# Survey Data Processor

> Survey Data Processor is an Agent Skill for documents published in the a5c-ai/babysitter repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Survey data processing skill for point clouds, DTM generation, and coordinate transformation

- Skill name: `survey-data-processor`
- Category: [Documents](https://www.openparable.com/skill/documents/1)
- Source: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/science/civil-engineering/skills/survey-data-processor/SKILL.md
- Repository: a5c-ai/babysitter (1,548 GitHub stars when collected)

## SKILL.md

# Survey Data Processor Skill

## Purpose

The Survey Data Processor Skill processes survey data including point cloud processing, DTM/TIN generation, coordinate transformation, and traverse adjustment.

## Capabilities

- Point cloud processing
- DTM/TIN generation
- Coordinate transformation
- Traverse adjustment
- Level loop adjustment
- GNSS data processing
- Contour generation
- Feature extraction

## Usage Guidelines

### When to Use
- Processing survey data
- Creating terrain models
- Transforming coordinates
- Adjusting measurements

### Prerequisites
- Survey data collected
- Control points established
- Coordinate system defined
- Quality requirements known

### Best Practices
- Check data quality
- Verify transformations
- Document adjustments
- Archive raw data

## Process Integration

This skill integrates with:
- Geotechnical Site Investigation
- Highway Geometric Design

## Configuration

```yaml
survey-data-processor:
  data-types:
    - point-cloud
    - total-station
    - GNSS
    - level
  processing:
    - DTM-generation
    - adjustment
    - transformation
    - feature-extraction
```

## Output Artifacts

- DTM surfaces
- Adjusted coordinates
- Transformation reports
- Survey maps

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Source: https://www.openparable.com/skill/documents/survey-data-processor (OpenParable). Cite the canonical URL above.