diff --git a/predicators/spot_utils/sample_and_move.py b/predicators/spot_utils/sample_and_move.py
index ca9a4ab334..7b12433425 100644
--- a/predicators/spot_utils/sample_and_move.py
+++ b/predicators/spot_utils/sample_and_move.py
@@ -119,37 +119,62 @@ def reward_function(input_traj: List[Tuple[float, float]]) -> float:
 
 # relative arm move example.
 target_pos = math_helpers.Vec3(0.8, 0.0, 0.25)
-downward_angle = np.pi / 2.5
-rot = math_helpers.Quat.from_pitch(downward_angle)
-body_tform_goal = math_helpers.SE3Pose(x=target_pos.x,
-                                        y=target_pos.y,
-                                        z=target_pos.z,
-                                        rot=rot)
-move_hand_to_relative_pose(robot, body_tform_goal)
-time.sleep(0.5)
-
-# grasping example.
-rgbds = capture_images(robot, localizer, TEST_CAMERAS)
-language_ids: List[ObjectDetectionID] = [
-    LanguageObjectDetectionID(d) for d in TEST_LANGUAGE_DESCRIPTIONS
-]
-hand_camera = "hand_color_image"
-detections, artifacts = detect_objects(language_ids, rgbds)
-
-detections_outfile = Path(".") / "object_detection_artifacts.png"
-no_detections_outfile = Path(".") / "no_detection_artifacts.png"
-visualize_all_artifacts(artifacts, detections_outfile,
-                        no_detections_outfile)
-
-# Automatically get grasp pixel via vision
-# pixel, _ = get_grasp_pixel(rgbds, artifacts, language_ids[-1],
-#                                        hand_camera, rng)
-# Get grasp pixel via user query.
-pixel = get_pixel_from_user(rgbds[hand_camera].rgb)
-grasp_at_pixel(robot, rgbds[hand_camera], pixel)
-stow_arm(robot)
+# downward_angle = np.pi / 2.5
+# rot = math_helpers.Quat.from_pitch(downward_angle)
+# body_tform_goal = math_helpers.SE3Pose(x=target_pos.x,
+#                                         y=target_pos.y,
+#                                         z=target_pos.z,
+#                                         rot=rot)
+# move_hand_to_relative_pose(robot, body_tform_goal)
+# time.sleep(0.5)
+
+# # grasping example.
+# rgbds = capture_images(robot, localizer, TEST_CAMERAS)
+# language_ids: List[ObjectDetectionID] = [
+#     LanguageObjectDetectionID(d) for d in TEST_LANGUAGE_DESCRIPTIONS
+# ]
+# hand_camera = "hand_color_image"
+# detections, artifacts = detect_objects(language_ids, rgbds)
+
+# detections_outfile = Path(".") / "object_detection_artifacts.png"
+# no_detections_outfile = Path(".") / "no_detection_artifacts.png"
+# visualize_all_artifacts(artifacts, detections_outfile,
+#                         no_detections_outfile)
+
+# # Automatically get grasp pixel via vision
+# # pixel, _ = get_grasp_pixel(rgbds, artifacts, language_ids[-1],
+# #                                        hand_camera, rng)
+# # Get grasp pixel via user query.
+# pixel = get_pixel_from_user(rgbds[hand_camera].rgb)
+# grasp_at_pixel(robot, rgbds[hand_camera], pixel)
+# stow_arm(robot)
 
 # move to waypoint navigate_to_absolute_pose(robot, localizer, se2_pose(x, y, theta)) x, y relative to map (theta is dir of robot)
 # move_hand_to_relative_pose(robot, se3_pose(x, y, z, quaternion)) # x is forward from robot, y is right from robot, and z is up from robot
 # get_grasp_pixel(robot, ) -> returns pixel to grasp 
-# grasp_at_pixel(robot, rgbds[hand_camera], pixel) -> grasps at pixel
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+# grasp_at_pixel(robot, rgbds[hand_camera], pixel) -> grasps at pixel
+
+
+
+
+# Pouring skill.
+def pour_at_relative_pose(robot: Robot, rel_pos: math_helpers.Vec3) -> None:
+    """Assuming the robot is holding something, execute a pour."""
+    # First move the hand to the target pose.
+    init_rot = math_helpers.Quat.from_pitch(np.pi/2)
+    init_pose = math_helpers.SE3Pose(x=rel_pos.x,
+                                           y=rel_pos.y,
+                                           z=rel_pos.z,
+                                           rot=init_rot)
+    move_hand_to_relative_pose(robot, init_pose)
+    time.sleep(0.5)
+    pouring_rot = init_rot * math_helpers.Quat.from_yaw(np.pi / 4.0)
+    pouring_pose = math_helpers.SE3Pose(x=rel_pos.x,
+                                           y=rel_pos.y,
+                                           z=rel_pos.z,
+                                           rot=pouring_rot)
+    move_hand_to_relative_pose(robot, pouring_pose)
+    time.sleep(0.5)
+    move_hand_to_relative_pose(robot, init_pose)
+
+pour_at_relative_pose(robot, target_pos)
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