developer tools向けのClaudeスキルを発見してください。177個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Optimizes Rust concurrency and asynchronous code by resolving Send/Sync errors and implementing thread-safe architectural patterns.
Optimizes Rust project architecture by providing expert guidance on crate selection, dependency management, and cross-language integration.
Visualizes Rust function call hierarchies and execution paths using LSP-powered analysis.
Automates the creation of custom Claude Code skills for any Rust crate or standard library module directly from official documentation.
Automates safe Rust code refactoring using deep LSP analysis and comprehensive impact assessment.
Optimizes Rust memory management by guiding the selection and implementation of smart pointers like Box, Rc, and Arc.
Routes Rust programming queries through a multi-layered cognitive framework to provide deep architectural and technical guidance.
Streamlines the creation of robust, ergonomic Rust command-line interfaces using industry-standard libraries and implementation patterns.
Guides the development of memory-safe firmware and bare-metal applications using no_std Rust patterns.
Generates clear ASCII art visualizations of Rust project dependencies to help developers map crate hierarchies and feature flags.
Analyzes and maps Rust project structures by extracting symbols via LSP to provide deep architectural insights.
Master Rust's type system to implement efficient polymorphism through generics and dynamic dispatch.
Explores and visualizes Rust trait implementations and polymorphic relationships using LSP integration.
Manages the creation, usage, and cleanup of system resources in Rust using RAII and lazy initialization patterns.
Analyzes complex Rust development challenges using a three-layer parallel cognitive framework to provide domain-aware architectural solutions.
Resolves complex Rust memory management issues by analyzing ownership, borrowing, and lifetime constraints.
Navigates and explores complex Rust codebases using Language Server Protocol (LSP) for precise symbol lookups and cross-references.
Optimizes Rust application performance through systematic profiling, memory management, and efficient data structure selection.
Conducts deep, evidence-based technical analysis of competitor repositories by cloning and inspecting actual source code.
Searches previous command-line code agent session logs to find details of specific work.
Streamlines parallel development by automating Git worktree creation and environment setup with automatic dependency installation.
Configures your project context with strict TypeScript coding standards and production-grade architectural patterns.
Automates the creation of standardized, emoji-enhanced conventional commit messages while managing branch workflows and code quality.
Streamlines merging changes from multiple git worktrees using selective checkouts, interactive patching, and guided cherry-picking strategies.
Automates complex task implementation using an orchestrator-agent pattern with integrated LLM-as-Judge quality verification.
Automates the installation and configuration of Codemap CLI to provide AI agents with intelligent codebase visualization and lifecycle hooks.
Orchestrates a multi-agent debate between independent AI judges to reach a high-accuracy consensus on solution quality.
Applies Anthropic's official authoring guidelines to help developers build concise, well-structured, and discoverable Claude Code skills.
Automates the creation of standardized GitHub pull requests using the CLI with support for templates and conventional commit formatting.
Implements a ruthless self-correction framework to catch flaws, verify dependencies, and ensure production-grade code quality.
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