Vertical Chat Exchange — effect skill for AI agent flows
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 portrait chat plays out: the prompt types and sends, the answer streams and assembles a card or image.
- Type: Effect · AI agent flows
- Slug:
vertical-chat-exchange - Status: live
- Publisher: Jake Moran · HeyGen (community)
- License: Apache-2.0
- Source: https://github.com/heygen-com/hyperframes/tree/main/registry/blocks/chatgpt-exchange
- 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 ChatGPT Exchange by Jake Moran (hyperframes), Apache-2.0. The write-up and recipes below are varg's.
Phone-sized chat UI, bubbles pop with a tiny scale from the sender's corner, typing dots before replies.
When: Vertical cuts for TikTok, Reels and Shorts about AI features.
Watch out: Do not make bubbles readable only at full screen; use 1.5× normal type size for phones.
Timing: Bubble pop 0.12–0.2 s (scale 0.75→1), typing dots 0.6–1 s, gap 0.3 s between messages.
Also called: chat story, ChatGPT exchange, phone chat
In HyperFrames
npx hyperframes add chatgpt-exchange
Or message-thread-reveal / chat-thread for human conversations.
In Remotion
// npx shadcn@latest add @remocn/imessage-chat-flow
// or @remocn/chat-flow / @remocn/telegram-chat-flow
In CapCut
Text → Text templates → "chat"/"message"; one bubble per layer, Animation In "Pop up" 0.15 s.
Ready-made components
- ChatGPT Exchange (hyperframes): npx hyperframes add chatgpt-exchange
- Message Thread Reveal (hyperframes): npx hyperframes add message-thread-reveal
- UI iMessage Chat Flow (remocn): npx shadcn@latest add @remocn/imessage-chat-flow
Where this comes from
Use when
- Vertical cuts for TikTok, Reels and Shorts about AI features.
Not for
- Do not make bubbles readable only at full screen; use 1.5× normal type size for phones.
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/templates/promoted/254fe4bd8a3f00c1e70ac5e38a1bce25060f7590/chatgpt-exchange/preview.mp4 — Preview of the ChatGPT Exchange component that builds this take (credit: ChatGPT Exchange · hyperframes, https://hyperframes.heygen.com/catalog/blocks/chatgpt-exchange)
More AI agent flows skills
- Prompt Typed, Then Generate: A real task types into the prompt box, the Generate button is pressed, and the result starts to build.
- Answer Streams In: The assistant's reply arrives in uneven token bursts, the way a real model streams.
- Tool Calls as Status Rows: Each tool call appears as a row with an icon and label that goes spinner → check, building a visible plan.
- Nodes Wire Up on a Canvas: Nodes pop onto a canvas and connectors draw between them as the camera pulls back to show the whole pipeline.
- Beams Into the Agent Hub: Light pulses run along curved lines from tool icons into a central agent and back out to a result.
- Thinking… Shimmer Label: A muted "Thinking…" label with a moving shine shows the model working between prompt and answer.
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