发现优质的 AI Agent 技能

Use this skill to find workflow/job slices that repeatedly fail before eventually succeeding, so teams can target flaky reruns with the biggest minute waste.

Use this skill to measure how often workflows require reruns and whether reruns are actually recovering failures.

Use this skill to measure how quickly workflows recover after failing, and to detect groups that remain red for too long.

Use this skill to quantify where workflows are waiting in queue before jobs start.

Use this skill to detect over-broad `GITHUB_TOKEN` permissions and scope drift across GitHub Actions workflows.

Use this skill to catch risky cloud-auth patterns in workflow YAML before they become identity or secret exposure incidents.

Use this skill to catch unhealthy `merge_group` (or pull-request gate) workflows before queue times and failures block merges.

Use this skill to detect workflows that rely too heavily on manual triggers (`workflow_dispatch` / `repository_dispatch`) instead of automated CI events.

Use this skill to detect unstable workflows on protected branches (main/master/release) before they silently degrade delivery confidence.

Use this skill to catch workflows that recently degraded (new flaky tests, broken deploy gates, bad dependency updates, or infra outages) before they become long-running incidents.

Use this skill to detect accidental duplicate workflow execution bursts (for example trigger overlap, force-push storms, or retried dispatches) and measure wasted CI minutes.

Use this skill to rank deployment workflows that are currently risky to trust for production releases.