/rust-learner
Learn Rust language features and crate updates. Use when user asks about Rust version changelog, what's new in Rust, crate updates, Cargo.toml dependencies, tokio/serde/axum features, or any Rust ecosystem questions.
$ npx -y skills add actionbook/actionbook --skill rust-learner --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/rust-learner
Context preview
The summary Claude sees to decide when to auto-load this skill.
Learn Rust language features and crate updates. Use when user asks about Rust version changelog, what's new in Rust, crate updates, Cargo.toml dependencies, tokio/serde/axum features, or any Rust ecosystem questions.
SKILL.md
rust-learner.SKILL.mdname: rust-learner
description: Learn Rust language features and crate updates. Use when user asks about Rust version changelog, what's new in Rust, crate updates, Cargo.toml dependencies, tokio/serde/axum features, or any Rust ecosystem questions.
Rust Learner
Learn Rust by fetching real-time information about Rust language features and crate updates.
⚠️ Tool Priority & Waiting Rule
**Priority:** 1. ✅ `browser-fetcher` agent (preferred) 2. ⚠️ `Fetch` / `WebFetch` (only after all browser-fetcher agents fail) 3. ⚠️ `WebSearch` (only when search engine results are needed)
**⛔ No "Racing Ahead":**
- After launching browser-fetcher agents, **MUST wait for ALL of them to complete**
- **DO NOT** use WebSearch/Fetch as "supplements" while waiting
- Only use fallback tools after **ALL** browser-fetcher agents have failed
Workflow
Step 1: actionbook MCP
search_actions("lib.rs crate") → get action ID
get_action_by_id(id) → get URL and selectorsStep 2: Launch browser-fetcher agents
Launch multiple browser-fetcher agents in parallel
Step 3: Wait for ALL agents to complete
⛔ DO NOT use other tools during this time
✅ Wait for TaskOutput to return all results
Step 4: Summarize results
- If agents succeed: summarize content for user
- If ALL agents fail: use Fetch as fallback
Example
User: Query tokio latest version
✅ CORRECT:
1. Launch browser-fetcher: lib.rs/crates/tokio
2. Launch browser-fetcher: crates.io/crates/tokio
3. Wait for BOTH agents to complete
4. Summarize results
❌ WRONG:
1. Launch browser-fetcher agents
2. While waiting, use WebSearch("tokio latest") ← Racing ahead!
3. Mix multiple result sourcesRead more
name: rust-learner description: Learn Rust language features and crate updates. Use when user asks about Rust version changelog, what's new in Rust, crate updates, Cargo.toml dependencies, tokio/serde/axum features, or any Rust ecosystem questions.
Rust Learner
Learn Rust by fetching real-time information about Rust language features and crate updates.
⚠️ Tool Priority & Waiting Rule
**Priority:** 1. ✅ `browser-fetcher` agent (preferred) 2. ⚠️ `Fetch` / `WebFetch` (only after all browser-fetcher agents fail) 3. ⚠️ `WebSearch` (only when search engine results are needed)
**⛔ No "Racing Ahead":**
- After launching browser-fetcher agents, **MUST wait for ALL of them to complete**
- **DO NOT** use WebSearch/Fetch as "supplements" while waiting
- Only use fallback tools after **ALL** browser-fetcher agents have failed
Workflow
Step 1: actionbook MCP
search_actions("lib.rs crate") → get action ID
get_action_by_id(id) → get URL and selectorsStep 2: Launch browser-fetcher agents
Launch multiple browser-fetcher agents in parallel
Step 3: Wait for ALL agents to complete
⛔ DO NOT use other tools during this time ✅ Wait for TaskOutput to return all results
Step 4: Summarize results
- If agents succeed: summarize content for user
- If ALL agents fail: use Fetch as fallback
Example
User: Query tokio latest version
✅ CORRECT:
1. Launch browser-fetcher: lib.rs/crates/tokio
2. Launch browser-fetcher: crates.io/crates/tokio
3. Wait for BOTH agents to complete
4. Summarize results
❌ WRONG:
1. Launch browser-fetcher agents
2. While waiting, use WebSearch("tokio latest") ← Racing ahead!
3. Mix multiple result sourcesActionbook turns the websites you work in every day into something your AI agent can actually operate. Direct API requests when possible, UI automation when not, with login handled. Fast and resilient.
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