survey-data-processor
Survey data processing skill for point clouds, DTM generation, and coordinate transformation
Best use case
survey-data-processor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Survey data processing skill for point clouds, DTM generation, and coordinate transformation
Teams using survey-data-processor should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/survey-data-processor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How survey-data-processor Compares
| Feature / Agent | survey-data-processor | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Survey data processing skill for point clouds, DTM generation, and coordinate transformation
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
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