🎯Skills38
Provides comprehensive Rust coding guidelines covering naming conventions, best practices, error handling, memory management, concurrency, and code style recommendations.
A m07 concurrency skill from Rust development skills for building performant and safe systems.
A Rust performance optimization skill covering benchmarking, profiling, flamegraph analysis, criterion testing, SIMD, cache optimization, and allocation tuning for making Rust code faster.
A m06 error handling skill from Rust development skills for building performant and safe systems.
Guides developers in selecting the right smart pointer and resource management strategy based on ownership, thread safety, and design constraints.
Diagnoses and resolves Rust ownership, borrowing, and lifetime errors by tracing design choices and recommending targeted implementation strategies.
Enforces compile-time type safety by preventing invalid states through type-level design techniques like newtypes, type states, and phantom types.
Diagnoses and guides resolution of Rust mutability and borrowing conflicts by analyzing design patterns and recommending appropriate interior mutability strategies.
Guides developers in choosing zero-cost abstractions by analyzing type system errors and runtime polymorphism needs in Rust.
Guides domain modeling in Rust by helping identify entities, value objects, aggregates, and their ownership patterns with domain-driven design principles.
An anti-pattern detection skill from Rust Skills, an AI-powered Rust development assistant with a meta-cognition framework that transforms how AI assists with Rust development.
Guides resource lifecycle design by analyzing creation, usage, cleanup strategies, and ownership patterns for efficient and safe resource management in Rust.
Rust mental model skill for learning Rust concepts like ownership, borrow checker, and memory layout through analogies and intuitive explanations.
Designs comprehensive domain error handling strategies with categorization, recovery mechanisms, and contextual error management for different audiences.
A unsafe checker skill from Rust development skills for building performant and safe systems.
Guides Rust developers in selecting, integrating, and managing ecosystem dependencies with best practices and strategic decision-making.
Navigates Rust code by finding symbol definitions, references, and locations using Language Server Protocol (LSP) across project files.
Performs safe Rust refactoring by analyzing symbol references, dependencies, and potential impacts using Language Server Protocol (LSP) operations.
Generates and visualizes Rust function call graphs using LSP, revealing function relationships and call hierarchies.
Analyzes Rust project structure by extracting and categorizing symbols across files using Language Server Protocol (LSP) operations.
A skill for exploring Rust trait implementations using LSP, allowing you to find implementations of specific traits or structs with commands like /trait-impl.
Rust CLI development skill for building command-line applications with argument parsing and error handling.
Performs parallel three-layer meta-cognitive analysis by forking subagents to simultaneously analyze language mechanics, design choices, and domain constraints for complex problem-solving.
Retrieves and provides comprehensive Rust and crate information, including versions, features, documentation, and changelogs from authoritative sources.
Builds robust, performant web services in Rust with async handling, type-safe routing, middleware composition, and secure state management.
Rust news and daily/weekly/monthly report skill for tracking Rust ecosystem updates, blog posts, and community developments.
Rust skill creator for generating agent skills from Rust crate documentation and std library references.
Generates ASCII art visualizations of Rust project dependencies, showing tree structure, optional depth, and feature flags.
A skill providing expertise for building cloud-native applications in Rust, covering Kubernetes, Docker, gRPC with Tonic, microservices, service mesh, observability, and tracing.
A skill for building machine learning and AI applications in Rust, covering tensors, model inference, neural networks, deep learning, and training with libraries like tch-rs, burn, and candle.
Embedded/no_std Rust development skill covering microcontroller, bare metal, firmware, HAL, PAC, RTIC, embassy, and peripheral programming.
A Rust fintech domain skill for building financial technology applications, covering trading systems, decimal/currency handling, transactions, ledger operations, payments, exchange rates, and accounting precision.
An IoT domain skill for building IoT applications in Rust, covering offline-first architecture, power-efficient code, small-footprint builds with no_std, encrypted communications, and self-recovery with watchdog patterns.
Routes Rust questions through multi-layered cognitive analysis, tracing technical challenges from language mechanics to domain-specific constraints.
Part of the Rust Skills plugin that auto-generates crate-specific skills from your Cargo.toml dependencies, providing on-demand version-tracked documentation and API guidance for each dependency in your Rust project.
A core utility skill within the Rust Skills plugin that assists with fixing and maintaining skill documentation, ensuring SKILL.md files and related references stay accurate and up-to-date across the meta-cognition framework.
A Claude Code plugin that enhances AI-assisted Rust development through a three-layer meta-cognition framework (Domain, Design, Mechanics). Instead of surface-level fixes, it traces through cognitive layers to provide domain-correct architectural solutions, with 31 skills covering ownership, concurrency, error handling, and domain-specific extensions for FinTech, ML, IoT, and more.
An internal support skill for agent-browser CLI browser automation workflows, providing commands for navigation, interactive element snapshots with refs, form filling, clicking, screenshots, and waiting — used as a last resort when actionbook MCP has no pre-computed selectors for target sites.