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actionbook

rust-learner

by actionbook

The Action Playbook for Agents. Make agents act 10× faster with 100× token savings.

41🍴 1📅 2026年1月24日
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SKILL.md


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 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

スコア

総合スコア

60/100

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