Dense Specs Wall — effect skill for numbers & charts
For AI agents: find the right skill in one call —
curl -s "https://skills.varg.ai/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://skills.varg.ai/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.
A grid of short spec tiles fills the frame in a fast stagger — numbers and two-word labels.
- Type: Effect · Numbers & charts
- Slug:
dense-specs-wall - Status: live
- Publisher: HeyGen (community)
- License: Apache-2.0
- Source: https://github.com/heygen-com/hyperframes/tree/main/registry/components/grid-card-assemble
- 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 Grid Card Assemble by HeyGen (HyperFrames), Apache-2.0. The write-up and recipes below are varg's.
Tight grid of tiles ("4K · 60fps", "20 GB", "9:16") assembling in a wave, then the camera holds for one beat.
When: Near the end of a film, to signal depth after the story has been told.
Watch out: Do not expect each tile to be read; this is a texture of capability, keep it under 2 s and don't narrate every tile.
Timing: Whole wall 1–1.5 s, tile stagger 20–40 ms from center; hold 1–2 s.
Also called: specs grid, feature wall, capability grid
In HyperFrames
npx hyperframes add grid-card-assemble
npx hyperframes add stagger-lattice
stagger:{each:0.03,from:"center",grid:"auto"}
In Remotion
tiles.map((t,i)=>{const d=Math.hypot(t.col-cx,t.row-cy); const s=spring({frame:frame-d*2,fps,config:{damping:200}}); return <Tile style={{opacity:s, transform:`scale(${0.9+s*0.1})`}}/>})
In CapCut
Build the wall as one image; reveal with a Mask → Circle expanding from the center over 1 s.
Ready-made components
- Grid Card Assemble (hyperframes): npx hyperframes add grid-card-assemble
- Specs Checklist (hyperframes): npx hyperframes add mk-specs-list
- Stagger Lattice (hyperframes): npx hyperframes add stagger-lattice
Where this comes from
- Bohdan Motion: Apple Mac Studio launch film, 10-step playbook
- SaaSFrame: understanding the bento layout trend
Use when
- Near the end of a film, to signal depth after the story has been told.
Not for
- Do not expect each tile to be read; this is a texture of capability, keep it under 2 s and don't narrate every tile.
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/7d51ef545082/take-dense-specs-wall.mp4 — The Grid Card Assemble component rendered as installed (npx hyperframes add grid-card-assemble), defaults only (credit: Rendered by varg · HyperFrames Grid Card Assemble, https://hyperframes.heygen.com/catalog/components/grid-card-assemble)
More numbers & charts skills
- Big Stat Count-Up: One huge number counts from zero to its value and lands, with a short label under it.
- Odometer Digit Roll: Each digit rolls on its own wheel to the target, places settling right to left like an odometer.
- Bars Grow with Value Labels: Bars rise from the baseline in a staggered cascade with values riding their tops.
- Line Draws with Riding Label: A line draws itself left to right while the current value rides the pen tip, ending on a dot and big label.
- Ranked Bar Race: Ranked bars grow and overtake each other over time while the axis rescales and a year/date ticks.
- Progress Ring Fills: A thin ring draws on to a percentage while the number in its center counts up in sync.
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