Babysitter survey-data-processor

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

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/civil-engineering/skills/survey-data-processor" ~/.claude/skills/a5c-ai-babysitter-survey-data-processor && rm -rf "$T"

manifest: library/specializations/domains/science/civil-engineering/skills/survey-data-processor/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

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