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Found 65 Skills
Decision-making framework for software development, Y Combinator / Silicon Valley style. Based on real principles from Paul Graham, Sam Altman, Michael Seibel, Patrick Collison, and Brian Chesky. Use when: - Developing features or products - Making technical decisions (what to do, how, when) - Prioritizing work (P0, P1, P2) - Evaluating whether to refactor or patch - Deciding on technical debt - Evaluating whether to add tests, CI/CD, or automation - Any architecture or engineering decision Triggers: development, code, feature, refactor, architecture, prioritize, technical decision, what to do first, technical debt, tests, CI/CD, sprint, backlog
Refactor code for quality, reduce technical debt, and improve maintainability. Use for cleanup tasks and code improvements.
Refactor legacy codebases, migrate outdated frameworks, and implement gradual modernization. Handles technical debt, dependency updates, and backward compatibility. Use PROACTIVELY for legacy system updates, framework migrations, or technical debt reduction.
Senior Code Architect & Quality Assurance Engineer for 2026. Specialized in context-aware AI code reviews, automated PR auditing, and technical debt mitigation. Expert in neutralizing "AI-Smells," identifying performance bottlenecks, and enforcing architectural integrity through multi-job red-teaming and surgical remediation suggestions.
Modernize legacy codebases, migrate frameworks, and reduce technical debt. Use for legacy system updates or framework migrations.
Adaptive sprint workflow: deep analysis, evolving roadmap, one-at-a-time sprints, formal debt tracking, and re-entry prompts for context persistence. Trigger: When the user wants to analyze a project, create a roadmap, generate/execute sprints iteratively, or check project status and technical debt.
Provides refactoring recommendations and step-by-step improvement plans. Use when planning refactoring, improving code structure, or reducing technical debt.
Code refactoring expert for improving code quality, readability, maintainability, and performance. Specializes in Java and Python refactoring patterns, eliminating code smells, and applying clean code principles. Use when refactoring code, improving existing implementations, or cleaning up technical debt.
Expertise in Senior Principal Engineering refactoring. Use when you need to eliminate technical debt, remove "AI Slop," simplify complex logic, and ensure DRY code.
Performs comprehensive codebase analysis covering architecture, code quality, security, performance, testing, and maintainability. Use when user wants to audit code quality, identify technical debt, find security issues, assess test coverage, or get a codebase health check.
Translates engineering metrics (DORA, error rates, technical debt) into business KPIs and financial impact. Helps justify technical investments to stakeholders.
Registro, priorización y planificación de deuda técnica: taxonomía, puntuación, informe, integración con sprint.