GoogleCloudPlatform · copybara-service · Sep 23, 2026
diff --git a/.agents/hooks/telemetry_hook.js b/.agents/hooks/telemetry_hook.js
diff --git a/.claude-plugin/hooks.json b/.claude-plugin/hooks.json
@@ -1,5 +1,16 @@
 {
   "hooks": {
+    "SessionStart": [
+      {
+        "matcher": "startup|resume",
+        "hooks": [
+          {
+            "type": "command",
+            "command": "node ${CLAUDE_PLUGIN_ROOT}/skills/dak-setup/scripts/dak-setup.js sync"
+          }
+        ]
+      }
+    ],
     "PreToolUse": [
       {
         "matcher": "*",

diff --git a/.claude-mcp.json → .claude-plugin/mcp.json b/.claude-mcp.json → .claude-plugin/mcp.json
@@ -76,7 +76,7 @@
       "command": "node",
       "args": [
         "${CLAUDE_PLUGIN_ROOT}/mcp/bin/mcp_proxy_bundle.cjs",
-        "https://dataproc-${user_config.GCP_REGION}.googleapis.com/mcp"
+        "https://dataproc-$GCP_REGION.googleapis.com/mcp"
       ],
       "env": {
         "X_GOOG_PROXY_HEADERS": "{\"User-Agent\": \"datacloud.claude\"}"

diff --git a/.claude-plugin/plugin.json b/.claude-plugin/plugin.json
@@ -4,16 +4,9 @@
   "description": "This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.",
   "author": {
     "name": "Google LLC",
-    "email": "data-cloud-ai-integrations@google.com"
+    "email": "data-agent-kit@google.com"
   },
-  "mcpServers": "./.claude-mcp.json",
-  "hooks": "./.claude-plugin/hooks.json",
-  "userConfig": {
-    "GCP_REGION": {
-      "type": "string",
-      "title": "GCP Region",
-      "description": "Region for GCP services (e.g. us-west1)",
-      "required": true
-    }
-  }
+  "homepage": "https://cloud.google.com/products/data-agent-kit",
+  "mcpServers": "./.claude-plugin/mcp.json",
+  "hooks": "./.claude-plugin/hooks.json"
 }
diff --git a/.codex-plugin/plugin.json b/.codex-plugin/plugin.json
@@ -2,12 +2,11 @@
   "name": "dak",
   "version": "0.11.0",
   "description": "This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.",
-  "skills": "./skills/",
   "interface": {
     "displayName": "Data Agent Kit Starter Pack",
     "shortDescription": "Data Agent Kit Starter Pack",
-    "category": "Productivity"
+    "category": "Developer Tools",
+    "websiteURL": "https://cloud.google.com/products/data-agent-kit"
   },
-  "mcp": "./.mcp.json",
   "hooks": "./.codex-plugin/hooks.json"
 }
diff --git a/.lycheeignore b/.lycheeignore
@@ -4,6 +4,8 @@ https://raw.githubusercontent.com/gemini-cli-extensions/data-cloud-ai-dev-kit/ma
 https://docs.cloud.google.com/data-cloud-extension/vs-code/install
 https://docs.cloud.google.com/data-cloud-extension/vs-code/prompt-injection-risk
 https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack/compare/
+https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack
+https://github.com/GoogleCloudPlatform/data-agent-kit-plugin/compare/
 data-cloud-ai-dev-kit@data-cloud-ai-dev-kit-marketplace
 https://agent-plugins.org/compatible-clients
 https://docs.cloud.google.com/data-cloud-extension

diff --git a/.mcp.json b/.mcp.json
diff --git a/DEVELOPER.md b/DEVELOPER.md
@@ -22,8 +22,8 @@ The core logic for this extension is handled by a pre-built `toolbox` binary. Th
 1.  **Clone the Repository:**
 
     ```bash
-    git clone https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack.git
-    cd data-agent-kit-starter-pack
+    git clone https://github.com/GoogleCloudPlatform/data-agent-kit-plugin.git
+    cd data-agent-kit-plugin
     ```
 
 2.  **Download the Toolbox Binary:** The required version of the `toolbox` binary

diff --git a/README.md b/README.md
@@ -52,7 +52,7 @@ Choose the installation method for your preferred coding agent. Run the commands
 
 Install the plugin directly from GitHub:
 ```bash
-agy plugin install https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack
+agy plugin install https://github.com/GoogleCloudPlatform/data-agent-kit-plugin
 ```
 </details>
 
