/core-actionbook

name: core-actionbook
description: "Internal support skill for actionbook MCP selectors used by Rust documentation research workflows. Use only when another rust-skills workflow explicitly requests actionbook-backed selectors."
user-invocable: false
disable-model-invocation: true

Actionbook

Pre-computed action manuals for browser automation. Agents receive structured page information instead of parsing entire HTML.

Workflow

1. **search_actions** - Search by keyword, returns URL-based action IDs with content previews 2. **get_action_by_id** - Get full action manual with page details, DOM structure, and element selectors 3. **Execute** - Use returned selectors with your browser automation tool

MCP Tools

• `search_actions` - Search by keyword. Returns: URL-based action IDs, content previews, relevance scores
• `get_action_by_id` - Get full action details. Returns: action content, page element selectors (CSS/XPath), element types, allowed methods (click, type, extract), document metadata

Parameters

**search_actions**:

• `query` (required): Search keyword (e.g., "airbnb search", "google login")
• `type`: `vector` | `fulltext` | `hybrid` (default)
• `limit`: Max results (default: 5)
• `sourceIds`: Filter by source IDs (comma-separated)
• `minScore`: Minimum relevance score (0-1)

**get_action_by_id**:

• `id` (required): URL-based action ID (e.g., `example.com/page`)

Example Response

{
  "title": "Airbnb Search",
  "url": "www.airbnb.com/search",
  "elements": [
    {
      "name": "location_input",
      "selector": "input[data-testid='structured-search-input-field-query']",
      "type": "textbox",
      "methods": ["type", "fill"]
    }
  ]
}