1. Software Development

Enforces Python testing best practices using pytest, TDD, and mocking for reliable test code. Triggers on test-related keywords and test directory edits.

Analyzes Go REST API projects using Echo, Gin, Chi, Fiber, or net/http to understand routing, middleware, and authentication patterns.

Provides best practices for building Python web UIs with NiceGUI, including layout, components, and styling with Quasar and Tailwind.

Guides implementation of Service Abstractions library in Kotlin for managing database, cache, and file system configurations within application infrastructure.

Specializes in compiling backend code for server-side applications, ensuring efficient execution and error-free deployment.

Offers real-time autocomplete suggestions for Kotlin types, methods, and extensions using metadata from the kotlin-autocomplete-gradle-plugin.

Enables seamless integration and development between KiteUI (frontend framework) and Lightning Server (backend platform) for full-stack applications.

Transforms feature ideas into structured specifications (research, requirements, design, tasks) and autonomously executes them with fresh context per task, supporting parallel execution via [P] markers.

A factory pattern for creating Zustand slices, simplifying form input state management and ensuring consistent slice architecture.

Configures Python development environments, handling setup, project initialization, and uv package manager integration.

Analyzes Go GraphQL projects built with gqlgen, covering schema design, resolvers, directives, dataloaders, and N+1 query patterns for API optimization.

Assists in code review processes by analyzing PRs, diffs, and code for quality, refactoring opportunities, and issues.

Inspects staged changes to generate Git commit messages with component tags, concise summaries, and detailed descriptions following project conventions.

Provides expert Rust performance optimization guidelines for build profiles, allocation, synchronization, async, and I/O to improve code efficiency and reduce overhead.

Guides step-by-step implementation of plugin tasks from a plan with progress tracking for efficient development.

Automates code quality review with analysis of code smells, complexity metrics, and integrated scoring after code edits.

Packages Claude Code skills, agents, commands, and hooks into distributable plugins with correct structure and configuration.

Provides coding standards for Godot 4.x, emphasizing component patterns, signal communication, and system architecture design.

Assists in adding, verifying, and fixing type hints and type checker errors in Python code using tools like mypy and Pyright.

Guides developers in creating and managing Claude Code skills using Anthropic best practices, covering structure, triggers, and debugging.

Provides frontend model structure patterns for creating models (e.g., user, product) and list/detail pages within front/src/model/.

Analyzes codebase impact for changes and refactoring using codebase graph to determine direct/indirect effects, risk scores, and test scope recommendations.

Applies Python-specific code review best practices to PRs, diffs, and code changes for improved quality and maintainability.

Identifies and resolves root causes of software errors, preventing unnecessary workarounds and complexity in code.