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Use this skill whenever the user asks to review, analyze, or improve backend code (e.g., .py) under the api/ directory. Supports the following review modes:

Expert code explanation through narratives, diagrams, and step-by-step breakdowns for all skill levels. \n \n Transforms complex algorithms, system architectures, and design patterns into clear, progressive explanations with visual aids \n Ideal for onboarding walkthroughs, learning materials, and debugging reasoning across codebases \n Delivers high-level flow summaries followed by detailed component breakdowns, pseudocode, and annotated snippets \n Highlights pitfalls, edge cases, and key term

Automated code review across security, performance, quality, and testing dimensions. \n \n Analyzes pull requests for four distinct review categories: security vulnerabilities (SQL injection, XSS, hardcoded secrets), performance issues (N+1 queries, memory leaks, missing caches), code quality (duplication, SRP violations, poor naming), and test coverage gaps \n Flags issues at three severity levels (critical, suggestions, nits) with explanations and suggested fixes for each finding \n Includes a

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

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.

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

Production-grade code standards emphasizing correctness, crash-safety, and Rust idioms over convenience. \n \n Prioritizes data integrity: crash on invalid state rather than corrupt data; assert invariants aggressively; handle all errors explicitly \n Rust-specific patterns: make illegal states unrepresentable, use exhaustive pattern matching and enums over strings, minimize allocations \n Comments document why , not what ; avoid temporal markers, AI conversation references, and code-repeating e

Systematic code maturity evaluation across 9 security and engineering categories with evidence-based ratings. \n \n Assesses arithmetic safety, auditing, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing using Trail of Bits' framework \n Produces a maturity scorecard with 0–4 ratings per category, detailed findings with file references, and a priority-ordered improvement roadmap \n Combines automated code analysis with interactive clarification