gitlab-skill
GitLab CI/CD pipeline configuration and GLFM documentation expertise. Use when modifying .gitlab-ci.yml, optimizing pipelines, testing with gitlab-ci-local, writing GitLab README/Wiki content, configuring Docker-in-Docker workflows, or implementing CI Steps composition.
84
81%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
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 defines its scope around GitLab CI/CD and GLFM documentation. It provides specific, actionable trigger terms and an explicit 'Use when...' clause covering multiple concrete scenarios. The description is concise yet comprehensive, with distinctive GitLab-specific terminology that minimizes conflict risk.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: modifying .gitlab-ci.yml, optimizing pipelines, testing with gitlab-ci-local, writing GitLab README/Wiki content, configuring Docker-in-Docker workflows, and implementing CI Steps composition. | 3 / 3 |
Completeness | Clearly answers both 'what' (GitLab CI/CD pipeline configuration and GLFM documentation expertise) and 'when' with an explicit 'Use when...' clause listing six specific trigger scenarios. | 3 / 3 |
Trigger Term Quality | Includes strong natural trigger terms users would actually say: '.gitlab-ci.yml', 'pipelines', 'gitlab-ci-local', 'Docker-in-Docker', 'CI Steps', 'GitLab README', 'Wiki', 'GLFM'. These cover both file names and common concepts users would reference. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with GitLab-specific terminology (.gitlab-ci.yml, GLFM, gitlab-ci-local, CI Steps composition) that clearly distinguishes it from generic CI/CD or Docker skills. Unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
62%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill excels at actionability with concrete, executable commands and clear workflow sequences with validation checkpoints. However, it is severely undermined by poor conciseness — the inlined Documentation Index alone is ~200 lines of file listings that should be in a separate reference file or auto-discovered. The skill tries to be both an overview and a comprehensive reference, resulting in a document that is far too long for its role as a SKILL.md entry point.
Suggestions
Move the Documentation Index to a separate reference file (e.g., references/doc-index.md) and replace it with a brief 2-3 line pointer in SKILL.md, dramatically reducing the file size.
Remove the Identity section which duplicates the skill description, and trim the Capability Domains headers to be more concise — e.g., 'The model must apply for' phrasing is unnecessary boilerplate.
Consolidate the validation checklists into a single referenced file (e.g., references/validation-checklists.md) since they are detailed operational checklists better suited as reference material than inline content.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose. The Documentation Index alone is ~200 lines of file listings that serve as a table of contents for reference files. Much of the content restates things Claude already knows (e.g., explaining what CI/CD is, what GLFM stands for). The 'Identity' section repeats the description. The massive documentation index could be auto-generated or referenced rather than inlined. | 1 / 3 |
Actionability | The skill provides concrete, executable commands throughout: gitlab-ci-local usage, glab CLI commands with exact flags, validate_glfm.py invocations with real arguments, and example outputs from commands like `glab ci get` and `glab ci list`. The setup procedures and common operations are copy-paste ready. | 3 / 3 |
Workflow Clarity | The Execution Protocol provides a clear 6-step sequence. Quick Start Paths give domain-specific workflows with numbered steps. The validation checklists serve as explicit checkpoints before committing. The glab CLI section includes a common workflow with validate-commit-monitor-debug sequence. The GLFM section includes a validate-before-finalizing feedback loop. | 3 / 3 |
Progressive Disclosure | The skill has good reference links to separate files (pipeline-optimization.md, common-patterns.md, glfm-syntax.md, etc.) and a clear Quick Start Paths section. However, the massive Documentation Index (~200 lines) is inlined rather than being in a separate reference file, and the overall document is far too long for an overview/entry point. The content that should be a concise overview is bloated with the full doc tree. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (626 lines); consider splitting into references/ and linking | Warning |
Total | 10 / 11 Passed | |
- Repository
- Jamie-BitFlight/claude_skills
- Commit
b9f32ec
- Reviewed
Table of Contents
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