code-review

# Code Review This skill enables an AI agent to conduct a structured, comprehensive code review on a source file, a set of changes, or a pull request. The agent examines the code across multiple quality dimensions — correctness, security, performance, readability, and maintainability — and produces a detailed review report with actionable feedback tied to specific lines of code. ## Workflow 1. **Parse the input and establish context.** Determine whether the input is a single file, a directory, or a pull request diff. If it is a pull request, fetch the diff and identify the base branch so that only the changed lines are reviewed. Read any related configuration files (linter configs, style guides, type definitions) to calibrate the review against the project's standards. 2. **Understand the intent of the change.** Read commit messages, PR descriptions, and surrounding code to understand what the author intended. This prevents false positives — a reviewer must know the goal before judging whether the code achieves it. Summarize the change in one sentence before proceeding. 3. **Check for correctness and bugs.** Walk through every changed function and trace the data flow. Look for null or undefined dereferences, off-by-one errors, incorrect boolean logic, unhandled error paths, race conditions in concurrent code, and resource leaks (open files, database connections, unreleased locks). Verify that edge cases — empty inputs, maximum values, unexpected types — are handled. 4. ...