What problem does it solve? When a pull request's CI pipeline fails, engineers waste time manually digging through job logs to figure out whether the failure is caused by their own changes, a flaky test, or broken infrastructure. This Skill automates that triage by querying Datadog CI Visibility data and attributing each failure to a root cause category with a recommended action. ## Core Features & Use Cases - Failure Classification: Attributes each failing CI job as flaky, infra, regression, or unknown using blame-guard checks against the default branch and blast-radius analysis across branches. - Targeted Remediation: Proposes concrete next steps per classification, including GitHub Actions reruns for transient infra failures and handoff to flaky-test deep investigation. - PR Health Reporting: Fetches code coverage for the branch and produces a structured triage brief summarizing all failures with evidence and confidence levels. - Use Case: A developer pushes a branch and sees three red CI jobs. Instead of reading raw logs, they run this Skill to learn one failure is a known flaky test, one is a pre-existing infra issue on main, and one is a genuine regression introduced by their changes. ## Quick Start Investigate why the CI pipeline is failing on my current PR branch and tell me which failures are flaky, infra, or regressions.