rust-learner（Rust learner 搜索）

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:

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

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:

Output Format:

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

**Signature:**

{signature}

**Description:** {description}

**Examples:**

{example_code}

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

1. Construct URL: "[https://docs.rs/{crate}/latest/{crate}/{path}](https://docs.rs/%7Bcrate%7D/latest/%7Bcrate%7D/%7Bpath%7D)"
2. agent-browser CLI (or WebFetch fallback):
  - open
  - get text ".docblock"
  - close
3. Parse and format output

Output Format:

## {crate}::{path}

**Signature:**

{signature}

**Description:** {description}

**Examples:**

{example_code}

Clippy Lints

1. agent-browser CLI (or WebFetch fallback):
  - open "[https://rust-lang.github.io/rust-clippy/stable/](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:

## Clippy Lint: {lint_name}

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

**Description:**
{what_it_checks}

**Example (Bad):**

{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

1. agent-browser CLI - Primary execution tool

   agent-browser open <url>
   agent-browser get text <selector_from_actionbook>
   agent-browser close

1. 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

Error Handling

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.