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gitlab-ci-patterns

Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.

Quality

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Advisory

Suggest reviewing before use

Quality

Content

65%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The skill is a strong, executable GitLab CI pattern catalog with copy-paste-ready YAML, but it reads as a flat reference rather than a guided workflow and lacks validation checkpoints for its risky deploy/apply steps.

Suggestions

Add an explicit validation/feedback loop (e.g., 'kubectl rollout status' with a retry-on-failure step) for the production deploy and terraform apply jobs to raise workflow clarity.

Trim repeated job definitions such as the caching 'build:' block and consolidate overlapping examples to tighten conciseness.

Split detailed templates (Terraform, multi-environment deploy) into referenced files so SKILL.md stays a lean overview with clearly signaled one-level-deep references.

Dimension	Reasoning	Score
Conciseness	The body is code-heavy with minimal explanatory prose, but it is long and repeats near-identical job blocks (e.g., caching re-shows 'build:' with cache settings), so it is mostly efficient rather than fully lean.	2 / 3
Actionability	Every section provides complete, executable YAML (build/test/deploy, Docker, Terraform, security scanning) that is copy-paste ready, matching the top anchor.	3 / 3
Workflow Clarity	It is a pattern catalog rather than a sequenced workflow, and the risky deploy/apply jobs lack explicit validation checkpoints or feedback loops, which caps it below 3.	2 / 3
Progressive Disclosure	Sections are clearly organized, but all content is inline in a single file with no one-level-deep references splitting the catalog, so it stops short of the well-signaled reference structure at level 3.	2 / 3
	Total	9 / 12 Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is concise, specific, and complete: it states concrete capabilities in third person and provides an explicit 'Use when' trigger clause. It clearly occupies a distinct GitLab CI/CD niche.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions ('multi-stage workflows, caching, and distributed runners') in third person, matching the top anchor rather than the vague 'names domain and some actions' at level 2.	3 / 3
Completeness	Explicitly answers both what ('Build GitLab CI/CD pipelines...') and when ('Use when implementing GitLab CI/CD, optimizing pipeline performance...'), so it does not hit the level-2 cap for a missing trigger clause.	3 / 3
Trigger Term Quality	Covers natural user-facing terms ('GitLab CI/CD', 'pipeline performance', 'automated testing and deployment') that a user would actually say, satisfying the good-coverage anchor.	3 / 3
Distinctiveness Conflict Risk	Clearly scoped to GitLab CI/CD with distinct triggers, unlikely to fire for unrelated skills, matching the clear-niche anchor.	3 / 3
	Total	12 / 12 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: wshobson/agents
Commit: 5cc2549

Reviewed: 2 days ago

Table of Contents

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