What problem does it solve? Manual code review is slow and inconsistent, and single-pass AI review misses entire classes of defects. This Skill runs a structured multi-agent review that dispatches specialized reviewer personas in parallel, gates findings by confidence, and merges them into one deduplicated report before you open a PR. ## Core Features & Use Cases - Tiered Persona Reviewers: Spawns always-on reviewers (correctness, testing, maintainability, project standards) plus conditional reviewers for security, performance, API contracts, migrations, and stack-specific concerns like Rails, Python, TypeScript, and Swift. - Confidence-Gated Findings: Every finding carries a P0-P3 severity, an anchored confidence score (0/25/50/75/100), and an autofix routing class, so low-signal noise is suppressed before it reaches you. - Four Run Modes: Interactive, autofix (applies safe fixes automatically), report-only (strictly read-only), and headless (structured output for programmatic callers). - Use Case: Before creating a PR for a Rails auth feature, run the review to get security, reliability, and Rails-convention findings merged into a single table with a verdict, fix order, and residual work routed to tickets. ## Quick Start Ask the agent to review the current branch with ce-code-review before creating a pull request.