Plan Checklist Ticks Off — 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.
The agent's plan appears as a checklist and each item ticks and dims as it is done.
- Type: Effect · AI agent flows
- Slug:
plan-checklist-ticks - Status: live
- Publisher: HeyGen (community)
- License: Apache-2.0
- Source: https://github.com/heygen-com/hyperframes/tree/main/registry/blocks/mk-specs-list
- 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 Specs Checklist by HeyGen (HyperFrames), Apache-2.0. The write-up and recipes below are varg's.
Left-aligned rows with empty circles; a check draws in each, the row text dims or strikes, the next row brightens.
When: Long tasks compressed into a few seconds; show progress and reliability.
Watch out: Do not tick everything at an even pace; vary 0.4–1.0 s to feel like real work.
Timing: Rows in 0.2 s with 0.08 s stagger; each tick 0.3 s path draw; final row → success pop.
Also called: todo list, agent plan, checklist
In HyperFrames
npx hyperframes add mk-specs-list
npx hyperframes add success-check
In Remotion
// npx shadcn@latest add @remocn/check-list
const done = (i)=> frame > ticks[i];
In CapCut
Text list with one row per layer; add ✓ stickers on each row at its time; reduce row Opacity to 50% after its tick.
Ready-made components
- Specs Checklist (hyperframes): npx hyperframes add mk-specs-list
- Check List (remocn): npx shadcn@latest add @remocn/check-list
- Success Check (hyperframes): npx hyperframes add success-check
Where this comes from
Use when
- Long tasks compressed into a few seconds; show progress and reliability.
Not for
- Do not tick everything at an even pace; vary 0.4–1.0 s to feel like real work.
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/7606a5655b40/take-plan-checklist-ticks.mp4 — The Specs Checklist component rendered as installed (npx hyperframes add mk-specs-list), defaults only (credit: Rendered by varg · HyperFrames Specs Checklist, https://hyperframes.heygen.com/catalog/blocks/mk-specs-list)
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