explainer-video-production

Produce explainer video packages with scripts, storyboards, and accessibility plans.

123|21|Updated Jul 11, 2026
One-click install
npx skills add https://github.com/calesthio/generative-media-skills --skill explainer-video-production
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: explainer-video-production
Source: https://github.com/calesthio/generative-media-skills/tree/main/skills/production/content-formats/explainer-video-production
Command: npx skills add https://github.com/calesthio/generative-media-skills --skill explainer-video-production

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns complex topics, products, processes, research, datasets, and policies into clear explainer videos that support measurable audience learning or decision-making while controlling factual, accessibility, rights, and production risks.

Core Features & Use Cases

  • Learning-First Planning: Defines the audience, prior knowledge, measurable objective, success evidence, constraints, and risk tier before scripting.
  • Evidence-Controlled Production: Builds claim matrices, decomposes concepts, structures narration, creates storyboards, translates scenes into provider-independent prompts, and separates generated media from deterministic charts, captions, UI, labels, and citations.
  • Accessible Delivery: Plans captions, transcripts, audio description, contrast, non-color encodings, safe motion, localization, platform variants, provenance, rights review, and final QA.
  • Use Case: Create a product onboarding explainer with verified interface captures, step-by-step narration, error recovery, caption and transcript support, localized variants, and a reviewable claim and disclosure log.

Quick Start

Use the explainer-video-production skill to create a production-ready explainer package for the supplied brief, including the audience objective, claim matrix, script, storyboard, generation prompts, accessibility plan, localization notes, rights and provenance review, delivery variants, and QA checklist.

Frequently Asked Questions about explainer-video-production

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create an explainer video from complex research data?

To create an explainer video from complex research data, you need a production package that decomposes concepts, structures narration, and builds a storyboard. This process turns datasets into factual, accessible videos with measurable learning objectives and provider-independent media prompts.

What is the best way to script an accessible explainer video?

The best way to script an accessible explainer video is to build a claim matrix for factual sourcing while planning captions, transcripts, and audio descriptions. This ensures your visual communication meets accessibility requirements and controls factual risks.

How do I storyboard a product onboarding video with verified UI captures?

Storyboarding a product onboarding video requires separating generated media from deterministic UI captures, labels, and citations. You translate scenes into provider-independent prompts and structure step-by-step narration with error recovery and verified interface captures.

Can I produce localized short-form social explainers for multiple platforms?

Yes, you can produce localized short-form social explainers by planning platform variants, localization notes, and pacing controls. The workflow generates delivery variants with provenance, rights review, and final QA to ensure compliant multi-platform distribution.

How do I verify factual claims when producing a public-service explainer video?

To verify factual claims in a public-service explainer video, you build a claim matrix that sources statements and separates them from generated media. This evidence-controlled production includes risk escalation and a reviewable disclosure log for precise facts.

What are the limitations of using automated media prompts for explainer video production?

Automated media prompts for explainer video production must be provider-independent and separated from deterministic charts, captions, and UI labels. You should not rely on them for precise facts or interface captures without a claim sourcing and rights review process.