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 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
- Installs
- 3.1K
- Last 24h
- +14
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- #7184
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/actionbook/rust-skills --skill rust-learner- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads rust-learner automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
- Read the appropriate agent file (relative to this skill)
- Launch Task with
run_in_background: true - Continue with other work or wait for completion
- 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.)
- Construct URL: "https://docs.rs/{crate}/latest/{crate}/{path}"
- agent-browser CLI (or WebFetch fallback):
- open <url>
- get text ".docblock"
- close
- Parse and format output
**Output Format:**
```markdown
## {crate}::{path}
**Signature:**
```rust
{signature}
Description: {description}
Examples:
{example_code}
### Clippy Lints
- 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
- 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}
Example (Good):
{good_code}
---
## Tool Chain Priority
Both modes use the same tool chain order:
1. **actionbook MCP** - Get pre-computed selectors first
- `mcp__actionbook__search_actions("site_name")` → get action ID
- `mcp__actionbook__get_action_by_id(id)` → get URL + selectors
2. **agent-browser CLI** - Primary execution tool
```bash
agent-browser open <url>
agent-browser get text <selector_from_actionbook>
agent-browser close
- WebFetch - Last resort only if agent-browser unavailable
Fallback Principle (CRITICAL)
actionbook → agent-browser → WebFetch (only if agent-browser unavailable)
DO NOT:
- Skip agent-browser because it's slower
- Use WebFetch as primary when agent-browser is available
- Block on WebFetch without trying agent-browser first
Deprecated Patterns
| Deprecated | Use Instead | Reason |
|---|---|---|
| WebSearch for crate info | Task + agent or inline mode | Structured data |
| Direct WebFetch | actionbook + agent-browser | Pre-computed selectors |
| Guessing version numbers | Always fetch from source | Prevents misinformation |
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Agent file not found | Skills-only install | Use inline mode |
| actionbook unavailable | MCP not configured | Fall back to WebFetch |
| agent-browser not found | CLI not installed | Fall back to WebFetch |
| Agent timeout | Site slow/down | Retry or inform user |
| Empty results | Selector mismatch | Report and use WebFetch fallback |
Proactive Triggering
This skill triggers AUTOMATICALLY when:
- Any Rust crate name mentioned (tokio, serde, axum, sqlx, etc.)
- Questions about "latest", "new", "version", "changelog"
- API documentation requests
- Dependency/feature questions
DO NOT use WebSearch for Rust crate info. Use agents or inline mode instead.
FAQ
What does the rust-learner skill do?
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
How do I install rust-learner?
Run npx skills add https://github.com/actionbook/rust-skills --skill rust-learner in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/rust-learner/ (personal) or .claude/skills/rust-learner/ (project).
Which AI agents can use rust-learner?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is rust-learner safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains rust-learner?
It is published by actionbook in actionbook/rust-skills. It has 3,091 recorded installs.
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