What problem does it solve? When a UI Verify build reports visual changes on a pull request, reviewing dozens of changed stories in the dashboard is slow and error-prone. This Skill lets a coding agent bucket changed stories into real regressions, intended changes, cosmetic reflow, and rendering noise directly from the terminal via the UI Verify MCP server. ## Core Features & Use Cases - Build triage over MCP: Page through a build's changed stories with get_build and list_build_stories, read the AI judge's verdicts, and render baseline/candidate/diff images inline to adjudicate ambiguous changes. - PR-ready summaries: Produce a one-line-per-regression comment with before/after images and presigned diff URLs so reviewers never leave the pull request. - Bulk baseline acceptance: Accept every changed story in one accept_build call, or loop review_diff per story for targeted accept/ignore/deny decisions. - Use Case: A PR flags 67 changed stories. The agent pages through them, compares before/after pixels for the flagged ones, reports 2 real regressions and 11 intended changes, and posts the summary with cropped before/after images to the PR. ## Quick Start Connect the UI Verify MCP server with your project API key, then ask the agent to triage the latest UI Verify build for this pull request and summarize the regressions.