@@ -85,7 +85,7 @@ Codex utilizes a marketplace system for plugins. Install the Data Agent Kit Star
 
 ```bash
 # Step 1. Add marketplace
-codex plugin marketplace add https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack
+codex plugin marketplace add https://github.com/GoogleCloudPlatform/data-agent-kit-plugin
 
 # Step 2. Add the plugin
 codex plugin add dak@data-agent-kit-starter-pack-marketplace
@@ -119,7 +119,7 @@ Use the interactive options to install the plugin with the name `Data Agent Kit
 
 This repository is a valid [Agent Plugins](https://github.com/agentplugins/agent-plugins-spec) (v1) plugin. Any [compatible client](https://agent-plugins.org/compatible-clients) (VS Code, Cursor, GitHub Copilot, Codex, Kiro, …) can install it directly using its own built-in plugin command — skills and MCP servers included — by pointing at this repository:
 ```
-https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack
+https://github.com/GoogleCloudPlatform/data-agent-kit-plugin
 ```
 See your agent's documentation for its exact install command.
 </details>

diff --git a/codex-install.ps1 b/codex-install.ps1
@@ -24,7 +24,7 @@ if (-not $Tag -and $env:CODEX_TAG) {
 $ErrorActionPreference = "Stop"
 
 $pluginName = "data-agent-kit-starter-pack"
-$repoUrl = "https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack"
+$repoUrl = 'https://github.com/GoogleCloudPlatform/data-agent-kit-plugin'
 $pluginsRoot = Join-Path $HOME ".agents\plugins"
 $installDir = Join-Path $pluginsRoot $pluginName
 $marketplaceFile = Join-Path $pluginsRoot "marketplace.json"
@@ -94,7 +94,7 @@ if ($Tag) {
 Write-Host "Removing git metadata..."
 Remove-Item -LiteralPath (Join-Path $installDir ".git") -Recurse -Force
 
-$targetMcp = Join-Path $installDir ".mcp.json"
+$targetMcp = Join-Path $installDir "mcp.json"
 
 # Apply configuration
 Write-Host "Applying configuration..."

diff --git a/codex-install.sh b/codex-install.sh
@@ -18,7 +18,7 @@ set -e
 TAG=$1
 
 PLUGIN_NAME="data-agent-kit-starter-pack"
-REPO_URL="https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack"
+REPO_URL="https://github.com/GoogleCloudPlatform/data-agent-kit-plugin"
 INSTALL_DIR="$HOME/.agents/plugins/$PLUGIN_NAME"
 MARKETPLACE_FILE="$HOME/.agents/plugins/marketplace.json"
 
@@ -60,7 +60,7 @@ echo "Applying configuration..."
 node -e "
 const fs = require('fs');
 const path = require('path');
-const mcpFilePath = path.join(process.argv[1], '.mcp.json');
+const mcpFilePath = path.join(process.argv[1], 'mcp.json');
 let mcpContent = fs.readFileSync(mcpFilePath, 'utf8');
 mcpContent = mcpContent.replace(/\\\$PROJECT_ID/g, process.argv[2]);
 mcpContent = mcpContent.replace(/\\\$GCP_REGION/g, process.argv[3]);

diff --git a/gemini-extension.json b/gemini-extension.json
@@ -99,22 +99,5 @@
         "X_GOOG_PROXY_HEADERS": "{\"User-Agent\": \"datacloud.gemini-cli\"}"
       }
     }
-  },
-  "settings": [
-    {
-      "name": "GCP Project ID",
-      "description": "Project ID when using the MCP toolbox for databases",
-      "envVar": "PROJECT_ID"
-    },
-    {
-      "name": "GCP Region",
-      "description": "Region for GCP services (e.g. us-west1)",
-      "envVar": "GCP_REGION"
-    },
-    {
-      "name": "BigQuery Location",
-      "description": "Location for BigQuery datasets (e.g. US)",
-      "envVar": "BIGQUERY_LOCATION"
-    }
-  ]
+  }
 }
diff --git a/hooks.json b/hooks.json
@@ -0,0 +1,27 @@
+{
+  "hooks": {
+    "SessionStart": [
+      {
+        "matcher": "startup",
+        "hooks": [
+          {
+            "type": "command",
+            "command": "node \"skills/dak-setup/scripts/dak-setup.js\" sync"
+          }
+        ]
+      }
+    ],
+    "PreToolUse": [
+      {
+        "matcher": "*",
+        "hooks": [
+          {
+            "type": "command",
+            "command": "node \".agents/hooks/telemetry_hook.js\" --agent_name antigravity --install_source data-agent-kit-starter-pack ; exit 0",
+            "timeout": 30
+          }
+        ]
+      }
+    ]
+  }
+}
diff --git a/plugin.json b/plugin.json
@@ -5,9 +5,7 @@
   "description": "This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.",
   "author": {
     "name": "Google LLC",
-    "email": "data-cloud-ai-integrations@google.com"
+    "email": "data-agent-kit@google.com"
   },
-  "homepage": "https://docs.cloud.google.com/data-cloud-extension",
-  "repository": "https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack",
-  "license": "Apache-2.0"
+  "homepage": "https://cloud.google.com/products/data-agent-kit"
 }
diff --git a/skills/bigquery-bigframes/SKILL.md b/skills/bigquery-bigframes/SKILL.md
@@ -1,9 +1,9 @@
 ---
 name: bigquery-bigframes
 metadata:
-  version: v2
+  version: v3
 description: >-
-  Generates Python code using BigQuery DataFrames (BigFrames), the pandas/scikit-learn-style API over BigQuery. Use when writing BigFrames code or doing pandas-style dataframe/ML work against BigQuery (e.g. in a notebook). Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.
+  Generates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.
 
 ---