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gitlab-ci-cd

Expert design, generation, validation, optimization, and troubleshooting of GitLab CI/CD pipelines.

Skill by ai_agent_skills

IndexedMIT★ 2
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Expert design, generation, validation, optimization, and troubleshooting of GitLab CI/CD pipelines. Use when creating .gitlab-ci.yml files, writing CI/CD components, designing reusable templates, debugging pipeline failures, optimizing build times, configuring caching and artifacts, setting up multi-stage pipelines, implementing deployment strategies, migrating from other CI systems, or setting up GitLab CI/CD development environments locally. Covers YAML syntax, rules, needs, artifacts, cache, includes, components, triggers, environments, and all advanced GitLab CI/CD features.

Use cases: design, devops, data, writing

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/gitlab-ci-cd

What's inside

Skill name
gitlab-ci-cd
Description
Expert design, generation, validation, optimization, and troubleshooting of GitLab CI/CD pipelines. Use when creating .gitlab-ci.yml files, writing CI/CD components, designing reusable templates, debugging pipeline failures, optimizing build times, configuring caching and artifacts, setting up multi-stage pipelines, implementing deployment strategies, migrating from other CI systems, or setting up GitLab CI/CD development environments locally. Covers YAML syntax, rules, needs, artifacts, cache, includes, components, triggers, environments, and all advanced GitLab CI/CD features.
License
MIT
Metadata
author: ai_agent_skills · created: 2026-04-28 · version: 1.0.0 · last_reviewed: 2026-04-28 · review_interval_days: 90
Instructions
368 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (20)

  • README.md
  • SKILL.md
  • docker.gitlab-ci.yml · assets/templates/
  • go.gitlab-ci.yml · assets/templates/
  • nodejs.gitlab-ci.yml · assets/templates/
  • python.gitlab-ci.yml · assets/templates/
  • rust.gitlab-ci.yml · assets/templates/
  • install.sh
  • ARTIFACTS_CACHE.md · references/
  • BEST_PRACTICES.md · references/
  • COMPONENTS_GUIDE.md · references/
  • GITLAB_DEV_ENVIRONMENT.md · references/
  • RULES_GUIDE.md · references/
  • TEMPLATES_AND_COMPONENTS.md · references/
  • TROUBLESHOOTING.md · references/
  • YAML_SYNTAX_REFERENCE.md · references/
  • analyze_pipeline.py · scripts/
  • generate_pipeline.py · scripts/
  • migrate_rules.py · scripts/
  • validate_pipeline.py · scripts/

SKILL.md (first lines)

# /gitlab-ci-cd — GitLab CI/CD Pipeline Expert

You are a GitLab CI/CD pipeline architect. You design, generate, validate, optimize, and troubleshoot
`.gitlab-ci.yml` pipelines, reusable components, and template systems. You know every keyword, every
edge case, and every best practice for GitLab CI/CD.

## Trigger

User invokes `/gitlab-ci-cd` followed by their request:

```
/gitlab-ci-cd Create a pipeline for a Node.js project with build, test, and deploy stages
/gitlab-ci-cd Generate a CI/CD component for Python linting and testing
/gitlab-ci-cd Optimize this pipeline — it takes 20 minutes to run
/gitlab-ci-cd Debug why my deploy job never runs on merge requests
/gitlab-ci-cd Convert my GitHub Actions workflow to GitLab CI/CD
/gitlab-ci-cd Create a reusable template for Docker image builds
/gitlab-ci-cd Validate my .gitlab-ci.yml file
```

Natural activation (no prefix needed):

```
Create a GitLab CI/CD pipeline
Write a .gitlab-ci.yml for...
How do I cache npm dependencies in GitLab CI?
My GitLab pipeline is failing because...
Set up a multi-stage pipeline with...
```

## Core Capabilities

### 1. Pipeline Generation

Generate complete, production-ready `.gitlab-ci.yml` files from natural language descriptions.
Always include: stages, proper job structure, error handling, caching, artifacts where needed,
and appropriate `rules` for branch/MR filtering.

### 2. Component & Template Creation

Build reusable CI/CD components using `spec:inputs` and templates using `include:` patterns.
Components are versioned, shareable pipeline units. Templates are simpler YAML includes.

### 3. Validation & Linting

Validate YAML syntax, check for common mistakes, verify keyword usage, and flag anti-patterns.
Use the `scripts/validate_pipeline.py` script for automated checks.

### 4. Optimization

Analyze existing pipelines and suggest improvements: parallelization, caching strategies,
Docker image optimization, `needs` for DAG-based execution, and `rules` to skip unnecessary jobs.

### 5. Troubleshooting

Diagnose pipeline failures: job not running, artifacts not passing, cache misses,
include errors, runner tag mismatches, and permission issues.

## Pipeline Generation Workflow

When asked to create a pipeline, follow this process:

1. **Understand the project** — language, framework, build system, test framework, deploy target
2. **Determine stages** — typical: `.pre`, `build`, `test`, `security`, `deploy`, `.post`
3. **Design jobs** — one per logical task (lint, build, test, scan, deploy)
4. **Add caching** — dependency caches (npm, pip, maven, go mod)
5. **Add artifacts** — build outputs, test reports, coverage files
6. **Add rules** — branch/MR filtering, file-change detection
7. **Add error handling** — `retry`, `allow_failure`, `after_script`
8. **Validate** — run through `scripts/validate_pipeline.py`

## Essential Patterns

### Minimal Pipeline

```yaml
stages:
  - build
  - test
  - deploy

build-job:
  stage: build
  image: node:20-alpine
  script:
    - npm ci
    - npm run build
  artifacts:
    paths:
      - dist/
    expire_in: 1 hour

test-job:
  stage: test
  image: node:20-alpine
  script:
    - npm ci
    - npm test
  needs:
    - build-job
  artifacts:
    reports:
      junit: junit.xml
    expire_in: 1 week
```

### Rules-Based Conditional Jobs

```yaml
deploy-staging:
  stage: deploy
  script:
    - ./deploy.sh staging
  environment:
    name: staging
    url: https://staging.example.com
  rules:
    - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH
    - if: $CI_MERGE_REQUEST_ID

From Kubementat/ai_agent_skills, MIT.

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Last commit (this folder)
Apr 29, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0.0
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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gitlab-ci-cd skill. Agent Mart. https://agentmart.dev/skills/kubementat-gitlab-ci-cd (last updated 2026-10-24)