Code Review Agent Skills

Performs security-focused differential review of code changes (PRs, commits, diffs), adapting analysis depth to codebase size and generating comprehensive markdown reports.

Orchestrates a dimensional-analysis pipeline to annotate codebases with unit/dimension comments, discover dimensional vocabulary, and detect arithmetic bugs from unit mismatches or precision loss.

Review pull requests against repository standards using automated validation and manual content review.

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.

Automate Codacy code quality operations through Composio's Codacy toolkit via Rube MCP.

Launches four parallel read-only sub-agents to review a git diff or file scope for regressions, security risks, performance issues, and contract gaps, then aggregates findings into a prioritized fix path.

Review and fix Swift Concurrency issues in Swift 6.2+ codebases by applying actor isolation, Sendable safety, and modern concurrency patterns with minimal behavior changes.

Diagnose and fix SwiftUI performance issues like slow rendering, janky scrolling, and high CPU/memory usage through code review and profiling guidance.

Review git diffs or file scopes for code reuse, quality, efficiency, and clarity issues, then optionally apply safe, behavior-preserving fixes.

Handles git and GitHub operations using the gh CLI, triggered by any github.com URL. Covers creating and reviewing PRs, watching CI checks, interactive rebasing, branch cleanup, submodule management, and repository archaeology.

Write readable, maintainable code through disciplined naming, small functions, and clean error handling.

Apply meta-principles of software craftsmanship: DRY, orthogonality, tracer bullets, and design by contract to build systems that are easy to change, understand, and trust.

Automates PR review and CI auto-fix for GitHub and GitLab using the Composio CLI. Pulls diffs, fetches failing job logs, posts review comments, and loops fix commits until checks go green.

Finds the open GitHub PR for the current branch and helps address review comments using the gh CLI.

Extracts specifications from existing codebases by analyzing structure, data flows, and observable behaviors to document requirements in EARS format.

Analyzes code diffs and files to identify bugs, security vulnerabilities, code smells, and architectural concerns, producing a structured review report with prioritized, actionable feedback.

Produces ultra-compressed, one-line code review comments that cut noise while preserving actionable signal. Each comment includes location, problem, and fix.

Compares two code versions for semantic equivalence by tracing both side-by-side, identifying divergences, and producing a structured verdict.

Identifies, classifies, and prioritizes tech debt to build a refactoring roadmap, drawing on twelve classic engineering books.

Rewrites unprofessional code comments into clear ones and performs non-semantic cleanup without altering logic or behavior.

Monitor a pull request or review cycle until all checks pass, comments are resolved, and the PR is ready to merge.

Guide a visible, verified code walkthrough in Neovim with Terminal Control and Navi, optionally recording the presentation with OBS or retaining terminal evidence.

Turns a GitHub pull request into a code-change explainer video with changelog, feature reveal, or refactoring walkthrough built from the diff, commits, and files.

Provides a CTO-level framework for architecting, auditing, and scaling AI-native systems, focusing on state management, observability, and blast radius analysis.

Guides technical evaluation of code review feedback, emphasizing verification before implementation and reasoned pushback over performative agreement.

Runs five parallel review agents on code changes, validates findings, triages them, and applies approved fixes after confirmation.

Analyzes ESLint configurations using the ESLint Node.js API and flat config system to detect rule conflicts, unused rules, and generate project-specific rule recommendations from eslint-plugin-unicorn and typescript-eslint.

Creates a convention-compliant pull request from the current branch, inferring details from git history and code changes.

Scans a codebase for Martin Fowler's catalog of code smells, reporting each with location, severity, and refactoring recommendations, and ranks files to build a prioritized refactoring queue.

Mines git history and codebase to reconstruct the development lifecycle, identify sequential and parallel patterns, and produce actionable recommendations for future iterations.

Runs a deep cross-layer consistency audit across a codebase, tracing features from UI to database to find broken wiring, missing handlers, model mismatches, and security gaps, then auto-fixes critical and warning issues.

Analyzes game AI systems in a codebase, covering behavior trees, finite state machines, GOAP, utility AI, pathfinding, steering, perception, difficulty adaptation, NPC dialogue, and AI debugging tools for Unity, Unreal, and Godot projects.

Selects and reviews Queueable, Batch, Future, and Schedulable Apex for callouts, large data processing, retries, and background work, with decision guidance and validation checklists.

Prevents SOQL injection and enforces CRUD, FLS, and sharing in Apex queries, with guidance for building, reviewing, and troubleshooting secure data access.

Designs, reviews, and troubleshoots Apex triggers using a single-trigger-per-object handler pattern with recursion guards and activation bypass.

Write, review, or improve SwiftUI code following best practices for state management, view composition, performance, macOS-specific APIs, and iOS 26+ Liquid Glass adoption. Use when building new SwiftUI features, refactoring existing views, reviewing code quality, or adopting modern SwiftUI patterns.