Shortcut Keycaps Overlay — effect skill for cursors & clicks
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.
Physical-looking keycaps rise at the bottom of the frame and press in the real order when a shortcut is used.
- Type: Effect · Cursors & clicks
- Slug:
shortcut-keycaps-overlay - Status: live
- Publisher: Kapish Dima · remocn (community)
- License: MIT
- Source: https://remocn.dev/r/keystroke.json
- Works in: Claude Code, Claude.ai, Codex, Cursor, OpenClaw, Gemini CLI, Any MCP client, varg Studio
- Requires: 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 Keystroke by Kapish Dima (remocn), MIT. The write-up and recipes below are varg's.
Rounded keycaps (⌘, ⇧, K) appear bottom-center, modifiers stay held while the letter taps, then the row fades.
When: Keyboard-driven tools and tutorials where the shortcut is the lesson.
Watch out: Do not show every keystroke while typing text; only shortcuts and modifier combos.
Timing: Keys rise 0.2 s with 40 ms stagger, press 0.08 s, hold 0.8–1.2 s, fade 0.2 s.
Also called: keystroke overlay, show shortcuts, keycaps
In HyperFrames
npx hyperframes add badge-pop
Build keycaps as <kbd> elements; tl.from(".kbd",{y:30,opacity:0,stagger:0.04,duration:0.2}) then press the letter with scale:0.92.
In Remotion
// npx shadcn@latest add @remocn/keystroke
<Keystroke keys={['⌘','K']} />
In CapCut
Text → Text templates → search "keyboard"/"key"; or record with KeyCastr/Screen Studio "Show shortcuts" on.
Ready-made components
- Keystroke (remocn): npx shadcn@latest add @remocn/keystroke
- Badge Pop (hyperframes): npx hyperframes add badge-pop
Where this comes from
- KeyCastr: open-source keystroke visualizer
- Screen Studio: auto zoom, cursor smoothing, click effects
Use when
- Keyboard-driven tools and tutorials where the shortcut is the lesson.
Not for
- Do not show every keystroke while typing text; only shortcuts and modifier combos.
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
More cursors & clicks skills
- Auto Zoom on Every Click: The camera eases in toward each upcoming click, trails the cursor on a spring, and eases out after.
- Oversized Look-Here Cursor: A macOS arrow at ~3–4× normal size glides in and lands its tip on what matters.
- Click Ripple and Button Press: Every click shows a quiet expanding ring while the clicked button presses in and responds.
- Named Agent Cursor: A cursor with an accent name tag ("Claude", "Agent") moves and clicks on its own, typing each step.
- Multiplayer Cursors Drift In: Several labeled cursors in different colors drift in from the edges and gather on the canvas.
- Drag a Card Across Columns: The cursor grabs a card, lifts and tilts it while carrying, and drops it into a new column with a settle.
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