
Core Actionbook
This is a backend support skill that feeds pre-computed browser automation instructions to Rust documentation workflows. It's not meant to be called directly. Instead, other rust-skills will invoke it to grab structured page data through the actionbook MCP server. You search for actions by keyword like "airbnb search" and get back selector-ready JSON with CSS paths, element types, and allowed methods. The pitch is you skip parsing raw HTML yourself. It's narrow in scope, explicitly marked as non-user-invocable, and really only makes sense if you're already running one of those Rust research workflows that knows how to ask for it.
- skills.sh installs
- 2K
- GitHub stars
- 1.6K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add actionbook/rust-skills --skill core-actionbook --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
Sponsors
Details
- Repository
- github.com/actionbook/rust-skills
- Categories
- Documentation, AI & Agent Building, Data Science & ML, Automation & Workflows, Rust
- First seen
- Jul 14, 2026
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