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ai-workflows
ai-workflows contient 8 skills collectées depuis packit, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Backport upstream patches to packages in the RHEL ecosystem — cherry-pick or git-am workflow, build verification, changelog, and merge request creation.
Rebase packages to newer upstream versions in the RHEL ecosystem — version update, spec file modification, patch fixing, build verification, changelog, and merge request creation.
Triage Jira issues for RHEL packages — analyze bugs and CVEs to determine whether to rebase, backport a patch, rebuild, or request clarification, check CVE applicability against package source, consolidate rebuild siblings, and post the result as a Jira comment.
Runs the Errata Workflow for an erratum, advancing it through states (NEW_FILES -> QE -> REL_PREP), handling stage pushes, CAT test timeouts, product listing verification, and flagging for human attention.
Use when the user says they did a fresh prod deployment and wants to know if everything is okay. Checks pods, deployments, and events on the jotnar-ymir OpenShift cluster.
Runs the Issue Verification workflow for a JIRA issue, managing the lifecycle from merged MR through errata creation, testing analysis, and status transitions.
Analyze GreenWave gating and MR OSCI results for a RHEL JIRA issue to determine preliminary testing status, then update JIRA fields or flag attention accordingly.
Rebuild packages against updated dependencies in the RHEL ecosystem — release bump, changelog, and merge request creation with no source code changes. Supports consolidating multiple sibling Jira issues into a single rebuild MR.