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gflow-cli

Skill Infrastructure Usable
Works inClaude Code
Usable Scanned — metadata only

Enables programmatic, batch-driven generation of Google's multimodal models via CLI and MCP.

Drive Google Flow from the command line: Veo video and Imagen images, scripted, batched and pipeline-ready. Ships an MCP server so coding agents can drive it too, giving you and your agents full programmatic control over generation. Unofficial, alpha, not affiliated with Google.

324 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Enables programmatic, batch-driven generation of Google's multimodal models via CLI and MCP. This closes the gap between manual prompting and automated, agentic media production workflows within existing CI/CD or agentic pipelines.

DevOps engineers and AI researchers building automated, agent-driven media generation pipelines using Google's Veo and Imagen models.

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https://github.com/ffroliva/gflow-cli

By ffroliva

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install ffroliva/gflow-cli

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me generate Veo videos and Imagen images directly from my terminal
CostFree

Trust Signals Auto-scanned

Stars324Last updated2026-10-23LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-23 · scanner v1

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 324 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.25 / 5.00 UsableEvaluatedOct 2026
Scored from trust signals (evidence-eval-v1): 324 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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