Discover Agent Skills for developer tools. Browse 177 skills for Claude, ChatGPT & Codex.
Analyzes complex Rust development challenges using a three-layer parallel cognitive framework to provide domain-aware architectural solutions.
Visualizes Rust function call hierarchies and execution paths using LSP-powered analysis.
Optimizes Rust concurrency and asynchronous code by resolving Send/Sync errors and implementing thread-safe architectural patterns.
Optimizes Rust memory management by guiding the selection and implementation of smart pointers like Box, Rc, and Arc.
Manages the creation, usage, and cleanup of system resources in Rust using RAII and lazy initialization patterns.
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.
Resolves complex Rust memory management issues by analyzing ownership, borrowing, and lifetime constraints.
Automates safe Rust code refactoring using deep LSP analysis and comprehensive impact assessment.
Resolves complex Rust mutability conflicts and guides the implementation of safe interior mutability patterns.
Optimizes Rust application performance through systematic profiling, memory management, and efficient data structure selection.
Analyzes and maps Rust project structures by extracting symbols via LSP to provide deep architectural insights.
Enforces idiomatic Rust patterns, naming conventions, and modern best practices during code generation and review.
Routes Rust programming queries through a multi-layered cognitive framework to provide deep architectural and technical guidance.
Automates the creation of custom Claude Code skills for any Rust crate or standard library module directly from official documentation.
Navigates and explores complex Rust codebases using Language Server Protocol (LSP) for precise symbol lookups and cross-references.
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.
Compares files and directories between different Git worktrees or branches to identify code differences and changes.
Automates the discovery, configuration, and testing of intelligent Claude Code hooks to enforce project standards and security.
Orchestrates a multi-agent debate between independent AI judges to reach a high-accuracy consensus on solution quality.
Configures standardized code formatting rules and style guidelines within CLAUDE.md to ensure consistent AI-generated code.
Streamlines parallel development by automating Git worktree creation and environment setup with automatic dependency installation.
Automates complex task implementation using an orchestrator-agent pattern with integrated LLM-as-Judge quality verification.
Streamlines merging changes from multiple git worktrees using selective checkouts, interactive patching, and guided cherry-picking strategies.
Automates the installation and configuration of Codemap CLI to provide AI agents with intelligent codebase visualization and lifecycle hooks.
Configures your project context with strict TypeScript coding standards and production-grade architectural patterns.
Implements a ruthless self-correction framework to catch flaws, verify dependencies, and ensure production-grade code quality.
Configures the Serena MCP server to enable advanced semantic code retrieval and symbol-based navigation in AI coding agents.
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