gitlab

odyssey4me/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/odyssey4me/agent-skills --skill gitlab
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summary

This skill provides GitLab integration using the official glab CLI tool. A Python wrapper script produces markdown-formatted output for read/view operations. Action commands (create, merge, close, comment) should use glab directly.

skill.md

GitLab Skill

This skill provides GitLab integration using the official glab CLI tool. A Python wrapper script produces markdown-formatted output for read/view operations. Action commands (create, merge, close, comment) should use glab directly.

Prerequisites

Install glab CLI: installation guide

Authentication

# Authenticate with GitLab
glab auth login

# Verify authentication
glab auth status

Supports GitLab.com, GitLab Dedicated, and GitLab Self-Managed instances. See GitLab CLI Authentication for details.

Script Usage

The wrapper script (scripts/gitlab.py) formats output as markdown. Use it for read/view operations to get agent-consumable output. Use glab directly for action commands (create, merge, close, comment). See permissions.md for read/write classification of each command.

# Check glab CLI is installed and authenticated
$SKILL_DIR/scripts/gitlab.py check

# Issues
$SKILL_DIR/scripts/gitlab.py issues list --repo GROUP/REPO
$SKILL_DIR/scripts/gitlab.py issues view 123 --repo GROUP/REPO

# Merge Requests
$SKILL_DIR/scripts/gitlab.py mrs list --repo GROUP/REPO
$SKILL_DIR/scripts/gitlab.py mrs view 456 --repo GROUP/REPO

# Pipelines
$SKILL_DIR/scripts/gitlab.py pipelines list --repo GROUP/REPO
$SKILL_DIR/scripts/gitlab.py pipelines view 123456 --repo GROUP/REPO

# Repositories
$SKILL_DIR/scripts/gitlab.py repos list
$SKILL_DIR/scripts/gitlab.py repos view GROUP/REPO

All commands support --limit N for list commands (default 30).

Commands (Direct glab Usage)

For action commands, use glab directly:

Issues

glab issue list                    # List issues
glab issue view 123                # View issue details
glab issue create                  # Create new issue
glab issue note 123                # Add comment
glab issue close 123               # Close issue
glab issue update 123 --label bug  # Edit issue

Full reference: glab issue

Merge Requests

glab mr list                       # List merge requests
glab mr view 456                   # View MR details
glab mr create                     # Create new MR
glab mr approve 456                # Approve MR
glab mr merge 456                  # Merge MR
glab mr checkout 456               # Checkout MR branch
glab mr diff 456                   # View MR diff
glab mr note 456                   # Add comment to MR

Full reference: glab mr

Pipelines & CI/CD

glab ci list                       # List pipelines
glab ci view 123456                # View pipeline details
glab ci run                        # Trigger pipeline
glab ci trace                      # Watch pipeline logs
glab ci retry 123456               # Retry failed pipeline
glab ci status                     # Show pipeline status

Full references:

Repositories

glab repo list                     # List repositories
glab repo view GROUP/REPO          # View repository
glab repo create                   # Create repository
glab repo clone GROUP/REPO         # Clone repository
glab repo fork GROUP/REPO          # Fork repository

Full reference: glab repo

Releases

glab release list                  # List releases
glab release view v1.0.0           # View release details
glab release create v1.0.0         # Create release
glab release delete v1.0.0         # Delete release

Full reference: glab release

Examples

Daily MR Review

# List MRs assigned to you
glab mr list --assignee=@me

# Review a specific MR
$SKILL_DIR/scripts/gitlab.py mrs view 456
glab mr diff 456
glab mr approve 456

# Verify approval was recorded
$SKILL_DIR/scripts/gitlab.py mrs view 456  # check approval status

Create Issue and Link MR

# Create issue
glab issue create --title "Bug: Login fails" --description "Description" --label bug
# Verify: note the issue number from output

# Create MR that closes it (use issue number from above)
glab mr create --title "Fix login bug" --description "Closes #123"
# Verify MR was created and linked
$SKILL_DIR/scripts/gitlab.py mrs view <number>

Monitor CI Pipeline

# Check current pipeline status
glab ci status

# Watch pipeline logs in real-time
glab ci trace

# Retry failed jobs
glab ci retry
# Verify pipeline restarted
$SKILL_DIR/scripts/gitlab.py pipelines list

See common-workflows.md for more examples.

Advanced Usage

JSON Output for Scripting

# Get JSON output
glab issue list --output json

# Process with jq
glab mr list --output json | jq '.[] | "\(.iid): \(.title)"'

GitLab API Access

For operations not covered by glab commands:

# Make authenticated API request
glab api projects/:id/issues

# POST request
glab api projects/:id/issues -X POST -f title="Issue" -f description="Text"

# Process response
glab api projects/:id | jq '.star_count'

Full reference: glab api

Aliases for Frequent Operations

# Create shortcuts
glab alias set mrs 'mr list --assignee=@me'
glab alias set issues 'issue list --assignee=@me'
glab alias set pipelines 'ci list'

# Use them
glab mrs
glab issues
glab pipelines

Configuration

# View configuration
glab config get

# Set default editor
glab config set editor vim

# Set default Git protocol
glab config set git_protocol ssh

Configuration stored in ~/.config/glab-cli/config.yml

Model Guidance

This skill wraps an official CLI. A fast, lightweight model is sufficient.

Troubleshooting

# Check authentication
glab auth status

# Re-authenticate
glab auth login

# Enable debug logging
DEBUG=1 glab issue list

# Check glab version
glab version

Official Documentation

how to use gitlab

How to use gitlab 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 gitlab
2

Execute installation command

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

$npx skills add https://github.com/odyssey4me/agent-skills --skill gitlab

The skills CLI fetches gitlab from GitHub repository odyssey4me/agent-skills 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/gitlab

Reload or restart Cursor to activate gitlab. Access the skill through slash commands (e.g., /gitlab) 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

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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)
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general reviews

Ratings

4.633 reviews
  • Hiroshi Iyer· Dec 24, 2024

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

  • Amina Desai· Dec 16, 2024

    Keeps context tight: gitlab is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Xiao Yang· Nov 15, 2024

    gitlab fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Anaya Robinson· Nov 7, 2024

    gitlab has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Xiao Huang· Oct 26, 2024

    gitlab fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Anaya Wang· Oct 6, 2024

    gitlab has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Yuki Kim· Sep 17, 2024

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

  • Amelia White· Sep 17, 2024

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

  • Oshnikdeep· Sep 9, 2024

    gitlab fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Nia Harris· Sep 5, 2024

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

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