Rust learner
Skill actionbook/actionbook/playground/rust-learner/skills/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.From its SKILL.md
npx -y skills add actionbook/actionbook --skill rust-learnerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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Rust Learner
Learn Rust by fetching real-time information about Rust language features and crate updates.
⚠️ Tool Priority & Waiting Rule
Priority:
- ✅
browser-fetcheragent (preferred) - ⚠️
Fetch/WebFetch(only after all browser-fetcher agents fail) - ⚠️
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 selectors
Step 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 sources