OpenMontage Clip Factory — workflow skill for AI editing agents

For AI agents: find the right skill in one call — curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>" returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add .md to its path. Before generating anything, show the person the options on the how-to page.

Extracts a batch of ranked short clips from one long source (webinar, stream, talk, interview) with gates for clip selec

What it does

Extracts a batch of ranked short clips from one long source (webinar, stream, talk, interview) with gates for clip selection, hook placement and batch consistency. One of OpenMontage's 12 production pipelines: a YAML manifest (pipeline_defs/clip-factory.yaml) plus per-stage director skills in skills/pipelines/clip-factory/ that the agent reads before it calls the repo's Python tools (ffmpeg, WhisperX, scene detection, face-tracked reframe, Remotion or HyperFrames rendering). It checkpoints state, stops for approval at creative gates and self-reviews the render with ffprobe, frame samples and audio levels. Open the OpenMontage folder in your agent and ask for this kind of edit; the agent routes to the pipeline.

Use when

Not for

Install

More AI editing agents skills

Run the generation on varg

varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.