diff --git a/litellm/skills/main.py b/litellm/skills/main.py
index a890d4eac88..885d2cb2d76 100644
--- a/litellm/skills/main.py
+++ b/litellm/skills/main.py
@@ -49,6 +49,7 @@ _NATIVE_SKILL_OPERATIONS: Final = MappingProxyType(
         "version_content": ("skills.versions.content.retrieve", ("skill_id", "version")),
     }
 )
+_NATIVE_ONLY_SKILL_OPERATIONS: Final = frozenset(_NATIVE_SKILL_OPERATIONS) - {"create", "list", "get", "delete"}
 
 # Initialize LiteLLM skills handler (lazy - only used when custom_llm_provider="litellm")
 _litellm_skills_handler = None
@@ -70,6 +71,11 @@ def _azure_skills_api_base(api_base: str | None) -> str | None:
     return str(url.copy_with(path=path[: -len(suffix)] if suffix else path, query=None)).rstrip("/")
 
 
+def _validate_skill_operation(operation: str, custom_llm_provider: str) -> None:
+    if operation in _NATIVE_ONLY_SKILL_OPERATIONS and custom_llm_provider not in _NATIVE_SKILL_PROVIDERS:
+        raise ValueError(f"{operation} skills operation is only supported for OpenAI and Azure OpenAI")
+
+
 def _native_skill_request(
     operation: str,
     request_data: dict[str, Any],  # mutable-ok: logging and SDK dispatch consume request data
@@ -274,6 +280,7 @@ def create_skill(
         # Determine provider
         if custom_llm_provider is None:
             custom_llm_provider = "anthropic"
+        _validate_skill_operation(kwargs.get("_skill_operation", "create"), custom_llm_provider)
 
         # Build create request
         create_request: Final[CreateSkillRequest] = {}
@@ -474,6 +481,7 @@ def list_skills(
         # Determine provider
         if custom_llm_provider is None:
             custom_llm_provider = "anthropic"
+        _validate_skill_operation(kwargs.get("_skill_operation", "list"), custom_llm_provider)
 
         # Route to LiteLLM DB if custom_llm_provider="litellm_proxy"
         if custom_llm_provider == LlmProviders.LITELLM_PROXY.value:
@@ -658,6 +666,7 @@ def get_skill(
         # Determine provider
         if custom_llm_provider is None:
             custom_llm_provider = "anthropic"
+        _validate_skill_operation(kwargs.get("_skill_operation", "get"), custom_llm_provider)
 
         # Route to LiteLLM DB if custom_llm_provider="litellm_proxy"
         if custom_llm_provider == LlmProviders.LITELLM_PROXY.value:
@@ -833,6 +842,7 @@ def delete_skill(
         # Determine provider
         if custom_llm_provider is None:
             custom_llm_provider = "anthropic"
+        _validate_skill_operation(kwargs.get("_skill_operation", "delete"), custom_llm_provider)
 
         # Route to LiteLLM DB if custom_llm_provider="litellm_proxy"
         if custom_llm_provider == LlmProviders.LITELLM_PROXY.value:
diff --git a/tests/test_litellm/skills/test_native_skills.py b/tests/test_litellm/skills/test_native_skills.py
index 6ea1635d2bd..61602822c3e 100644
--- a/tests/test_litellm/skills/test_native_skills.py
+++ b/tests/test_litellm/skills/test_native_skills.py
@@ -23,7 +23,11 @@ from litellm.proxy.anthropic_endpoints.skills_endpoints import (
 )
 from litellm.proxy.openai_files_endpoints.common_utils import extract_model_param
 from litellm.router import Router
-from litellm.skills.main import _azure_skills_api_base, _native_skill_request
+from litellm.skills.main import (
+    _azure_skills_api_base,
+    _native_skill_request,
+    _validate_skill_operation,
+)
 from litellm.types.router import GenericLiteLLMParams
 
 SKILL = {
@@ -448,6 +452,15 @@ def test_native_skill_request_rejects_uninitialized_openai_client() -> None:
             )
 
 
+@pytest.mark.parametrize(
+    "operation",
+    ["update", "content", "create_version", "list_versions", "version", "delete_version", "version_content"],
+)
+def test_native_only_skill_operations_reject_non_native_providers(operation: str) -> None:
+    with pytest.raises(ValueError, match="only supported for OpenAI and Azure OpenAI"):
+        _validate_skill_operation(operation, "anthropic")
+
+
 def test_extract_model_param_ignores_non_string_body_model() -> None:
     request = Request(
         {