glab

henricook/claude-glab-skill · updated Apr 26, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/henricook/claude-glab-skill --skill glab
0 commentsdiscussion
summary

Provides guidance for using glab, the official GitLab CLI, to perform GitLab operations from the terminal.

skill.md

GitLab CLI (glab) Skill

Provides guidance for using glab, the official GitLab CLI, to perform GitLab operations from the terminal.

When to Use This Skill

Invoke when the user needs to:

  • Create, review, or manage merge requests
  • Work with GitLab issues
  • Monitor or trigger CI/CD pipelines
  • Clone or manage repositories
  • Perform any GitLab operation from the command line

Prerequisites

Verify glab installation before executing commands:

glab --version

If not installed, inform the user and provide platform-specific installation guidance.

Authentication Quick Start

Most glab operations require authentication:

# Interactive authentication
glab auth login

# Check authentication status
glab auth status

# For self-hosted GitLab
glab auth login --hostname gitlab.example.org

# Using environment variables
export GITLAB_TOKEN=your-token
export GITLAB_HOST=gitlab.example.org  # for self-hosted

Core Workflows

Creating a Merge Request

# 1. Ensure branch is pushed
git push -u origin feature-branch

# 2. Create MR
glab mr create --title "Add feature" --description "Implements X"

# With reviewers and labels
glab mr create --title "Fix bug" --reviewer=alice,bob --label="bug,urgent"

Reviewing Merge Requests

# 1. List MRs awaiting your review
glab mr list --reviewer=@me

# 2. Checkout MR locally to test
glab mr checkout <mr-number>

# 3. After testing, approve
glab mr approve <mr-number>

# 4. Add review comments
glab mr note <mr-number> -m "Please update tests"

Managing Issues

# Create issue with labels
glab issue create --title "Bug in login" --label=bug

# Link MR to issue
glab mr create --title "Fix login" --description "Closes #<issue-number>"

# List your assigned issues
glab issue list --assignee=@me

Monitoring CI/CD

# Watch pipeline in progress
glab pipeline ci view

# Check pipeline status
glab ci status

# View logs if failed
glab ci trace

# Retry failed pipeline
glab ci retry

# Lint CI config before pushing
glab ci lint

Common Patterns

Working Outside Repository Context

When not in a Git repository, specify the repository:

glab mr list -R owner/repo
glab issue list -R owner/repo

Self-Hosted GitLab

Set hostname for all commands:

export GITLAB_HOST=gitlab.example.org
# or per-command
glab repo clone gitlab.example.org/owner/repo

Automation and Scripting

Use JSON output for parsing:

glab mr list --output=json | jq '.[] | .title'

Using the API Command

The glab api command provides direct GitLab API access:

# Basic API call
glab api projects/:id/merge_requests

# IMPORTANT: Pagination uses query parameters in URL, NOT flags
# ❌ WRONG: glab api --per-page=100 projects/:id/jobs
# ✓ CORRECT: glab api "projects/:id/jobs?per_page=100"

# Auto-fetch all pages
glab api --paginate "projects/:id/pipelines/123/jobs?per_page=100"

# POST with data
glab api --method POST projects/:id/issues --field title="Bug" --field description="Details"

Best Practices

  1. Verify authentication before executing commands: glab auth status
  2. Use --help to explore command options: glab <command> --help
  3. Link MRs to issues using "Closes #123" in MR description
  4. Lint CI config before pushing: glab ci lint
  5. Check repository context when commands fail: git remote -v

Common Commands Quick Reference

Merge Requests:

  • glab mr list --assignee=@me - Your assigned MRs
  • glab mr list --reviewer=@me - MRs for you to review
  • glab mr create - Create new MR
  • glab mr checkout <number> - Test MR locally
  • glab mr approve <number> - Approve MR
  • glab mr merge <number> - Merge approved MR

Issues:

  • glab issue list - List all issues
  • glab issue create - Create new issue
  • glab issue close <number> - Close issue

CI/CD:

  • glab pipeline ci view - Watch pipeline
  • glab ci status - Check status
  • glab ci lint - Validate .gitlab-ci.yml
  • glab ci retry - Retry failed pipeline

Repository:

  • glab repo clone owner/repo - Clone repository
  • glab repo view - View repo details
  • glab repo fork - Fork repository

Progressive Disclosure

For detailed command documentation, refer to:

  • references/commands-detailed.md - Comprehensive command reference with all flags and options
  • references/quick-reference.md - Condensed command cheat sheet
  • references/troubleshooting.md - Detailed error scenarios and solutions

Load these references when:

  • User needs specific flag or option details
  • Troubleshooting authentication or connection issues
  • Working with advanced features (API, schedules, variables, etc.)

Common Issues Quick Fixes

"command not found: glab" - Install glab or verify PATH

"401 Unauthorized" - Run glab auth login

"404 Project Not Found" - Verify repository name and access permissions

"not a git repository" - Navigate to repo or use -R owner/repo flag

"source branch already has a merge request" - Use glab mr list to find existing MR

For detailed troubleshooting, load references/troubleshooting.md.

Notes

  • glab auto-detects repository context from Git remote
  • Most commands have --web flag to open in browser
  • Use --output=json for scripting and automation
  • Multiple GitLab accounts can be authenticated simultaneously
  • Commands respect Git configuration and current repository context
how to use glab

How to use glab on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add glab
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/henricook/claude-glab-skill --skill glab

The skills CLI fetches glab from GitHub repository henricook/claude-glab-skill and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/glab

Reload or restart Cursor to activate glab. Access the skill through slash commands (e.g., /glab) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.726 reviews
  • Dhruvi Jain· Dec 4, 2024

    I recommend glab for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Oshnikdeep· Nov 23, 2024

    Solid pick for teams standardizing on skills: glab is focused, and the summary matches what you get after install.

  • Ganesh Mohane· Oct 14, 2024

    glab is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ava Gill· Sep 17, 2024

    Registry listing for glab matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hassan Agarwal· Sep 13, 2024

    glab reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kiara Agarwal· Sep 5, 2024

    We added glab from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kiara Khanna· Aug 24, 2024

    glab reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ava Rao· Aug 8, 2024

    Useful defaults in glab — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • William Ramirez· Aug 4, 2024

    We added glab from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Rahul Santra· Jul 27, 2024

    Useful defaults in glab — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

showing 1-10 of 26

1 / 3