Agent skill
paraview-interface-save-screenshots
Sub-skill of paraview-interface: Save Screenshots (+5).
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_archive/engineering/cfd/paraview/save-screenshots
SKILL.md
Save Screenshots (+5)
Save Screenshots
def save_screenshot(view, filepath, resolution=(1920, 1080), transparent=False):
"""Save render view as image."""
view.ViewSize = list(resolution)
SaveScreenshot(
filepath, view,
ImageResolution=list(resolution),
TransparentBackground=1 if transparent else 0,
)
print(f"Saved: {filepath}")
Save Animation
def save_animation(view, output_dir, prefix='frame', resolution=(1920, 1080)):
"""Save animation frames as image sequence."""
view.ViewSize = list(resolution)
SaveAnimation(
f'{output_dir}/{prefix}.png', view,
ImageResolution=list(resolution),
FrameWindow=[0, GetAnimationScene().NumberOfFrames - 1],
)
Extract Data to CSV
def extract_line_data(source, point1, point2, num_points=100, output_csv='line_data.csv'):
"""Extract data along a line (plot over line)."""
plot_line = PlotOverLine(registrationName='LineProbe', Input=source)
plot_line.Point1 = point1
plot_line.Point2 = point2
plot_line.Resolution = num_points
# Save to CSV
SaveData(output_csv, proxy=plot_line,
ChooseArraysToWrite=0,
Precision=8)
print(f"Line data saved: {output_csv}")
return plot_line
def extract_surface_integral(source, array_name, output_csv='surface_data.csv'):
"""Integrate variable over a surface."""
integrate = IntegrateVariables(registrationName='Integral', Input=source)
SaveData(output_csv, proxy=integrate)
return integrate
Parse CSV Output
import csv
def parse_paraview_csv(csv_path):
"""Parse ParaView CSV export."""
data = {}
with open(csv_path, 'r') as f:
reader = csv.DictReader(f)
for row in reader:
for key, value in row.items():
key = key.strip().strip('"')
if key not in data:
data[key] = []
try:
data[key].append(float(value))
except ValueError:
data[key].append(value)
return data
Common Filter Pipeline
def build_standard_cfd_pipeline(reader):
"""Build standard CFD visualization pipeline."""
results = {}
# Velocity magnitude slice
slice_filter = Slice(registrationName='ZSlice', Input=reader)
slice_filter.SliceType = 'Plane'
slice_filter.SliceType.Origin = [0, 0, 0]
slice_filter.SliceType.Normal = [0, 0, 1]
results['z_slice'] = slice_filter
# Streamlines
stream = StreamTracer(registrationName='Streams', Input=reader)
stream.SeedType = 'Line'
stream.SeedType.Point1 = [-1, -1, 0]
stream.SeedType.Point2 = [-1, 1, 0]
stream.SeedType.Resolution = 50
stream.MaximumStreamlineLength = 20.0
results['streamlines'] = stream
# Contour (iso-surface)
contour = Contour(registrationName='PressureIso', Input=reader)
contour.ContourBy = ['POINTS', 'p']
contour.Isosurfaces = [0.0]
results['pressure_contour'] = contour
# Calculator (derived quantity)
calc = Calculator(registrationName='VelMag', Input=reader)
calc.Function = 'mag(U)'
calc.ResultArrayName = 'VelocityMagnitude'
results['vel_magnitude'] = calc
return results
Filter Reference
| Filter | Purpose | Key Parameters |
|---|---|---|
Slice |
Cut plane through volume | SliceType, Origin, Normal |
Contour |
Iso-surface extraction | ContourBy, Isosurfaces |
StreamTracer |
Flow streamlines | SeedType, MaximumStreamlineLength |
Calculator |
Derived quantities | Function, ResultArrayName |
Clip |
Remove half of domain | ClipType, InsideOut |
Threshold |
Filter by value range | ThresholdRange, Scalars |
Glyph |
Vector arrows | GlyphType, ScaleFactor |
WarpByVector |
Deform mesh by vector | Vectors, ScaleFactor |
ExtractSurface |
Volume to surface | — |
CellDatatoPointData |
Interpolate cell→point | — |
IntegrateVariables |
Area/volume integrals | — |
PlotOverLine |
Line probe for XY plots | Point1, Point2, Resolution |
TemporalStatistics |
Time-averaged fields | ComputeAverage, ComputeMinimum |
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
gsd-complete-milestone
Archive completed milestone and prepare for next version
gsd-reapply-patches
Reapply local modifications after a GSD update
gsd-verify-work
Validate built features through conversational UAT
gsd-thread
Manage persistent context threads for cross-session work
clinical-trial-protocol
Generate clinical trial protocols for medical devices or drugs through a modular, waypoint-based architecture with research-only and full protocol modes.
single-cell-rna-qc
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations.
Didn't find tool you were looking for?