feat: Implement ListSkills and DeleteSkill methods in Vertex AI GenAI SDK

tests/unit/vertexai/genai/replays/test_skills_delete.py

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+"""Tests the skills.delete() method against the autopush endpoint."""
+
+from tests.unit.vertexai.genai.replays import pytest_helper
+from vertexai._genai import types
+from google.genai import errors
+import pytest
+
+pytestmark = pytest_helper.setup(
+    file=__file__,
+    globals_for_file=globals(),
+)
+
+
+def test_delete_skill(client, tmp_path):
+    # Target the autopush sandbox endpoint for the Skill Registry API
+    client._api_client._http_options.base_url = (
+        "https://us-central1-autopush-aiplatform.sandbox.googleapis.com"
+    )
+
+    # 1. Create a fresh unique skill first
+    with open(tmp_path / "SKILL.md", "w") as f:
+        f.write("# Test Skill\nTo be deleted.")
+
+    created_skill = client.skills.create(
+        display_name="To Be Deleted Skill",
+        description="Skill to be deleted",
+        config=types.CreateSkillConfig(
+            local_path=str(tmp_path), wait_for_completion=True
+        ),
+    )
+
+    assert created_skill.name is not None
+
+    # 2. Delete the skill and wait for LRO completion
+    client.skills.delete(
+        name=created_skill.name,
+        config=types.DeleteSkillConfig(wait_for_completion=True),
+    )
+
+    # 3. Verify the skill is successfully deleted (Getting it should raise NotFound)
+    with pytest.raises(errors.ClientError) as exc_info:
+        client.skills.get(name=created_skill.name)
+
+    assert exc_info.value.code == 404

tests/unit/vertexai/genai/replays/test_skills_list.py

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+"""Tests the skills.list() method against the autopush endpoint."""
+
+from tests.unit.vertexai.genai.replays import pytest_helper
+from vertexai._genai import types
+
+pytestmark = pytest_helper.setup(
+    file=__file__,
+    globals_for_file=globals(),
+)
+
+
+def test_list_skills(client):
+    # Target the autopush sandbox endpoint for the Skill Registry API
+    client._api_client._http_options.base_url = (
+        "https://us-central1-autopush-aiplatform.sandbox.googleapis.com"
+    )
+
+    skills = client.skills.list()
+    for skill in skills:
+        assert isinstance(skill, types.Skill)
+        assert skill.name is not None

tests/unit/vertexai/genai/replays/test_skills_update.py

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+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+"""Tests the skills.update() method against the Vertex AI endpoint using replays."""
+
+import io
+import os
+import zipfile
+
+from tests.unit.vertexai.genai.replays import pytest_helper
+from vertexai._genai import types
+
+# MANDATORY: Initialize the replay test framework for this module
+pytestmark = pytest_helper.setup(
+    file=__file__,
+    globals_for_file=globals(),
+)
+
+PROJECT_ID = os.environ.get("GOOGLE_CLOUD_PROJECT", "srbai-testing")
+REGION = "us-central1"
+
+
+def test_update_skill(client, tmp_path):
+    # Target the autopush sandbox endpoint for the Skill Registry API
+    client._api_client._http_options.base_url = (
+        "https://us-central1-autopush-aiplatform.sandbox.googleapis.com"
+    )
+
+    # 1. Create a fresh unique skill first
+    with open(tmp_path / "SKILL.md", "w") as f:
+        f.write("# Test Skill\nInitial content.")
+
+    created_skill = client.skills.create(
+        display_name="Original Skill",
+        description="Original Description",
+        config=types.CreateSkillConfig(
+            local_path=str(tmp_path), wait_for_completion=True
+        ),
+    )
+
+    # 2. Perform the metadata-only update on the new skill
+    updated_skill = client.skills.update(
+        name=created_skill.name,
+        config=types.UpdateSkillConfig(
+            display_name="My Updated Replay Skill",
+            description="My Updated Replay Skill Description",
+            wait_for_completion=True,
+        ),
+    )
+
+    assert updated_skill.name == created_skill.name
+    assert updated_skill.display_name == "My Updated Replay Skill"
+    assert updated_skill.description == "My Updated Replay Skill Description"
+
+
+def test_update_skill_with_zipped_bytes(client, tmp_path):
+    # Target the autopush sandbox endpoint for the Skill Registry API
+    client._api_client._http_options.base_url = (
+        "https://us-central1-autopush-aiplatform.sandbox.googleapis.com"
+    )
+
+    # 1. Create a fresh unique skill first
+    with open(tmp_path / "SKILL.md", "w") as f:
+        f.write("# Test Skill\nInitial content.")
+
+    created_skill = client.skills.create(
+        display_name="Original Skill",
+        description="Original Description",
+        config=types.CreateSkillConfig(
+            local_path=str(tmp_path), wait_for_completion=True
+        ),
+    )
+
+    # 2. Prepare zipped bytes for update
+    zip_buffer = io.BytesIO()
+    zinfo = zipfile.ZipInfo("SKILL.md", date_time=(1980, 1, 1, 0, 0, 0))
+    with zipfile.ZipFile(zip_buffer, "w") as zip_file:
+        zip_file.writestr(zinfo, "# My Updated Zipped Replay Skill\nThis is updated.")
+    zipped_bytes = zip_buffer.getvalue()
+
+    # 3. Update the skill with new zipped bytes
+    updated_skill = client.skills.update(
+        name=created_skill.name,
+        config=types.UpdateSkillConfig(
+            zipped_filesystem=zipped_bytes, wait_for_completion=True
+        ),
+    )
+
+    assert updated_skill.name == created_skill.name
+    assert (
+        updated_skill.display_name == "Original Skill"
+    )  # Display name remains unchanged