diff --git a/src/instructlab/sdg/generate_data.py b/src/instructlab/sdg/generate_data.py
index 3f023a12..2c812361 100644
--- a/src/instructlab/sdg/generate_data.py
+++ b/src/instructlab/sdg/generate_data.py
@@ -25,7 +25,9 @@
     SimpleFreeformSkillFlow,
     SimpleGroundedSkillFlow,
     SimpleKnowledgeFlow,
+    SynthGroundedSkillsFlow,
     SynthKnowledgeFlow,
+    SynthSkillsFlow,
 )
 from instructlab.sdg.pipeline import Pipeline
 from instructlab.sdg.utils import chunking, models
@@ -122,19 +124,21 @@ def _gen_test_data(
             outfile.write("\n")
 
 
-def _sdg_init(profile, client, model_family, model_name, num_iters, batched):
+def _sdg_init(pipeline, client, model_family, model_name, num_iters, batched):
     knowledge_flow_types = []
     freeform_skill_flow_types = []
     grounded_skill_flow_types = []
-    if profile == "full":
+    if pipeline == "full":
         knowledge_flow_types.append(MMLUBenchFlow)
         knowledge_flow_types.append(SynthKnowledgeFlow)
-    elif profile == "simple":
+        freeform_skill_flow_types.append(SynthSkillsFlow)
+        grounded_skill_flow_types.append(SynthGroundedSkillsFlow)
+    elif pipeline == "simple":
         knowledge_flow_types.append(SimpleKnowledgeFlow)
         freeform_skill_flow_types.append(SimpleFreeformSkillFlow)
         grounded_skill_flow_types.append(SimpleGroundedSkillFlow)
     else:
-        raise utils.GenerateException(f"Error: profile ({profile}) is not supported.")
+        raise utils.GenerateException(f"Error: pipeline ({pipeline}) is not supported.")
 
     sdg_knowledge = SDG(
         [
@@ -204,8 +208,8 @@ def generate_data(
     tls_client_cert: Optional[str] = None,
     tls_client_key: Optional[str] = None,
     tls_client_passwd: Optional[str] = None,
-    # TODO need to update the CLI to specify which profile to use (simple or full at the moment)
-    profile: Optional[str] = "simple",
+    # TODO need to update the CLI to specify which pipeline to use (simple or full at the moment)
+    pipeline: Optional[str] = "simple",
 ):
     generate_start = time.time()
 
@@ -251,7 +255,12 @@ def generate_data(
     batched = False
 
     sdg_knowledge, sdg_freeform_skill, sdg_grounded_skill = _sdg_init(
-        profile, client, model_family, model_name, num_instructions_to_generate, batched
+        pipeline,
+        client,
+        model_family,
+        model_name,
+        num_instructions_to_generate,
+        batched,
     )
 
     if console_output: