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Found 74 Skills
Review code architecture for maintainability, catch structural issues before they become debtUse when "Reviewing pull requests with structural changes, Planning refactoring work, Evaluating new feature architecture, Assessing technical debt, Before major releases, When code feels "hard to change", architecture, code-review, refactoring, design-patterns, technical-debt, dependencies, maintainability" mentioned.
Keeping codebases healthy, performant, and maintainable - refactoring, performance optimization, and technical debt managementUse when "refactor, optimize, performance, technical debt, cleanup, architecture, speed up, bundle size, memory leak, slow query, code smell, complexity, dead code, performance, refactoring, optimization, technical-debt, architecture, cleanup, bundle, memory" mentioned.
Transforms technical work into persuasive business-language documents for non-technical stakeholders, including internal announcements, approval proposals, incident explainers, technical-debt cases, product explainers, and investor or partner memos. Use when the user asks to present technical work to the company, explain software to business teams, write a business case, make an approval document, or convert a technical artifact into stakeholder communication in the requested language. Do not use for READMEs, specs, ADRs, external marketing pages, or customer-facing sales copy.
Detect AI-generated code patterns ("slop") in PHP/Laravel and TypeScript/React source — comment narration, generic naming, premature interfaces, defensive overdose, mock-everything tests, and the absence of human "scars". Use when reviewing AI-assisted PRs, auditing code for taste/quality (not metrics — that's technical-debt), or hardening a code-review checklist. Triggers on "review for AI slop", "find AI patterns", "check code feels human", "audit code-quality taste".
Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when deciding whether to maintain or sunset existing code.
Domain-Driven Development workflow specialist using ANALYZE-PRESERVE-IMPROVE cycle for behavior-preserving code transformation. Use when refactoring legacy code, improving code structure without functional changes, reducing technical debt, or performing API migration with behavior preservation. Do NOT use for writing new tests (use moai-workflow-testing instead) or creating new features from scratch (use expert-backend or expert-frontend instead).
Analyzes code complexity, technical debt, and industry trends to propose a 3-month strategic roadmap. Aligns engineering effort with business ROI.
Analyzes existing codebases to understand structure, patterns, and technical debt
Modernize and improve legacy codebases while maintaining functionality. Use when you need to refactor old code, reduce technical debt, modernize deprecated patterns, or improve code maintainability without breaking existing behavior.
Analyze code complexity, cyclomatic complexity, maintainability index, and code churn using metrics tools. Use when assessing code quality, identifying refactoring candidates, or monitoring technical debt.
Systematically analyze codebase structure, complexity, dependencies, and architectural patterns to understand project organization
Systematic framework for resurrecting and modernizing legacy codebases through archaeology, resurrection, and rejuvenation phases. Activate on "legacy code", "inherited codebase", "no documentation", "technical debt", "resurrect", "modernize". NOT for greenfield projects or well-documented active codebases.