terraform-plan-apply-automation vs nemotron-voice-agent-builder
terraform-plan-apply-automation and nemotron-voice-agent-builder are both cloud and devops skills. nemotron-voice-agent-builder scores higher (86 vs 21 out of 100). nemotron-voice-agent-builder has more GitHub stars (3.7k), and nemotron-voice-agent-builder was updated more recently (today). The table compares them side by side.
| terraform-plan-apply-automation | nemotron-voice-agent-builder | |
|---|---|---|
| Score | 21 / 100 | 86 / 100 |
| What it does | Runs terraform plan against changed modules, posts a structured diff as a PR comment via GitHub API, and gates terraform apply on reviewer approval. Supports S3 and GCS remote state backends with automatic workspace detection. Integrates with AWS STS and GCP Workload Identity for short-lived credential injection. | Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit. Use when building, scaffolding, or iterating on a real-time voice-agent pipeline, including speech (ASR/TTS) customization and cloud or local deployment. Not for offline/batch speech-to-text, text-only chat or RAG, or generic Docker or CUDA work unrelated to a voice agent. |
| Publisher | Community: aibot88 | Community: NVIDIA |
| Grades | Maintenance C, Licence F, Quality C | Maintenance A, Licence A, Quality A |
| npm downloads a week | Not on npm | Not on npm |
| Runs | Skill | Skill |
| Works with | Claude Code, Claude apps | Claude Code, Claude apps |
| GitHub stars | 5 | 3,703 |
| Last commit | 27 May 2026 | 23 Oct 2026 |
| Licence | None found | Apache-2.0 |
| Listed since | 20 Oct 2026 | 23 Oct 2026 |
| Install terraform-plan-apply-automation | Install nemotron-voice-agent-builder |
Questions
Is terraform-plan-apply-automation or nemotron-voice-agent-builder more popular?
nemotron-voice-agent-builder has more GitHub stars: 3,703.
Can I use terraform-plan-apply-automation and nemotron-voice-agent-builder together?
Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.