How does the meta-cognition framework work?

It traces problems through three layers: Domain Constraints (Why), Design Choices (What), and Language Mechanics (How) to ensure the solution fits the broader context, not just the immediate error.

Can it help with specific Rust compiler errors?

Yes, it automatically recognizes and routes specific error codes like E0382 (move errors) or E0597 (lifetime errors) to specialized sub-skills for precise resolution.

Does it support the latest Rust features?

Absolutely. It is configured to default to the Rust 2024 edition and version 1.85+, ensuring your code uses the most modern and stable syntax.

How does it handle unsafe code?

It features a dedicated unsafe-checker routing that triggers for FFI, raw pointers, and memory safety audits, ensuring rigorous verification of unsafe blocks.

What specialized domains are supported?

The skill includes specialized knowledge for Fintech (trading/payment), Web (Axum/Actix), Cloud-Native (gRPC/K8s), CLI (Clap), and Embedded (no_std) development.

Rust Question Router & Meta-Cognition Skill

Name: Rust Question Router & Meta-Cognition Skill
Author: lywa1998

bylywa1998

Herramientas para Desarrolladores

Routes Rust-related inquiries through a three-layer meta-cognition framework to provide deep architectural and language-specific solutions.

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The rust-router skill transforms how Claude handles Rust development by implementing a sophisticated three-layer cognitive model: Domain Constraints (Why), Design Choices (What), and Language Mechanics (How). Instead of providing surface-level fixes for compiler errors, it traces issues up to their architectural roots or down to implementation details, ensuring code aligns with the latest Rust 2024 standards and domain-specific best practices. It acts as a central hub that coordinates specialized sub-skills for ownership, concurrency, and industry-specific domains like Fintech or Embedded systems.

Características Principales

Enforcement of Rust 2024 edition and strict Clippy linting standards
Three-layer meta-cognition routing (L1 Mechanics, L2 Design, L3 Domain)
Domain-specific guidance for Fintech, Cloud-Native, Web, and Embedded Rust
0 GitHub stars
Integrated security and unsafe code auditing via OS-checker tools
Automatic mapping of Rust error codes (E0382, E0597, etc.) to specific fix patterns

Casos de Uso

Modernizing legacy Rust codebases to the 2024 edition with optimized linting and safety
Debugging complex borrow checker and lifetime errors with root-cause architectural analysis
Designing idiomatic domain models for high-stakes environments like trading or microservices

Acerca de

Características Principales

Enforcement of Rust 2024 edition and strict Clippy linting standards
Three-layer meta-cognition routing (L1 Mechanics, L2 Design, L3 Domain)
Domain-specific guidance for Fintech, Cloud-Native, Web, and Embedded Rust
0 GitHub stars
Integrated security and unsafe code auditing via OS-checker tools
Automatic mapping of Rust error codes (E0382, E0597, etc.) to specific fix patterns

Casos de Uso

Modernizing legacy Rust codebases to the 2024 edition with optimized linting and safety
Debugging complex borrow checker and lifetime errors with root-cause architectural analysis
Designing idiomatic domain models for high-stakes environments like trading or microservices