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Provides 179 curated Rust coding best practices and rules for AI coding agents to improve code quality, covering areas like ownership, error handling, memory management, API design, and performance.

Provides comprehensive Rust coding best practices and style guidelines, offering automated recommendations for maintaining clean, idiomatic, and performant Rust code across different project domains.

Guides developers in applying Rust's type system to drive design decisions, ensuring type-level constraints and architectural integrity during software development.

Provides advanced concurrency pattern analysis and generation for Rust projects, helping developers design thread-safe and performant concurrent systems using Rust's ownership and threading primiti...

Guides developers through resolving Rust ownership errors by analyzing data usage patterns and recommending appropriate ownership strategies like Arc<T> or shared references.

Manages Rust resource allocation and ownership strategies, providing intelligent recommendations for handling memory resources and ownership patterns in Rust projects.

Manages and analyzes Rust object lifecycle patterns, providing insights into ownership, borrowing, and memory management strategies for complex Rust data structures.

Based on the README's description of the Rust Skills project's meta-cognitive approach and domain-specific problem-solving, the "m09-domain" skill likely: Analyzes domain-specific architectural co...

Analyzes Rust code to identify and optimize zero-cost abstractions, ensuring performance-critical code maintains compile-time efficiency without runtime overhead.

Based on the README, the "rust-learner" skill within the Rust Skills project likely: Guides Rust developers through learning Rust programming by providing contextual, multi-layered cognitive assis...

Generates web application architecture recommendations and Rust web development best practices, focusing on domain-specific web service design patterns and framework integration.

Guides developers through advanced Rust error handling techniques, demonstrating idiomatic error management strategies, propagation patterns, and best practices for creating robust error handling i...

Analyzes and provides performance optimization recommendations for Rust code, focusing on identifying bottlenecks, suggesting efficient data structures, and recommending runtime improvements.

Based on the README, while there's no explicit description of the "rust-router" skill, I can infer it likely helps generate or manage routing logic for Rust web or network applications, providing d...

Based on the README, I'll infer that the "domain-cli" skill likely: Generates domain-specific CLI (command-line interface) scaffolding for Rust projects, automatically applying best practices and ...

Based on the README and context, I'll infer a practical description for the "m11-ecosystem" skill: Dynamically generates and manages Rust ecosystem-related skills and dependencies for specific dom...

Explores and demonstrates Rust's mutability rules, ownership principles, and best practices for handling mutable and immutable references in Rust code.

Checks Rust code for unsafe patterns, potential memory safety violations, and suggests safe alternatives or refactoring strategies for unsafe blocks and raw pointer usage.

Based on the README's description of the meta-cognition framework and the three-layer cognitive model, the "m14-mental-model" skill likely: Analyzes Rust code problems by tracing through multiple ...

Identifies and helps refactor common Rust anti-patterns related to memory management, ownership, and design patterns, providing targeted recommendations for improving code quality and performance.

Analyzes ownership and borrowing errors in Rust code by tracing domain-specific constraints and recommending architectural redesigns that respect immutability and shared ownership patterns.

Based on the README, the "rust-skill-creator" skill likely: Dynamically generates Claude Code skills for Rust development by automatically extracting and creating specialized AI assistance capabil...

Based on the README, I'll infer that the "rust-daily" skill likely: Generates daily Rust programming challenges, learning tasks, or code practice exercises to help developers consistently improve ...

Provides specialized AI assistance and architectural guidance for embedded systems development in Rust, focusing on domain-specific constraints, hardware interactions, and resource-constrained desi...

Based on the README's context of domain-specific AI assistance for Rust development, the "domain-ml" skill likely: Provides machine learning domain-specific architectural guidance and code generat...

Provides AI-powered architectural guidance and best practices for designing cloud-native Rust applications, focusing on distributed systems, containerization, microservices, and cloud infrastructur...

Provides specialized architectural guidance and code generation for Internet of Things (IoT) projects in Rust, focusing on embedded systems, sensor data handling, device communication protocols, an...

Provides AI-powered, meta-cognitive assistance for Rust development, offering domain-aware architectural solutions and coding recommendations by analyzing code through multi-layered cognitive proce...

Transforms AI Rust development assistance by applying a meta-cognitive framework that analyzes code errors and design challenges across domain, architectural, and mechanical layers to provide conte...