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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.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
1,427
Hot score
99
Updated
March 20, 2026
Overall rating
C4.5
Composite score
4.5
Best-practice grade
A92.0

Install command

npx @skill-hub/cli install actionbook-actionbook-rust-learner

Repository

actionbook/actionbook

Skill path: 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.

Open repository

Best for

Primary workflow: Ship Full Stack.

Technical facets: Full Stack.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: actionbook.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install rust-learner into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/actionbook/actionbook before adding rust-learner to shared team environments
  • Use rust-learner for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw 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
```