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chore(main): release 0.1.5 (#15)
Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>
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.claude-plugin/plugin.json

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{
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"name": "data-cloud-ai-dev-kit",
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"version": "0.1.4",
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"version": "0.1.5",
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"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."
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}

.codex-plugin/plugin.json

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{
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"name": "data-cloud-ai-dev-kit",
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"version": "0.1.4",
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"version": "0.1.5",
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"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.",
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"skills": "./skills/",
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"interface": {

.release-please-manifest.json

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{
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".": "0.1.4"
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".": "0.1.5"
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}

CHANGELOG.md

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# Changelog
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## [0.1.5](https://github.com/gemini-cli-extensions/data-cloud-ai-dev-kit/compare/0.1.4...0.1.5) (2026-04-08)
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### Bug Fixes
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* use v4 tag for setup-node in workflow ([#14](https://github.com/gemini-cli-extensions/data-cloud-ai-dev-kit/issues/14)) ([2d72fff](https://github.com/gemini-cli-extensions/data-cloud-ai-dev-kit/commit/2d72fffed3a7f8c14cf2450d03f7895d1de4ab2d))
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## [0.1.4](https://github.com/gemini-cli-extensions/data-cloud-ai-dev-kit/compare/0.1.3...0.1.4) (2026-04-08)
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gemini-extension.json

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{
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"name": "data-cloud-ai-dev-kit",
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"version": "0.1.4",
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"version": "0.1.5",
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"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."
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}

notebook_mcp/package.json

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{
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"name": "@google/standalone-notebook-mcp",
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"version": "0.1.4",
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"version": "0.1.5",
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"description": "Standalone MCP server for notebook manipulation",
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"main": "server.ts",
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"scripts": {

package.json

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{
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"name": "data-cloud-ai-dev-kit",
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"version": "0.1.4",
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"version": "0.1.5",
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"description": "Developer toolkit for Data Cloud and AI integrations",
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"bin": {
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"notebook-tools": "notebook_mcp/dist/index.js"

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