diff --git a/acto/cli/init.py b/acto/cli/init.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/acto/cli/schema_match.py b/acto/cli/schema_match.py
index dab78b34af..12c3ba11dd 100644
--- a/acto/cli/schema_match.py
+++ b/acto/cli/schema_match.py
@@ -86,5 +86,91 @@ def main():
         print("Annotated CRD file dumped to", args.output)
 
 
+if __name__ == "__main__":
+    main()
+import argparse
+import sys
+
+import pandas as pd
+from ruamel.yaml import YAML
+
+from acto.input.k8s_schemas import K8sSchemaMatcher
+from acto.schema.schema import extract_schema
+
+
+def main():
+    """Main function"""
+
+    parser = argparse.ArgumentParser(
+        description="Given a CRD file, annotated it with the matched Kubernetes schema information."
+    )
+    parser.add_argument(
+        "--crd",
+        required=True,
+        help="Path to the YAML CRD file",
+    )
+    parser.add_argument(
+        "--k8s-version",
+        required=False,
+        default="1.29",
+        help="Kubernetes version to match the schema with",
+    )
+    parser.add_argument(
+        "--output",
+        required=False,
+        help="Path to dump the annotated YAML file to",
+    )
+    args = parser.parse_args()
+
+    # read the CRD file
+    yaml = YAML()
+    with open(args.crd, "r", encoding="utf-8") as f:
+        crd = yaml.load(f)
+
+    # extract the schema
+    schema_yaml = crd["spec"]["versions"][-1]["schema"]["openAPIV3Schema"]
+    root = extract_schema([], schema_yaml)
+
+    # match the schema with Kubernetes resource schemas
+    schema_matcher = K8sSchemaMatcher.from_version(args.k8s_version)
+    matches = schema_matcher.find_matched_schemas(root)
+
+    # output the breakdown of the matched schema information
+    df = pd.DataFrame(
+        [
+            {
+                "k8s_schema_name": k8s_schema.k8s_schema_name,
+                "schema_path": "/".join(schema.path),
+            }
+            for schema, k8s_schema in matches
+        ]
+    )
+
+    print(df["k8s_schema_name"].value_counts().to_string())
+    print(f"{len(matches)} schemas matched in total")
+
+    # annotate the yaml file with the matched schema information
+    for schema, k8s_schema in matches:
+        comment = k8s_schema.k8s_schema_name
+        curr = schema_yaml
+        for segment in schema.path[:-1]:
+            if segment == "ITEM":
+                curr = curr["items"]
+            else:
+                curr = curr["properties"][segment]
+        if schema.path[-1] != "ITEM":
+            curr["properties"].yaml_add_eol_comment(comment, schema.path[-1])
+        else:
+            curr.yaml_add_eol_comment(comment, "items")
+
+    # output the annotated yaml file
+    if args.output is None:
+        yaml.dump(crd, sys.stdout)
+    else:
+        with open(args.output, "w", encoding="utf-8") as f:
+            yaml.dump(crd, f)
+        print("Annotated CRD file dumped to", args.output)
+
+
 if __name__ == "__main__":
     main()