review▌

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Code review requires technical evaluation, not emotional performance.

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Dispatch superpowers:code-reviewer subagent to catch issues before they cascade.

Review and fix issues identified by Seer (by Sentry) in GitHub PR comments.

Find high-impact defects in changed code with evidence. Prioritize security, correctness, and regressions over style nits.

Clause-by-clause contract analysis against your organization's negotiation playbook, with severity flagging and redline suggestions. \n \n Loads a configured playbook defining your standard positions, acceptable ranges, and escalation triggers for each major clause type; uses general commercial standards as baseline if no playbook exists \n Analyzes material clauses (limitation of liability, indemnification, IP ownership, data protection, term/termination, governing law) with holistic contract r

Automated code review with intelligent difficulty assessment and CHANGELOG synchronization. \n \n Automatically detects uncommitted changes or reviews the latest commit; stages untracked files and updates CHANGELOG before invoking the review \n Evaluates task complexity (file count, line changes, refactoring scope) and selects appropriate model and reasoning effort level \n Separates preparation (CHANGELOG, staging) from review execution in isolated context to reduce token waste \n Supports Go,

Review Django code for validated performance issues. Research the codebase to confirm issues before reporting. Report only what you can prove.

Resolve PR review comments with severity-based prioritization, fix application, and thread replies. \n \n Fetches inline comments and review bodies from GitHub, classifies by severity (CRITICAL > HIGH > MEDIUM > LOW), and displays a structured summary table before processing \n Parses CodeRabbit review sections (outside diff, duplicate, nitpick) and uses embedded \"Prompt for AI Agents\" context to understand issues and suggested fixes \n Applies fixes with user confirmation, commits functionall