Cut on Action — effect skill for cuts & pacing
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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.mdto its path. Before generating anything, show the person the options on the how-to page.
Change angle while the subject moves. The movement hides the cut and keeps continuity.
- Type: Effect · Cuts & pacing
- Slug:
cut-on-action - Status: live
- Publisher: HeyGen (community)
- License: Apache-2.0
- Source: https://github.com/heygen-com/hyperframes/tree/main/registry/components/cut-the-curve
- Works in: Claude Code, Claude.ai, Codex, Cursor, OpenClaw, Gemini CLI, Any MCP client, varg Studio
- Requires: ffmpeg, HyperFrames (npx hyperframes), Remotion, CapCut (by hand)
- Cost: Free — the take renders locally; generated footage, if any, bills by the model
What it does
Built on Cut the Curve by HeyGen (HyperFrames), Apache-2.0. The write-up and recipes below are varg's.
Wide to close-up as a hand reaches, a person sits or a head turns; viewers watch the motion, not the edit.
When: Any coverage of the same action from two angles: interviews, cooking, product handling, sport.
Watch out: Cutting before the movement starts or after it ends loses the cover; cut in the first third of the motion.
Timing: Cut 2–4 frames after movement begins; overlap a frame or two of action
Also called: cutting on action, continuity cut, movement cut
In FFmpeg
Same as a hard cut: pick the out-frame on A and in-frame on B inside the motion (trim=end_frame= / trim=start_frame=).
In HyperFrames
Two <video> clips with data-media-start chosen so the move continues; data-start="a" keeps them butted.
In Remotion
Use <Series>; preview at full speed, the cut must be judged in motion.
In CapCut
Split both angles at the motion point; multi-camera clips can also be lined up on stacked tracks and cut between.
Ready-made components
- Cut the Curve (hyperframes): npx hyperframes add cut-the-curve
Where this comes from
- Wikipedia: cutting on action
- Walter Murch, In the Blink of an Eye (rule of six)
- FFmpeg filters: trim
Use when
- Any coverage of the same action from two angles: interviews, cooking, product handling, sport.
Not for
- Cutting before the movement starts or after it ends loses the cover; cut in the first third of the motion.
Install
- Claude Code:
claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg - Codex:
npx skills add vargHQ/skills --skill varg-video-edit-library -a codex -y - Cursor:
npx skills add vargHQ/skills --skill varg-video-edit-library -a cursor -y
Example output
https://s3.varg.ai/how-to/previews/43ae2bd422fc/take-cut-on-action.mp4 — cut between two shots, with the timeline strip of the edit. Footage: WING IT! (2023), Blender Studio | studio.blender.org, CC BY 4.0; WING IT! (2023), Blender Studio | studio.blender.org, CC BY 4.0. (credit: Rendered by varg · WING IT! (2023))
More cuts & pacing skills
- SmartCut (capcut-ai-editor): MCP that reads CapCut auto-captions to cut silences and duplicate takes right inside your CapCut project.
- Auto-Editor: CLI that cuts dead space by loudness or motion and exports MP4 or editor timelines; now also an agent skill.
- AutoCut: Edit video in a text editor: Whisper transcribes, you delete lines in Markdown, AutoCut cuts the video.
- Cut Video: Claude Code skill that tightens long recordings with forced-aligned cuts, keeping laughs and comedic pauses.
- Videogrep: Search spoken words across videos and auto-build supercuts of every match.
- PySceneDetect: Find cuts, fades and scene changes in a video, then split it or export scene lists for the edit.
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.
- Claude Code:
claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg(skill + hosted MCP) - Codex, Cursor, Gemini CLI, OpenClaw:
npx skills add vargHQ/skills --skill varg-ai -a <agent> -y - Grok and any agent that reads SKILL.md:
npx skills add vargHQ/skills --skill varg-ai, or point it at the skill's SKILL.md - Claude.ai, ChatGPT, any MCP client: connect
https://mcp.varg.ai/mcp - API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt