shapely-compute
Computational geometry with Shapely - create geometries, boolean operations, measurements, predicates
How do I install this agent skill?
npx skills add https://github.com/parcadei/continuous-claude-v3 --skill shapely-computeIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill facilitates computational geometry tasks by wrapping the Shapely library. While functional, it processes untrusted geometric data strings which could serve as a vector for indirect prompt injection if the inputs are not properly sanitized by the underlying script.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
- Runlayerwarn
1/1 file flagged
What does this agent skill do?
Computational Geometry with Shapely
When to Use
- Creating geometric shapes (points, lines, polygons)
- Boolean operations (intersection, union, difference)
- Spatial predicates (contains, intersects, within)
- Measurements (area, length, distance, centroid)
- Geometry transformations (translate, rotate, scale)
- Validating and fixing invalid geometries
Quick Reference
| I want to... | Command | Example |
|---|---|---|
| Create geometry | create | create polygon --coords "0,0 1,0 1,1 0,1" |
| Intersection | op intersection | op intersection --g1 "POLYGON(...)" --g2 "POLYGON(...)" |
| Check contains | pred contains | pred contains --g1 "POLYGON(...)" --g2 "POINT(0.5 0.5)" |
| Calculate area | measure area | measure area --geom "POLYGON(...)" |
| Distance | distance | distance --g1 "POINT(0 0)" --g2 "POINT(3 4)" |
| Transform | transform translate | transform translate --geom "..." --params "1,2" |
| Validate | validate | validate --geom "POLYGON(...)" |
Commands
create
Create geometric objects from coordinates.
# Point
uv run python scripts/shapely_compute.py create point --coords "1,2"
# Line (2+ points)
uv run python scripts/shapely_compute.py create line --coords "0,0 1,1 2,0"
# Polygon (3+ points, auto-closes)
uv run python scripts/shapely_compute.py create polygon --coords "0,0 1,0 1,1 0,1"
# Polygon with hole
uv run python scripts/shapely_compute.py create polygon --coords "0,0 10,0 10,10 0,10" --holes "2,2 8,2 8,8 2,8"
# MultiPoint
uv run python scripts/shapely_compute.py create multipoint --coords "0,0 1,1 2,2"
# MultiLineString (pipe-separated lines)
uv run python scripts/shapely_compute.py create multilinestring --coords "0,0 1,1|2,2 3,3"
# MultiPolygon (pipe-separated polygons)
uv run python scripts/shapely_compute.py create multipolygon --coords "0,0 1,0 1,1 0,1|2,2 3,2 3,3 2,3"
op (operations)
Boolean geometry operations.
# Intersection of two polygons
uv run python scripts/shapely_compute.py op intersection \
--g1 "POLYGON((0 0,2 0,2 2,0 2,0 0))" \
--g2 "POLYGON((1 1,3 1,3 3,1 3,1 1))"
# Union
uv run python scripts/shapely_compute.py op union --g1 "POLYGON(...)" --g2 "POLYGON(...)"
# Difference (g1 - g2)
uv run python scripts/shapely_compute.py op difference --g1 "POLYGON(...)" --g2 "POLYGON(...)"
# Symmetric difference (XOR)
uv run python scripts/shapely_compute.py op symmetric_difference --g1 "..." --g2 "..."
# Buffer (expand/erode)
uv run python scripts/shapely_compute.py op buffer --g1 "POINT(0 0)" --g2 "1.5"
# Convex hull
uv run python scripts/shapely_compute.py op convex_hull --g1 "MULTIPOINT((0 0),(1 1),(0 2),(2 0))"
# Envelope (bounding box)
uv run python scripts/shapely_compute.py op envelope --g1 "POLYGON(...)"
# Simplify (reduce points)
uv run python scripts/shapely_compute.py op simplify --g1 "LINESTRING(...)" --g2 "0.5"
pred (predicates)
Spatial relationship tests (returns boolean).
# Does polygon contain point?
uv run python scripts/shapely_compute.py pred contains \
--g1 "POLYGON((0 0,2 0,2 2,0 2,0 0))" \
--g2 "POINT(1 1)"
# Do geometries intersect?
uv run python scripts/shapely_compute.py pred intersects --g1 "..." --g2 "..."
# Is g1 within g2?
uv run python scripts/shapely_compute.py pred within --g1 "POINT(1 1)" --g2 "POLYGON(...)"
# Do geometries touch (share boundary)?
uv run python scripts/shapely_compute.py pred touches --g1 "..." --g2 "..."
# Do geometries cross?
uv run python scripts/shapely_compute.py pred crosses --g1 "LINESTRING(...)" --g2 "LINESTRING(...)"
# Are geometries disjoint (no intersection)?
uv run python scripts/shapely_compute.py pred disjoint --g1 "..." --g2 "..."
# Do geometries overlap?
uv run python scripts/shapely_compute.py pred overlaps --g1 "..." --g2 "..."
# Are geometries equal?
uv run python scripts/shapely_compute.py pred equals --g1 "..." --g2 "..."
# Does g1 cover g2?
uv run python scripts/shapely_compute.py pred covers --g1 "..." --g2 "..."
# Is g1 covered by g2?
uv run python scripts/shapely_compute.py pred covered_by --g1 "..." --g2 "..."
measure
Geometric measurements.
# Area (polygons)
uv run python scripts/shapely_compute.py measure area --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))"
# Length (lines, polygon perimeter)
uv run python scripts/shapely_compute.py measure length --geom "LINESTRING(0 0,3 4)"
# Centroid
uv run python scripts/shapely_compute.py measure centroid --geom "POLYGON((0 0,2 0,2 2,0 2,0 0))"
# Bounds (minx, miny, maxx, maxy)
uv run python scripts/shapely_compute.py measure bounds --geom "POLYGON(...)"
# Exterior ring (polygon only)
uv run python scripts/shapely_compute.py measure exterior_ring --geom "POLYGON(...)"
# All measurements at once
uv run python scripts/shapely_compute.py measure all --geom "POLYGON((0 0,2 0,2 2,0 2,0 0))"
distance
Distance between geometries.
uv run python scripts/shapely_compute.py distance --g1 "POINT(0 0)" --g2 "POINT(3 4)"
# Returns: {"distance": 5.0, "g1_type": "Point", "g2_type": "Point"}
transform
Affine transformations.
# Translate (move)
uv run python scripts/shapely_compute.py transform translate \
--geom "POLYGON((0 0,1 0,1 1,0 1,0 0))" --params "5,10"
# params: dx,dy or dx,dy,dz
# Rotate (degrees, around centroid by default)
uv run python scripts/shapely_compute.py transform rotate \
--geom "POLYGON((0 0,1 0,1 1,0 1,0 0))" --params "45"
# params: angle or angle,origin_x,origin_y
# Scale (from centroid by default)
uv run python scripts/shapely_compute.py transform scale \
--geom "POLYGON((0 0,1 0,1 1,0 1,0 0))" --params "2,2"
# params: sx,sy or sx,sy,origin_x,origin_y
# Skew
uv run python scripts/shapely_compute.py transform skew \
--geom "POLYGON(...)" --params "15,0"
# params: xs,ys (degrees)
validate / makevalid
Check and fix geometry validity.
# Check if valid
uv run python scripts/shapely_compute.py validate --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))"
# Returns: {"is_valid": true, "type": "Polygon", ...}
# Fix invalid geometry (self-intersecting, etc.)
uv run python scripts/shapely_compute.py makevalid --geom "POLYGON((0 0,2 2,2 0,0 2,0 0))"
coords
Extract coordinates from geometry.
uv run python scripts/shapely_compute.py coords --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))"
# Returns: {"coords": [[0,0],[1,0],[1,1],[0,1],[0,0]], "type": "Polygon"}
fromwkt
Parse WKT and get geometry information.
uv run python scripts/shapely_compute.py fromwkt "POLYGON((0 0,1 0,1 1,0 1,0 0))"
# Returns: {"type": "Polygon", "bounds": [...], "area": 1.0, ...}
Geometry Types
point- Single coordinate (x, y) or (x, y, z)line/linestring- Sequence of connected pointspolygon- Closed shape with optional holesmultipoint,multilinestring,multipolygon- Collections
Input Formats
- Coordinates string:
"0,0 1,0 1,1 0,1"(space-separated x,y pairs) - WKT:
"POLYGON((0 0, 1 0, 1 1, 0 1, 0 0))"
Output Format
All commands return JSON with:
wkt: WKT representation of result geometrytype: Geometry type (Point, LineString, Polygon, etc.)bounds: (minx, miny, maxx, maxy)is_valid,is_empty: Validity flags- Measurement-specific fields (area, length, distance, etc.)
Common Use Cases
| Use Case | Command |
|---|---|
| Collision detection | pred intersects |
| Point-in-polygon | pred contains |
| Area calculation | measure area |
| Buffer zones | op buffer |
| Shape combination | op union |
| Shape subtraction | op difference |
| Bounding box | op envelope or measure bounds |
| Simplify path | op simplify |
Related Skills
/math-mode- Full math orchestration (SymPy, Z3)/math-plot- Visualization with matplotlib
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/parcadei/continuous-claude-v3/shapely-compute">View shapely-compute on skillZs</a>