What problem does it solve? CI failures waste hours when developers treat environment problems as code problems or blindly re-run flaky tests. This Skill provides a systematic workflow to read the actual failure logs, classify the root cause, and apply the matching fix playbook. ## Core Features & Use Cases - Failure Classification: Sort failures into code, environment mismatch, flaky, infrastructure, or config categories using concrete signals from the logs. - Targeted Playbooks: Step-by-step fixes for version mismatches, missing services, secrets, filesystem issues, flaky tests, and dependency/registry problems. - Pipeline Hardening: Add timeouts, concurrency groups, caching, and pinned action versions to prevent recurrence. - Use Case: A test suite passes locally but fails in GitHub Actions. Use this Skill to diff local vs CI environments, identify a missing Postgres service, and add a services block with health checks to the workflow. ## Quick Start Ask the AI to debug why the GitHub Actions workflow is failing even though all tests pass locally, and have it classify the failure and propose a fix.
