# GCP Dataflow

> 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. - Creating a Google Dataflow Flex Template. - Using an existing Google Dataflow Template. - Debugging Dataflow pipeline - Troubleshooting Dataflow pipeline - Analyzing Performance of Dataflow pipeline. Key capabilities: Java/Python/Go project setup, Flex Templates (with Cloud Build), and diagnostics for streaming job health, bottlenecks, and autoscaling. Do NOT use for: - General GCP resource management unrelated to Dataflow. - Issues with other GCP services (e.g., GCE, GCS, BigQuery) unless directly impacting Dataflow pipeline execution. - Pipeline technologies other than Apache Beam on Dataflow.

## Facts
- Page: https://tashan.sh/capability/skill-gemini-cli-extensions-gcp-dataflow
- tashan id: skill:gemini-cli-extensions/gcp-dataflow
- Source: https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 96.0
- Freshness: 91.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: Apache-2.0
- Official: yes

## Install

```sh
cp -r gcp-dataflow ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-23 by tashan (https://tashan.sh) from public evidence. Scorer s5.