Agent skill
actionbook
Access pre-computed website action manuals containing page descriptions, functionality, DOM structure, and element selectors for browser automation. Use when you need CSS/XPath selectors for UI elements, building browser-based AI agents, or looking up how to interact with a website's UI.
Install this agent skill to your Project
npx add-skill https://github.com/actionbook/actionbook/tree/main/playground/rust-learner/skills/actionbook
SKILL.md
Actionbook
Pre-computed action manuals for browser automation. Agents receive structured page information instead of parsing entire HTML.
Workflow
- search_actions - Search by keyword, returns URL-based action IDs with content previews
- get_action_by_id - Get full action manual with page details, DOM structure, and element selectors
- Execute - Use returned selectors with your browser automation tool
MCP Tools
search_actions- Search by keyword. Returns: URL-based action IDs, content previews, relevance scoresget_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"]
}
]
}
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