diff --git a/honeybee_radiance_postprocess/cli/well.py b/honeybee_radiance_postprocess/cli/well.py
index 74b8a1c8..0d7f97de 100644
--- a/honeybee_radiance_postprocess/cli/well.py
+++ b/honeybee_radiance_postprocess/cli/well.py
@@ -2,6 +2,12 @@
 import sys
 import logging
 import click
+import json
+import os
+
+from ladybug.color import Color
+from ladybug.datatype.generic import GenericType
+from ladybug.legend import LegendParameters
 
 from ..well.well import well_annual_daylight
 
@@ -45,6 +51,7 @@ def well_daylight(
     Args:
         folder: Results folder. This folder is an output folder of annual daylight
             recipe. The daylight simulation must include aperture groups.
+        daylight_hours: Daylight hours schedule for EN 17037.
     """
     with open(daylight_hours) as hourly_schedule:
         daylight_hours = [int(float(v)) for v in hourly_schedule]
@@ -58,3 +65,46 @@ def well_daylight(
         sys.exit(1)
     else:
         sys.exit(0)
+
+
+@well.command('well-daylight-vis-metadata')
+@click.option(
+    '--output-folder', '-o', help='Output folder for vis metadata files.',
+    type=click.Path(exists=False, file_okay=False, dir_okay=True, resolve_path=True),
+    default='visualization', show_default=True
+)
+def well_daylight_vis(output_folder):
+    """Write visualization metadata files for WELL Daylight."""
+    colors = [Color(220, 0, 0), Color(0, 220, 0)]
+    pass_fail_lpar = \
+        LegendParameters(min=0, max=1, colors=colors, segment_count=2, title='Pass/Fail')
+    pass_fail_lpar.ordinal_dictionary = {0: "Fail", 1: "Pass"}
+
+    metric_info_dict = {
+        'L01': {
+            'type': 'VisualizationMetaData',
+            'data_type': GenericType('sDA200,40%', '').to_dict(),
+            'unit': '',
+            'legend_parameters': pass_fail_lpar.to_dict()
+        },
+        'L06': {
+            'type': 'VisualizationMetaData',
+            'data_type': GenericType('sDA300,50%', '').to_dict(),
+            'unit': '',
+            'legend_parameters': pass_fail_lpar.to_dict()
+        }
+    }
+    try:
+        if not os.path.exists(output_folder):
+            os.mkdir(output_folder)
+        for metric, data in metric_info_dict.items():
+            if not os.path.exists(os.path.join(output_folder, metric)):
+                os.mkdir(os.path.join(output_folder, metric))
+            file_path = os.path.join(output_folder, metric, 'vis_metadata.json')
+            with open(file_path, 'w') as fp:
+                json.dump(data, fp, indent=4)
+    except Exception:
+        _logger.exception('Failed to write the visualization metadata files.')
+        sys.exit(1)
+    else:
+        sys.exit(0)