# genpark-unified-gitlab-ci-pipeline-analyzer-optimizer-skill

> genpark-unified-gitlab-ci-pipeline-analyzer-optimizer-skill — alphaparkinc-genpark-unified-gitlab-ci-pipeline-analyzer-optimizer-skill. Use this tool when you need to analyze and optimize GitLab CI pipelines for improved performance and efficiency. It solves problems related to pipeline configuration errors, stage bottlenecks, and resource utilization, providing inputs such as pipeline configuration files and outputs like optimized stage settings. Ideal for use in DevOps workflows, it streamlines pipeline management and reduces errors.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-unified-gitlab-ci-pipeline-analyzer-optimizer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-unified-gitlab-ci-pipeline-analyzer-optimizer-skill

## Description

Unified GitLab CI pipeline analyzer & stage optimizer (GitLab CI Lint style)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-unified-gitlab-ci-pipeline-analyzer-optimizer-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-unified-gitlab-ci-pipeline-analyzer-optimizer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-unified-gitlab-ci-pipeline-analyzer-optimizer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-unified-gitlab-ci-pipeline-analyzer-optimizer-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt