A specialized technical skill for identifying, comparing, and planning transformations between global and local geographic coordinate reference systems.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install proj
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install proj using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Project skill is an essential utility for developers and geospatial professionals working with spatial data. It provides the deep domain expertise required to navigate the complexities of Coordinate Reference Systems (CRS), map projections, and datum transformations. Whether you are dealing with global standards like WGS84 or regional Chinese offset systems like GCJ-02, this skill ensures technical accuracy in every spatial operation.
By leveraging this tool within the Openclaw Skills ecosystem, users can avoid common pitfalls such as axis order swaps (lat/lon vs. lon/lat), unit mismatches (meters vs. degrees), and datum inconsistencies. It serves as a decision-support engine that recommends the optimal EPSG codes for storage, web display, or high-precision engineering measurements.
To integrate this capability into your environment, ensure you have the Openclaw Skills framework initialized. You can reference this skill in your project configuration:
# Install the core skill package
openclaw install skill-project
# Verify your reference documents are in place
ls ./references/common-systems.md
The skill organizes spatial logic based on standard geodetic taxonomies. Metadata and reference values are structured as follows:
| Attribute | Description |
|---|---|
| CRS Type | Geographic (2D/3D), Projected, or Vertical |
| Identifiers | Primary use of EPSG codes (e.g., 4326, 3857) |
| Unit Metrics | Explicit definitions of degrees, meters, or international feet |
| Axis Order | Strict tracking of (Lon, Lat) vs (Lat, Lon) based on software API specs |
| Datum | Reference ellipsoids like WGS 84 or GRS 80 |
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