Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Comprehensive GitLab CLI (glab) command reference and workflows for all GitLab operations via terminal. Use when user mentions GitLab CLI, glab commands, Git...
Comprehensive GitLab CLI (glab) command reference and workflows for all GitLab operations via terminal. Use when user mentions GitLab CLI, glab commands, Git...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Comprehensive GitLab CLI (glab) command reference and workflows.
# First time setup glab auth login # Common operations glab mr create --fill # Create MR from current branch glab issue create # Create issue glab ci view # View pipeline status glab repo view --web # Open repo in browser
This skill routes to specialized sub-skills by GitLab domain: Core Workflows: glab-mr - Merge requests: create, review, approve, merge glab-issue - Issues: create, list, update, close, comment glab-ci - CI/CD: pipelines, jobs, logs, artifacts glab-repo - Repositories: clone, create, fork, manage Project Management: glab-milestone - Release planning and milestone tracking glab-iteration - Sprint/iteration management glab-label - Label management and organization glab-release - Software releases and versioning Authentication & Config: glab-auth - Login, logout, Docker registry auth glab-config - CLI configuration and defaults glab-ssh-key - SSH key management glab-gpg-key - GPG keys for commit signing glab-token - Personal and project access tokens CI/CD Management: glab-job - Individual job operations glab-schedule - Scheduled pipelines and cron jobs glab-variable - CI/CD variables and secrets glab-securefile - Secure files for pipelines glab-runner - Runner management: list, pause, delete (added v1.87.0) glab-runner-controller - Runner controller and token management (EXPERIMENTAL, admin-only) Collaboration: glab-user - User profiles and information glab-snippet - Code snippets (GitLab gists) glab-incident - Incident management glab-workitems - Work items: tasks, OKRs, key results, next-gen epics (added v1.87.0) Advanced: glab-api - Direct REST API calls glab-cluster - Kubernetes cluster integration glab-deploy-key - Deploy keys for automation glab-quick-actions - GitLab slash command quick actions for batching state changes glab-stack - Stacked/dependent merge requests glab-opentofu - Terraform/OpenTofu state management Utilities: glab-alias - Custom command aliases glab-completion - Shell autocompletion glab-help - Command help and documentation glab-version - Version information glab-check-update - Update checker glab-changelog - Changelog generation glab-attestation - Software supply chain security glab-duo - GitLab Duo AI assistant glab-mcp - Model Context Protocol server for AI assistant integration (EXPERIMENTAL)
v1.89.0+: 18 commands across 12 sub-skills now support --output json / -F json for structured output โ raw GitLab API responses ideal for agent/automation parsing. Affected sub-skills: glab-release, glab-ci, glab-milestone, glab-schedule, glab-mr, glab-repo, glab-label, glab-deploy-key, glab-ssh-key, glab-gpg-key, glab-cluster, glab-opentofu. Other v1.89.0 changes: glab-auth: glab auth login now prompts for SSH hostname separately from API hostname on self-hosted instances glab-stack: glab stack sync --update-base flag added to rebase stack onto updated base branch glab-release: --notes / --notes-file are now optional for glab release create and glab release update
Use glab when: Automating GitLab operations in scripts Working in terminal-centric workflows Batch operations (multiple MRs/issues) Integration with other CLI tools CI/CD pipeline workflows Faster navigation without browser context switching Use web UI when: Complex diff review with inline comments Visual merge conflict resolution Configuring repo settings and permissions Advanced search/filtering across projects Reviewing security scanning results Managing group/instance-level settings
# Start work on issue glab issue view 123 git checkout -b 123-feature-name # Create MR when ready glab mr create --fill --draft # Mark ready for review glab mr update --ready # Merge after approval glab mr merge --when-pipeline-succeeds --remove-source-branch
# List your review queue glab mr list --reviewer=@me --state=opened # Review an MR glab mr checkout 456 glab mr diff npm test # Approve glab mr approve 456 glab mr note 456 -m "LGTM! Nice work on the error handling."
# Check pipeline status glab ci status # View failed jobs glab ci view # Get job logs glab ci trace <job-id> # Retry failed job glab ci retry <job-id>
Need to track work? โโ Yes โ Create issue first (glab issue create) โ Then: glab mr for <issue-id> โโ No โ Direct MR (glab mr create --fill) Use glab issue create + glab mr for when: Work needs discussion/approval before coding Tracking feature requests or bugs Sprint planning and assignment Want issue to auto-close when MR merges Use glab mr create directly when: Quick fixes or typos Working from existing issue Hotfixes or urgent changes
What do you need? โโ Overall pipeline status โ glab ci status โโ Visual pipeline view โ glab ci view โโ Specific job logs โ glab ci trace <job-id> โโ Download build artifacts โ glab ci artifact <ref> <job-name> โโ Validate config file โ glab ci lint โโ Trigger new run โ glab ci run โโ List all pipelines โ glab ci list Quick reference: Pipeline-level: glab ci status, glab ci view, glab ci run Job-level: glab ci trace, glab job retry, glab job view Artifacts: glab ci artifact (by pipeline) or job artifacts via glab job
What's your relationship to the repo? โโ You have write access โ glab repo clone group/project โโ Contributing to someone else's project: โ โโ One-time contribution โ glab repo fork + work + MR โ โโ Ongoing contributions โ glab repo fork, then sync regularly โโ Just reading/exploring โ glab repo clone (or view --web) Fork when: You don't have write access to the original repo Contributing to open source projects Experimenting without affecting the original Need your own copy for long-term work Clone when: You're a project member with write access Working on organization/team repositories No need for a personal copy
Where should the label live? โโ Used across multiple projects โ glab label create --group <group> โโ Specific to one project โ glab label create (in project directory) Group-level labels: Consistent labeling across organization Examples: priority::high, type::bug, status::blocked Managed centrally, inherited by projects Project-level labels: Project-specific workflows Examples: needs-ux-review, deploy-to-staging Managed by project maintainers
MR and Issue workflows: Start with glab-issue to create/track work Use glab-mr to create MR that closes issue Script: scripts/create-mr-from-issue.sh automates this CI/CD debugging: Use glab-ci for pipeline-level operations Use glab-job for individual job operations Script: scripts/ci-debug.sh for quick failure diagnosis Repository operations: Use glab-repo for repository management Use glab-auth for authentication setup Script: scripts/sync-fork.sh for fork synchronization Configuration: Use glab-auth for initial authentication Use glab-config to set defaults and preferences Use glab-alias for custom shortcuts
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.