Survey Data Processor Skill

SkillDev tools

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

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Survey Data Processor Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/civil-engineering/skills/survey-data-processor/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
survey-data-processor
Source
github.com/a5c-ai/babysitter