# Dense Specs Wall — effect skill for numbers & charts > **For AI agents:** find the right skill in one call — `curl -s "https://varg.ai/how-to/api/search?q="` 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. A grid of short spec tiles fills the frame in a fast stagger — numbers and two-word labels. - **Type:** [Effect](https://varg.ai/how-to/effects.md) · [Numbers & charts](https://varg.ai/how-to/browse/skills/numbers.md) - **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](https://github.com/heygen-com/hyperframes/tree/main/registry/components/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 ```bash npx hyperframes add grid-card-assemble npx hyperframes add stagger-lattice ``` `stagger:{each:0.03,from:"center",grid:"auto"}` ### In Remotion ```tsx 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 }) ``` ### 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](https://skills.varg.ai/component/hf.grid-card-assemble/) (hyperframes): npx hyperframes add grid-card-assemble - [Specs Checklist](https://skills.varg.ai/component/hf.mk-specs-list/) (hyperframes): npx hyperframes add mk-specs-list - [Stagger Lattice](https://skills.varg.ai/component/hf.stagger-lattice/) (hyperframes): npx hyperframes add stagger-lattice ### Where this comes from - [Bohdan Motion: Apple Mac Studio launch film, 10-step playbook](https://x.com/bohdanmotion/status/2093347071440851104) - [SaaSFrame: understanding the bento layout trend](https://www.saasframe.io/blog/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](https://varg.ai/how-to/skills/big-stat-count-up.md): One huge number counts from zero to its value and lands, with a short label under it. - [Odometer Digit Roll](https://varg.ai/how-to/skills/odometer-digit-roll.md): Each digit rolls on its own wheel to the target, places settling right to left like an odometer. - [Bars Grow with Value Labels](https://varg.ai/how-to/skills/bars-grow-with-labels.md): Bars rise from the baseline in a staggered cascade with values riding their tops. - [Line Draws with Riding Label](https://varg.ai/how-to/skills/line-draws-riding-label.md): 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](https://varg.ai/how-to/skills/ranked-bar-race.md): Ranked bars grow and overtake each other over time while the axis rescales and a year/date ticks. - [Progress Ring Fills](https://varg.ai/how-to/skills/progress-ring-fills.md): 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 -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