# Nodes Wire Up on a Canvas — effect skill for AI agent flows

> **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 `.md` to its path. Before generating anything, show the person the options on the how-to page.

Nodes pop onto a canvas and connectors draw between them as the camera pulls back to show the whole pipeline.

- **Type:** [Effect](https://varg.ai/how-to/effects.md) · [AI agent flows](https://varg.ai/how-to/browse/skills/agent-flows.md)
- **Slug:** `nodes-wire-up-canvas`
- **Status:** live
- **Publisher:** HeyGen (community)
- **License:** Apache-2.0
- **Source:** https://github.com/heygen-com/hyperframes/tree/main/registry/blocks/flowchart
- **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 [Flowchart](https://github.com/heygen-com/hyperframes/tree/main/registry/blocks/flowchart) by HeyGen (HyperFrames), Apache-2.0. The write-up and recipes below are varg's.

Rounded nodes with icons and labels; bezier connectors draw from output to input; a pulse travels the finished path.

**When:** Workflow builders, multi-step AI pipelines, automations.

**Watch out:** Do not show the whole graph first; build it in narration order, then reveal the full canvas.

**Timing:** Node pop 0.25 s, connector draw 0.4–0.6 s, pulse 0.8 s per edge; final pull-back 1 s.

**Also called:** node graph, workflow canvas, pipeline graph

### In HyperFrames

```bash
npx hyperframes add flowchart
```
Or `constellation-hub` for feature nodes brightening in narration order.

### In Remotion

```tsx
const len = path.getTotalLength();
const off = interpolate(frame,[edge.at,edge.at+15],[len,0],{extrapolateLeft:'clamp',extrapolateRight:'clamp'});
<path d={d} strokeDasharray={len} strokeDashoffset={off}/>
```

### In CapCut

Record the real canvas; zoom on each node as it is added, then a long ease-out zoom to 100% for the overview.

### Ready-made components

- [Flowchart](https://skills.varg.ai/component/hf.flowchart/) (hyperframes): npx hyperframes add flowchart
- [Constellation Hub](https://skills.varg.ai/component/hf.constellation-hub/) (hyperframes): npx hyperframes add constellation-hub
- [Hand-Drawn Flowchart](https://skills.varg.ai/component/hf.hw-pipeline/) (hyperframes): npx hyperframes add hw-pipeline

### Where this comes from

- [Bohdan Motion: breakdown of the ElevenLabs Flows launch video](https://x.com/bohdanmotion/status/2079974237893456071)

## Use when

- Workflow builders, multi-step AI pipelines, automations.

## Not for

- Do not show the whole graph first; build it in narration order, then reveal the full canvas.

## 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://static.heygen.ai/hyperframes-oss/docs/images/catalog/blocks/flowchart.mp4 — Preview of the Flowchart component that builds this take (credit: Flowchart · hyperframes, https://hyperframes.heygen.com/catalog/blocks/flowchart)

## More AI agent flows skills

- [Prompt Typed, Then Generate](https://varg.ai/how-to/skills/prompt-typed-then-generate.md): A real task types into the prompt box, the Generate button is pressed, and the result starts to build.
- [Answer Streams In](https://varg.ai/how-to/skills/answer-streams-in.md): The assistant's reply arrives in uneven token bursts, the way a real model streams.
- [Tool Calls as Status Rows](https://varg.ai/how-to/skills/tool-calls-status-rows.md): Each tool call appears as a row with an icon and label that goes spinner → check, building a visible plan.
- [Beams Into the Agent Hub](https://varg.ai/how-to/skills/beams-into-agent-hub.md): Light pulses run along curved lines from tool icons into a central agent and back out to a result.
- [Thinking… Shimmer Label](https://varg.ai/how-to/skills/thinking-shimmer-label.md): A muted "Thinking…" label with a moving shine shows the model working between prompt and answer.
- [Parallel Agents Side by Side](https://varg.ai/how-to/skills/parallel-agents-lanes.md): Several agent cards work at once in lanes or an orbit, each with its own status, then merge into one result.

## 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