# LineSight

> LineSight — marcoaguzman-linesight. Use this tool when you need to analyze plant-floor data and gain continuous-improvement insights from manufacturing operations. LineSight enables AI assistants to calculate key metrics such as OEE, Pareto, SPC, and yield-loss, solving problems related to production efficiency and quality control. It takes in manufacturing data as input and outputs actionable insights to inform data-driven decisions.

Canonical page: https://skillsregistry.net/skills/marcoaguzman-linesight  
JSON: https://api.skillsregistry.net/v1/skills/marcoaguzman-linesight

## Description

Enables AI assistants to analyze plant-floor data using OEE, Pareto, SPC, and yield-loss calculations, providing continuous-improvement insights from manufacturing data.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y0prwhrj0s)
- **Repository:** <https://github.com/marcoaguzman/linesight>

## 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": "marcoaguzman-linesight"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marcoaguzman-linesight` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marcoaguzman-linesight/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