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Rust · Research · Agent Development / AGENT SKILL
core-actionbook
0
Provide actionbook MCP selectors for Rust documentation research workflows.
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.
Understand the trade-offs.
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The full skill.
Original instructions from the publisher’s SKILL.md
# 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
```json
{
"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"]
}
]
}
```