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Delivers changes incrementally to manage large features effectively.

Behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity and clarity in coding practices.

Code simplification and refactoring focused on clarity, consistency, and maintainability. \n \n Applies project-specific best practices from CLAUDE.md, including ES modules, explicit type annotations, and proper React patterns \n Eliminates unnecessary complexity through reduced nesting, clearer naming, and removal of redundant abstractions \n Avoids nested ternaries and overly compact solutions in favor of explicit, readable code structures \n Preserves all original functionality and behavior w

Dispatch code review subagents with focused context to catch issues before they compound. \n \n Integrates with subagent-driven development workflows, triggering review after each task or before merging to main \n Provides code-reviewer subagent with precise git SHAs, implementation details, and requirements, keeping reviewer focused on work product rather than session history \n Categorizes feedback into Critical (fix immediately), Important (fix before proceeding), and Minor (note for later) s

Comprehensive, library-agnostic checklist for reviewing Flutter/Dart applications. These principles apply regardless of which state management solution, routing library, or DI framework is used.

You are a technical debt expert specializing in identifying, quantifying, and prioritizing technical debt in software projects. Analyze the codebase to uncover debt, assess its impact, and create actionable remediation plans.

Systematic Go code review against community style standards and best practices. \n \n Covers 15+ review categories: formatting, documentation, error handling, naming, concurrency, interfaces, data structures, security, declarations, functions, style, logging, imports, generics, and testing \n Includes automated pre-review checks via gofmt , go vet , and golangci-lint to catch mechanical issues before manual review \n Organizes findings by severity (must-fix, should-fix, nit) using a consistent t

Simple, pragmatic, opinionated. Only what matters for writing production-grade SQLAlchemy and Alembic code.

Code Components: Custom React components added to canvas. Support addPropertyControls.

Expert code review of git changes with focus on SOLID violations, security risks, and actionable improvements. \n \n Analyzes current git diff for SOLID principle violations, architecture smells, and removal candidates using structured checklists \n Scans for security risks including injection, authentication gaps, race conditions, and unsafe deserialization with exploitability assessment \n Flags code quality issues: error handling gaps, N+1 queries, boundary condition bugs, and performance hot