Guides writing, packaging, executing, and troubleshooting Apache Beam pipelines on Dataflow. Use when creating new pipelines, configuring Flex Templates, or analyzing performance of Dataflow jobs. Capabilities include Java/Python/Go setup, Cloud Build integration, and deep diagnostic analysis of job health and autoscaling. Use when: - Creating an Apache Beam Dataflow pipeline.
Install
npx skills add GoogleCloudPlatform/data-agent-kit-plugin --skill gcp-dataflownpx skills add GoogleCloudPlatform/data-agent-kit-plugin --skill gcp-dataflow -a claude-code -gnpx skills add GoogleCloudPlatform/data-agent-kit-plugin --skill gcp-dataflow -a codex -ggemini skills install https://github.com/GoogleCloudPlatform/data-agent-kit-plugin.git --path skills/gcp-dataflowgh skill install GoogleCloudPlatform/data-agent-kit-plugin gcp-dataflowgit clone --depth 1 https://github.com/GoogleCloudPlatform/data-agent-kit-plugin /tmp/GoogleCloudPlatform__data-agent-kit-plugin
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/GoogleCloudPlatform__data-agent-kit-plugin/skills/gcp-dataflow ~/.claude/skills/gcp-dataflow # Claude Code
cp -R /tmp/GoogleCloudPlatform__data-agent-kit-plugin/skills/gcp-dataflow ~/.agents/skills/gcp-dataflow # Codex, Cursor, Gemini CLI, Copilot, OpenCode