation Index
> Fetch the complete documentation index at: https://docs.danubeai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Search Skills

> Search for skills using semantic search

## Overview

Search for skills by query using semantic search. Finds skills based on meaning, not just exact text matches.

## Parameters

<ParamField query="query" type="string" required>
  Search query to match against skill names and descriptions
</ParamField>

<ParamField query="limit" type="number" default="10">
  Maximum number of results to return
</ParamField>

## Response

<ResponseField name="skills" type="array">
  Array of matching skill objects (same structure as List Skills)
</ResponseField>

## Example

<RequestExample>
  ```bash cURL theme={null}
  curl -X GET "https://api.danubeai.com/v1/skills/search?query=extract%20pdf%20text&limit=5"
  ```
</RequestExample>

<ResponseExample>
  ```json theme={null}
  [
    {
      "id": "550e8400-e29b-41d4-a716-446655440000",
      "name": "pdf-processing",
      "description": "Extract text and tables from PDF files, fill forms, merge documents.",
      "license": "Apache-2.0",
      "metadata": {
        "author": "example-org",
        "version": "1.0"
      },
      "created_at": "2024-01-15T10:30:00Z"
    }
  ]
  ```
</ResponseExample>

## MCP Tool

This endpoint is also available as the `search_skills` MCP tool:

```python theme={null}
# Using the Danube MCP Server
result = await mcp.call_tool("search_skills", {
    "query": "extract pdf text",
    "limit": 5
})
```