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/rust-learner

Use when asking about Rust versions or crate info. Keywords: latest version, what's new, changelog, Rust 1.x, Rust release, stable, nightly, crate info, crates.io, lib.rs, docs.rs, API documentation, crate features, dependencies, which crate, what version, Rust edition, edition

From plugin
rust-skills
1.6k38 skills11 agents21 commands1 hook
+1

Claude Code

$ npx -y skills add actionbook/rust-skills --skill rust-learner --agent claude-code

SKILL.md

rust-learner.SKILL.md
name: rust-learner
description: "Use when asking about Rust versions or crate info. Keywords: latest version, what's new, changelog, Rust 1.x, Rust release, stable, nightly, crate info, crates.io, lib.rs, docs.rs, API documentation, crate features, dependencies, which crate, what version, Rust edition, edition 2021, edition 2024, cargo add, cargo update, 最新版本, 版本号, 稳定版, 最新, 哪个版本, crate 信息, 文档, 依赖, Rust 版本, 新特性, 有什么特性"
allowed-tools: ["Task", "Read", "Glob", "mcp__actionbook__*", "Bash"]

Rust Learner

> **Version:** 2.1.0 | **Last Updated:** 2025-01-27

You are an expert at fetching Rust and crate information. Help users by:

  • **Version queries**: Get latest Rust/crate versions
  • **API documentation**: Fetch docs from docs.rs
  • **Changelog**: Get Rust version features from releases.rs

**Primary skill for fetching Rust/crate information.**

Execution Mode Detection

**CRITICAL: Check agent file availability first to determine execution mode.**

Try to read the agent file for your query type. The execution mode depends on whether the file exists:

| Query Type | Agent File Path | |------------|-----------------| | Crate info/version | `../../agents/crate-researcher.md` | | Rust version features | `../../agents/rust-changelog.md` | | Std library docs | `../../agents/std-docs-researcher.md` | | Third-party crate docs | `../../agents/docs-researcher.md` | | Clippy lints | `../../agents/clippy-researcher.md` |

---

Agent Mode (Plugin Install)

**When agent files exist at `../../agents/`:**

Workflow

1. Read the appropriate agent file (relative to this skill) 2. Launch Task with `run_in_background: true` 3. Continue with other work or wait for completion 4. Summarize results to user

Task(
  subagent_type: "general-purpose",
  run_in_background: true,
  prompt: <read from ../../agents/*.md file>
)

Agent Routing Table

| Query Type | Agent File | Source | |------------|------------|--------| | Rust version features | `../../agents/rust-changelog.md` | releases.rs | | Crate info/version | `../../agents/crate-researcher.md` | lib.rs, crates.io | | **Std library docs** (Send, Sync, Arc, etc.) | `../../agents/std-docs-researcher.md` | doc.rust-lang.org | | Third-party crate docs (tokio, serde, etc.) | `../../agents/docs-researcher.md` | docs.rs | | Clippy lints | `../../agents/clippy-researcher.md` | rust-clippy docs |

Agent Mode Examples

**Crate Version Query:**

User: "tokio latest version"

Claude:
1. Read ../../agents/crate-researcher.md
2. Task(subagent_type: "general-purpose", run_in_background: true, prompt: <agent content>)
3. Wait for agent
4. Summarize results

**Rust Changelog Query:**

User: "What's new in Rust 1.85?"

Claude:
1. Read ../../agents/rust-changelog.md
2. Task(subagent_type: "general-purpose", run_in_background: true, prompt: <agent content>)
3. Wait for agent
4. Summarize features

---

Inline Mode (Skills-only Install)

**When agent files are NOT available, execute directly using these steps:**

Crate Info Query

1. actionbook: mcp__actionbook__search_actions("lib.rs crate info")
2. Get action details: mcp__actionbook__get_action_by_id(<action_id>)
3. agent-browser CLI (or WebFetch fallback):
   - open "https://lib.rs/crates/{crate_name}"
   - get text using selector from actionbook
   - close
4. Parse and format output

**Output Format:**

## {Crate Name}

**Version:** {latest}
**Description:** {description}

**Features:**
- `feature1`: description

**Links:**
- [docs.rs](https://docs.rs/{crate}) | [crates.io](https://crates.io/crates/{crate}) | [repo]({repo_url})

Rust Version Query

1. actionbook: mcp__actionbook__search_actions("releases.rs rust changelog")
2. Get action details for selectors
3. agent-browser CLI (or WebFetch fallback):
   - open "https://releases.rs/docs/1.{version}.0/"
   - get text using selector from actionbook
   - close
4. Parse and format output

**Output Format:**

## Rust 1.{version}

**Release Date:** {date}

### Language Features
- Feature 1: description
- Feature 2: description

### Library Changes
- std::module: new API

### Stabilized APIs
- `api_name`: description

Std Library Docs (std::*, Send, Sync, Arc, etc.)

1. Construct URL: "https://doc.rust-lang.org/std/{path}/"
   - Traits: std/{module}/trait.{Name}.html
   - Structs: std/{module}/struct.{Name}.html
   - Modules: std/{module}/index.html
2. agent-browser CLI (or WebFetch fallback):
   - open <url>
   - get text "main .docblock"
   - close
3. Parse and format output

**Common Std Library Paths:** | Item | Path | |------|------| | Send, Sync, Copy, Clone | `std/marker/trait.{Name}.html` | | Arc, Mutex, RwLock | `std/sync/struct.{Name}.html` | | Rc, Weak | `std/rc/struct.{Name}.html` | | RefCell, Cell | `std/cell/struct.{Name}.html` | | Box | `std/boxed/struct.Box.html` | | Vec | `std/vec/struct.Vec.html` | | String | `std/string/struct.String.html` |

**Output Format:**

## std::{path}::{Name}

**Signature:**
```rust
{signature}

**Description:** {description}

**Examples:**

{example_code}

### Third-Party Crate Docs (tokio, serde, etc.)

1. Construct URL: "https://docs.rs/{crate}/latest/{crate}/{path}" 2. agent-browser CLI (or WebFetch fallback):

  • open <url>
  • get text ".docblock"
  • close

3. Parse and format output


**Output Format:**
```markdown
## {crate}::{path}

**Signature:**
```rust
{signature}

**Description:** {description}

**Examples:**

{example_code}

### Clippy Lints

1. agent-browser CLI (or WebFetch fallback):

  • open "https://rust-lang.github.io/rust-clippy/stable/"
  • search for lint name in page
  • get text ".lint-doc" for matching lint
  • close

2. Parse and format output


**Output Format:**
```markdown
## Clippy Lint: {lint_name}

**Level:** {warn|deny|allow}
**Category:** {category}

**Description:**
{what_it_checks}

**Example (Bad):**
```rust
{bad_code}
Read more
@actionbook
Ships withrust-skills

AI-powered Rust development assistant with meta-cognition framework

1.6k38 skills11 agents1 MCP
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Questions about rust-learner.

Which coding agents can use rust-learner?
rust-learner installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.