Graphic Match Cut — effect skill for cuts & pacing
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.mdto its path. Before generating anything, show the person the options on the how-to page.
Cut between two shots that share a shape, colour or position on screen, so the eye slides from one to the other.
- Type: Effect · Cuts & pacing
- Slug:
graphic-match-cut - Status: live
- Publisher: HeyGen (community)
- License: Apache-2.0
- Source: https://github.com/heygen-com/hyperframes/tree/main/registry/components/match-cut
- 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 Match Cut by HeyGen (HyperFrames), Apache-2.0. The write-up and recipes below are varg's.
A round clock face becomes a round moon; a spinning wheel becomes a spinning record. The shape stays put, the world changes.
When: Time jumps, before/after, product reveals, and linking two ideas without words.
Watch out: If the shapes are not in the same place and size the match is lost; align them first.
Timing: Hard cut, or 2–6 frames of crossfade for a softer match
Also called: match cut, shape match, visual match, form cut
In FFmpeg
Align B to A (scale/position) and cut on the frame where the shapes coincide; a very short fade can soften it:
ffmpeg -i a.mp4 -i b.mp4 -filter_complex \
"[1:v]scale=iw*1.08:-2,crop=1920:1080:x=40:y=10[b2];\
[0:v]trim=0:3,setpts=PTS-STARTPTS[a2];[b2]trim=0:3,setpts=PTS-STARTPTS[b3];\
[a2][b3]concat=n=2:v=1:a=0[v]" -map "[v]" out.mp4
In HyperFrames
Ready primitives: npx hyperframes add match-cut (a circle that hard-swaps scenes and matches the incoming circle), text-match-cut, type-match-cut, morph-swap.
In Remotion
Wrap B in a transform that lines its subject up with A's, then cut with <Series>; for a soft match use fade() with linearTiming({durationInFrames: 4}).
In CapCut
Align the shapes with Basic → Position/Scale (use the overlay track at reduced opacity as a guide), then cut. CapCut also publishes AI camera transitions for match cuts.
Ready-made components
- Match Cut (hyperframes): npx hyperframes add match-cut
- Text Match Cut (hyperframes): npx hyperframes add text-match-cut
- Type Match Cut (hyperframes): npx hyperframes add type-match-cut
- Morph Swap (hyperframes): npx hyperframes add morph-swap
Where this comes from
Use when
- Time jumps, before/after, product reveals, and linking two ideas without words.
Not for
- If the shapes are not in the same place and size the match is lost; align them first.
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/0566c854af08/take-graphic-match-cut.mp4 — cut between two shots, with the timeline strip of the edit. Footage: Cosmos Laundromat (2015), (CC) Blender Foundation | gooseberry.blender.org, CC BY 4.0; Spring (2019), Andy Goralczyk / Blender Foundation (Blender Studio) | studio.blender.org, CC BY 4.0. (credit: Rendered by varg · Cosmos Laundromat (2015) + Spring (2019))
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