Explainer Video

Synced from the ChatCut Skill catalog · Updated September 2, 2026

Turn a topic, product idea, lesson, dataset, or technical concept into an explainer people can actually follow. The Skill brings together narration, motion graphics, footage, and generated visuals so the message stays clear and the video never feels flat.

What this Skill does

Create finished explainer videos from a topic, script, outline, voiceover, product logic, data, technical concept, course material, or reference assets. Use when the user wants narration, motion graphics, stock footage, generated visuals, or mixed visuals to explain an idea.

Use this Skill when

The user wants a topic, script, narration, product logic, data, or technical concept turned into a finished explainer video with narration and supporting visuals.

What the package contains

17 workflow steps

The ordered procedure the agent works through, from the material you hand it to the finished timeline.

13 operating rules

Constraints it holds to along the way, so the result stays predictable instead of drifting mid-edit.

10 quality checks

What it verifies before calling the work done — the pass you would otherwise run yourself.

5 defined inputs

The footage, references, and decisions this workflow expects from you up front.

How to run it

1. Start in the ChatCut project you want to work on.
2. Open the AI composer's Skills menu and find Explainer Video. Choose the workflow, then check the attached Skill in your prompt.
3. Add the footage or references for this job and explain your intended result. Send the request when those inputs are ready.

For selection and reuse, see the Skills guide.

Changelog

Updated September 2, 2026 — synced from the ChatCut Skill catalog. No revisions recorded before this one.