// 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.
CRITICAL: Use for ALL Rust questions including errors, design, and coding. HIGHEST PRIORITY for: 比较, 对比, compare, vs, versus, 区别, difference, 最佳实践, best practice, tokio vs, async-std vs, 比较 tokio, 比较 async, Triggers on: Rust, cargo, rustc, crate, Cargo.toml, 意图分析, 问题分析, 语义分析, analyze intent, question analysis, compile error, borrow error, lifetime error, ownership error, type error, trait error, value moved, cannot borrow, does not live long enough, mismatched types, not satisfied, E0382, E0597, E0277, E0308, E0499, E0502, E0596, async, await, Send, Sync, tokio, concurrency, error handling, 编译错误, compile error, 所有权, ownership, 借用, borrow, 生命周期, lifetime, 类型错误, type error, 异步, async, 并发, concurrency, 错误处理, error handling, 问题, problem, question, 怎么用, how to use, 如何, how to, 为什么, why, 什么是, what is, 帮我写, help me write, 实现, implement, 解释, explain
Internal support skill for agent-browser CLI workflows used by rust-learner, docs-researcher, and crate-researcher. Use only when browser automation is explicitly required.
Internal command support for dynamic Rust crate skill management. Use only when explicitly invoked by /sync-crate-skills, /clean-crate-skills, or /update-crate-skill.
Internal maintenance support for checking and fixing generated Rust skill documentation references. Use only when explicitly invoked by /fix-skill-docs.
EXPERIMENTAL: Three-layer parallel meta-cognition analysis. Triggers on: /meta-parallel, 三层分析, parallel analysis, 并行元认知
CRITICAL: Use for Rust news and daily/weekly/monthly reports. Triggers on: rust news, rust daily, rust weekly, TWIR, rust blog, Rust 日报, Rust 周报, Rust 新闻, Rust 动态
| 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 |
Pre-computed action manuals for browser automation. Agents receive structured page information instead of parsing entire HTML.
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 metadatasearch_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){
"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"]
}
]
}