Drive an implement→review→fix loop with pair-review as the review oracle: run multi-model council reviews, triage the findings, apply fixes, and repeat with narrowing instructions until a final review returns no blockers. Use when the user says "pair loop",…
Perform AI-powered code review analysis by spawning parallel Task agents directly within the coding agent's context. Does not require the pair-review MCP server — works standalone. Runs Level 1 (diff isolation), Level 2 (file context), and Level 3 (codebase…
Dispatch a review task to 3 randomly-selected reasoning models in parallel for diverse perspectives, then merge all suggestions into a single result.
Guidance for selecting models when performing code review with subtasks. Load this skill to enable intelligent model selection for review analysis — choosing faster models for simple tasks and deeper reasoning models for complex analysis.
Open outstanding GitHub review requests in pair-review for AI-powered code review. Finds open PRs where my review is pending from the past week and starts pair-review analysis for each. Use when the user says "review requests", "review my PRs", "check review…
Fetch AI-generated review suggestions from pair-review and make code changes to address them. Use when the user says "address AI feedback", "address AI suggestions", "fix AI review feedback", or wants to iterate on code based on AI analysis results from…
Perform AI-powered code review analysis using pair-review's server-side analysis engine via MCP. Requires the pair-review MCP server to be connected. For standalone analysis without MCP, use the `code-critic:analyze` skill instead. Starts analysis via the…
Open local uncommitted changes for review in the pair-review web UI. This only opens the browser — it does not run AI analysis or generate suggestions. Once open, the user can browse the diff, leave comments, and trigger analysis from the web UI themselves.…