AI Skills

The GitLab lexicon ships an AI skill called chant-gitlab that teaches AI coding agents (like Claude Code) how to build, validate, and deploy GitLab CI pipelines from a chant project.

What are skills?

Skills are structured markdown documents bundled with a lexicon. When an AI agent works in a chant project, it discovers and loads relevant skills automatically — giving it operational knowledge about the deployment workflow without requiring the user to explain each step.

Installation

When you scaffold a new project with chant init --lexicon gitlab, the skill is installed to skills/chant-gitlab/SKILL.md for automatic discovery by Claude Code.

For existing projects, create the file manually:

.claude/
  skills/
    chant-gitlab/
      SKILL.md    # skill content (see below)

Skill: chant-gitlab

The chant-gitlab skill covers the full deployment lifecycle:

• Build — chant build src/ --output .gitlab-ci.yml
• Validate — chant lint src/ + GitLab CI Lint API
• Deploy — commit and push the generated YAML
• Status — GitLab UI or pipelines API
• Retry — retry failed jobs via UI or API
• Cancel — cancel running pipelines via API
• Troubleshooting — job logs, lint rule codes (WGL001–WGL004), post-synth checks (WGL010–WGL015)

The skill is invocable as a slash command: /chant-gitlab

MCP integration

The lexicon also provides MCP (Model Context Protocol) tools and resources that AI agents can use programmatically:

MCP tool	Description
build	Build the chant project
lint	Run lint rules
explain	Summarize project resources
scaffold	Generate starter files
search	Search available resource types
gitlab:diff	Compare current build output against previous

MCP resource	Description
resource-catalog	JSON list of all supported GitLab CI entity types
examples/basic-pipeline	Example pipeline with build, test, and deploy jobs