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.
88
82%
Does it follow best practices?
Impact
97%
1.42xAverage score across 3 eval scenarios
Passed
No known issues
Quality
Discovery
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.
This is a strong skill description that clearly identifies the domain (GitLab CI/CD), lists specific capabilities (multi-stage workflows, caching, distributed runners), and provides explicit trigger guidance via a 'Use when' clause. It uses proper third-person voice and includes natural keywords that users would employ when seeking help with GitLab pipelines.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: building multi-stage workflows, caching, distributed runners, and scalable automation. These are concrete, actionable capabilities rather than vague language. | 3 / 3 |
Completeness | Clearly answers both 'what' (build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners) and 'when' (implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment) with an explicit 'Use when' clause. | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'GitLab CI/CD', 'pipeline', 'caching', 'runners', 'automated testing', 'deployment', 'pipeline performance'. These cover common terms a user would naturally use when seeking this skill. | 3 / 3 |
Distinctiveness Conflict Risk | Clearly scoped to GitLab CI/CD specifically, with distinct triggers like 'GitLab CI/CD', 'distributed runners', and 'multi-stage workflows' that distinguish it from generic CI/CD or other platform-specific pipeline skills (e.g., GitHub Actions, Jenkins). | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a solid collection of actionable, executable GitLab CI/CD pipeline patterns covering a wide range of use cases. Its main strengths are the breadth and concreteness of the YAML examples. Weaknesses include some unnecessary introductory content, lack of error recovery guidance for deployment workflows, and a monolithic structure that could benefit from better progressive disclosure.
Suggestions
Remove the 'Purpose' and 'When to Use' sections and trim the best practices list to only non-obvious, GitLab-specific advice to improve conciseness.
Add explicit validation and rollback steps to deployment workflows (e.g., health checks after kubectl apply, rollback commands on failure) to improve workflow clarity.
Move detailed patterns (Terraform pipeline, security scanning, caching strategies) into separate reference files and link to them from the main skill to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill includes some unnecessary framing ('Comprehensive GitLab CI/CD pipeline patterns...', 'Purpose', 'When to Use' sections) and the best practices list is generic advice Claude already knows. However, the code examples themselves are reasonably lean and the content is mostly useful configuration patterns. | 2 / 3 |
Actionability | The skill provides fully executable, copy-paste ready YAML configurations for multiple real-world scenarios including basic pipelines, Docker builds, multi-environment deployments, Terraform pipelines, security scanning, caching strategies, and dynamic child pipelines. All examples are concrete and complete. | 3 / 3 |
Workflow Clarity | The Terraform pipeline has a clear validate→plan→apply sequence with manual gates, and deployments use rollout status checks. However, there are no explicit validation/feedback loops for error recovery in deployment scenarios, and the overall document presents patterns as isolated blocks without guidance on how to compose or troubleshoot them. | 2 / 3 |
Progressive Disclosure | The document references external files ('assets/gitlab-ci.yml.template', 'references/pipeline-stages.md') and related skills, which is good. However, the main file is quite long with many inline examples that could be split into separate reference files, and the references are mentioned briefly at the bottom rather than being well-signaled throughout the content. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- Dicklesworthstone/pi_agent_rust
- Commit
6e3d68c
- Reviewed
Table of Contents
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