🤖
Gitlab Cli Skills
Comprehensive GitLab CLI (glab) command reference and workflows for all GitLab operations via terminal. Use when user mentions GitLab CLI, glab commands, Git...
安全通过
🔌MCP
技能说明
name: gitlab-cli-skills
description: Comprehensive GitLab CLI (glab) command reference and workflows for all GitLab operations via terminal. Use when user mentions GitLab CLI, glab commands, GitLab automation, MR/issue management via CLI, CI/CD pipeline commands, repo operations, authentication setup, or any GitLab terminal operations. Routes to specialized sub-skills for auth, CI, MRs, issues, releases, repos, and 30+ other glab commands. Triggers on glab, GitLab CLI, GitLab commands, GitLab terminal, GitLab automation.
requirements:
binaries:
- glab
binaries_optional:
- cosign
notes: |
Requires GitLab authentication via 'glab auth login' (stores token in /.config/glab-cli/config.yml).
Some features may access sensitive files: SSH keys (/.ssh/id_rsa for DPoP), Docker config (/.docker/config.json for registry auth).
Review auth workflows and script contents before autonomous use.
openclaw:
requires:
credentials:
- name: GITLAB_TOKEN
description: >
GitLab personal access token with 'api' scope. Used by automation
scripts (e.g. post-inline-comment.py) to post MR comments via the
REST API. If not set, scripts fall back to reading the token from
glab CLI config (/.config/glab-cli/config.yml).
required: false
fallback: glab config (set via glab auth login)
network:
- description: Outbound HTTPS to your GitLab instance (default https://gitlab.com)
scope: authenticated API calls only; HTTPS enforced; token never sent over HTTP
write_access:
- description: >
Scripts in this skill can post comments, resolve threads, and approve
merge requests on your behalf. Review scripts/post-inline-comment.py
before use in automated or agentic contexts.
GitLab CLI Skills
Comprehensive GitLab CLI (glab) command reference and workflows.
Quick start
# 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
Skill organization
This skill routes to specialized sub-skills by GitLab domain:
Core Workflows:
glab-mr- Merge requests: create, review, approve, mergeglab-issue- Issues: create, list, update, close, commentglab-ci- CI/CD: pipelines, jobs, logs, artifactsglab-repo- Repositories: clone, create, fork, manage
Project Management:
glab-milestone- Release planning and milestone trackingglab-iteration- Sprint/iteration managementglab-label- Label management and organizationglab-release- Software releases and versioning
Authentication & Config:
glab-auth- Login, logout, Docker registry authglab-config- CLI configuration and defaultsglab-ssh-key- SSH key managementglab-gpg-key- GPG keys for commit signingglab-token- Personal and project access tokens
CI/CD Management:
glab-job- Individual job operationsglab-schedule- Scheduled pipelines and cron jobsglab-variable- CI/CD variables and secretsglab-securefile- Secure files for pipelinesglab-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 informationglab-snippet- Code snippets (GitLab gists)glab-incident- Incident managementglab-workitems- Work items: tasks, OKRs, key results, next-gen epics (added v1.87.0)
Advanced:
glab-api- Direct REST API callsglab-cluster- Kubernetes cluster integrationglab-deploy-key- Deploy keys for automationglab-stack- Stacked/dependent merge requestsglab-opentofu- Terraform/OpenTofu state management
Utilities:
glab-alias- Custom command aliasesglab-completion- Shell autocompletionglab-help- Command help and documentationglab-version- Version informationglab-check-update- Update checkerglab-changelog- Changelog generationglab-attestation- Software supply chain securityglab-duo- GitLab Duo AI assistantglab-mcp- Model Context Protocol server for AI assistant integration (EXPERIMENTAL)
When to use glab vs web UI
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
Common workflows
Daily development
# 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
Code review
# 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."
CI/CD debugging
# 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>
Decision Trees
"Should I create an MR or work on an issue first?"
Need to track work?
├─ Yes → Create issue first (glab issue create)
│ Then: glab mr for <issue-id>
└─ No → 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
"Which CI command should I use?"
What do you need?
├─ Overall pipeline status → glab ci status
├─ Visual pipeline view → glab ci view
├─ Specific job logs → glab ci trace <job-id>
├─ Download build artifacts → glab ci artifact <ref> <job-name>
├─ Validate config file → glab ci lint
├─ Trigger new run → glab ci run
└─ List all pipelines → 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 viaglab job
"Clone or fork?"
What's your relationship to the repo?
├─ You have write access → glab repo clone group/project
├─ Contributing to someone else's project:
│ ├─ One-time contribution → glab repo fork + work + MR
│ └─ Ongoing contributions → glab repo fork, then sync regularly
└─ Just reading/exploring → 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
"Project vs group labels?"
Where should the label live?
├─ Used across multiple projects → glab label create --group <group>
└─ Specific to one project → 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
Related Skills
MR and Issue workflows:
- Start with
glab-issueto create/track work - Use
glab-mrto create MR that closes issue - Script:
scripts/create-mr-from-issue.shautomates this
CI/CD debugging:
- Use
glab-cifor pipeline-level operations - Use
glab-jobfor individual job operations - Script:
scripts/ci-debug.shfor quick failure diagnosis
Repository operations:
- Use
glab-repofor repository management - Use
glab-authfor authentication setup - Script:
scripts/sync-fork.shfor fork synchronization
Configuration:
- Use
glab-authfor initial authentication - Use
glab-configto set defaults and preferences - Use
glab-aliasfor custom shortcuts
如何使用「Gitlab Cli Skills」?
- 打开小龙虾AI(Web 或 iOS App)
- 点击上方「立即使用」按钮,或在对话框中输入任务描述
- 小龙虾AI 会自动匹配并调用「Gitlab Cli Skills」技能完成任务
- 结果即时呈现,支持继续对话优化