From gitlab-workflow
Review a GitLab merge request: fetch MR (default repo = project name), analyze the diff, and optionally post review comments. Use when asked to review an MR, do a code review on GitLab, or when the user wants MR feedback. Triggers on: review MR, review merge request, review this MR, code review GitLab, glab mr review.
How this skill is triggered — by the user, by Claude, or both
Slash command
/gitlab-workflow:skills/gitlab-mr-reviewThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Perform a code review on a GitLab merge request. Prefer **glab MCP** for fetching MR data; use **glab CLI** when MCP is unavailable.
Perform a code review on a GitLab merge request. Prefer glab MCP for fetching MR data; use glab CLI when MCP is unavailable.
namespace/project when possible.If any of these are true:
then ask the user for:
namespace/project or full path), or the repo URL.42) or branch name, if not the current branch.Do not guess the repo; ask once you know the default does not apply or cannot be determined.
glab mr view [MR_IID] and glab mr diff [MR_IID] (omit MR_IID when one MR is in context for current branch).glab mr note [MR_IID] --message "..." with the review body (escape or quote appropriately).glab mr view - view MR for current branch (or glab mr view <IID>)glab mr diff - diff for current branch MR (or glab mr diff <IID>)glab mr view -R namespace/project <IID> and glab mr diff -R namespace/project <IID>Keep the review actionable: clear, specific, and tied to the diff.
glab mr notenpx claudepluginhub bowentan/super-agent --plugin gitlab-workflowReviews GitLab merge requests including metadata, commits, diffs, pipeline status, code suggestions, and approval recommendations. Invoke via /review-mr.
Automates GitLab MR workflow: waits for AI code review via script, auto-merges clean MRs after pipeline, or plans TDD fix for top issue from notes.
Guides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.