Agent Skills
› NeverSight/learn-skills.dev
› core-actionbook
core-actionbook
GitHub为浏览器自动化提供预计算的操作手册。通过关键词搜索或ID获取页面结构、DOM选择器及操作指令，辅助Agent执行点击、输入等动作，避免解析完整HTML。仅限Rust文档工作流显式调用时使用。
Trigger Scenarios
需要执行浏览器自动化操作
获取特定页面的元素选择器和操作步骤
Install
npx skills add NeverSight/learn-skills.dev --skill core-actionbook -g -y
SKILL.md
Frontmatter
{
"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
- 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"]
}
]
}
Version History
- e0220ca Current 2026-07-05 23:01
