feat: copy skills from antigravity to data_agent_common

skills/accidental-data-loss-prevention/SKILL.md

@@ -7,10 +7,8 @@ description: |
   - SQL: DROP TABLE/VIEW/SCHEMA/DATABASE, TRUNCATE, or broad DELETE (missing WHERE or using 1=1).
   - Cloud Storage: gsutil rm or gcloud storage rm targeting production data or critical buckets.
   - Infrastructure: gcloud projects delete, deleting Spanner/BigQuery/Dataproc resources, deleting secrets, or KMS key destruction.
-license: Apache-2.0
 metadata:
   version: v1
-  publisher: google
 ---
 
 # Accidental Data Loss Prevention

skills/bigquery-data-transfer-service/SKILL.md

@@ -1,14 +1,13 @@
 ---
 name: bigquery-data-transfer-service
-description: Discovers and inspects BigQuery Data Transfer Service (DTS) configurations.
-  Use this to identify existing ingestion pipelines and extract datasource or transfer
-  config metadata for data pipelines. Use when a user asks for ingestion scenarios
-  while building or managing data pipelines or when a user asks to "ingest" or "add"
-  data that may already be managed by a DTS transfer.
-license: Apache-2.0
+description: >-
+  Discovers and inspects BigQuery Data Transfer Service (DTS) configurations.
+  Use this to identify existing ingestion pipelines and extract datasource or
+  transfer config metadata for data pipelines. Use when a user asks for
+  ingestion scenarios while building or managing data pipelines or when a user asks to "ingest" or "add" data that may
+  already be managed by a DTS transfer.
 metadata:
   version: v1
-  publisher: google
 ---
 
 # BigQuery Data Transfer Service (DTS)
@@ -97,10 +96,10 @@ and validate them with the user.
 > If `<DATA_SOURCE_ID>` is unknown, run the discovery script without
 > `<DATA_SOURCE_ID>` argument to list available source IDs (e.g.,
 > `google_cloud_storage`). It uses the derived project and location from Step 0.
->
-> ```bash
-> python3 scripts/bigquery_dts.py --project_id=<PROJECT_ID>
-> ```
+
+```bash
+python3 scripts/bigquery_dts.py --project_id=<PROJECT_ID>
+```
 
 1.  **Run Discovery Script**: Use the `bigquery_dts.py` script to inspect Data
     Source parameters via the REST API.

skills/bigquery-data-transfer-service/scripts/bigquery_dts.py

@@ -1,17 +1,18 @@
-#!/usr/bin/env python3
 # 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
 #
-#     https://www.apache.org/licenses/LICENSE-2.0
+#     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.
+
+#!/usr/bin/env python3
 """BigQuery Data Transfer Service REST API - Data Source Parameter Discovery."""
 
 import argparse

skills/building-data-apps/SKILL.md

@@ -14,10 +14,8 @@ description: |
     1. The request is for building backend-only services.
     2. The request is for simple CLI scripts or command-line applications.
     3. The web application is not data-centric or does not involve visualizing/querying data from GCP sources.
-license: Apache-2.0
 metadata:
   version: v1
-  publisher: google
 ---
 
 # Building Data Applications

skills/building-data-apps/examples/express_chat.ts

@@ -4,13 +4,14 @@
 // you may not use this file except in compliance with the License.
 // You may obtain a copy of the License at
 //
-//     https://www.apache.org/licenses/LICENSE-2.0
+//     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.
+
 // express_chat.ts
 // requires: npm install express
 // cors @google-cloud/geminidataanalytics @google-cloud/bigquery dotenv

skills/building-data-apps/examples/fastapi_chat.py

@@ -4,13 +4,14 @@
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
 #
-#     https://www.apache.org/licenses/LICENSE-2.0
+#     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.
+
 import json
 import os
 from fastapi import FastAPI

skills/building-data-apps/examples/react_chat_panel.jsx

@@ -1,16 +1,3 @@
-// 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
-//
-//     https://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.
 import React, { useState, useRef, useEffect, Component } from 'react';
 import ReactMarkdown from 'react-markdown';
 import remarkGfm from 'remark-gfm';

skills/data-autocleaning/SKILL.md

@@ -1,13 +1,12 @@
 ---
 name: data-autocleaning
-description: Automated data quality and transformation capabilities for Dataform/dbt/BigQuery
-  pipelines. Processes data sourced from BigQuery or Cloud Storage (GCS), applying
-  best practices for data ingestion, movement, schema mapping, and comprehensive data
-  cleaning.
-license: Apache-2.0
+description:
+  Automated data quality and transformation capabilities for
+  Dataform/dbt/BigQuery pipelines. Processes data sourced from BigQuery
+  or Cloud Storage (GCS), applying best practices for data ingestion,
+  movement, schema mapping, and comprehensive data cleaning.
 metadata:
   version: v1
-  publisher: google
 ---
 
 # Data Autocleaning Skill

skills/data-autocleaning/scripts/dataplex_scanner.py

@@ -4,13 +4,14 @@
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
 #
-#     https://www.apache.org/licenses/LICENSE-2.0
+#     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.
+
 """A script to create and monitor Dataplex data profile scans.
 
 This script takes a list of BigQuery tables, initiates Dataplex data profile