How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/actionbook/rust-skills --skill core-actionbookBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
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
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"]
}
]
}
