explainer-video-editor

Coordinate end-to-end explainer video production with approval gates and manifest-based validation.

2|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/getspur/spur --skill explainer-video-editor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: explainer-video-editor
Source: https://github.com/getspur/spur/tree/main/assets/skills/explainer-video-editor
Command: npx skills add https://github.com/getspur/spur --skill explainer-video-editor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq, ffprobe, ffmpeg, shasum, awk, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This skill solves the fragmentation of video production by providing a structured, gate-based workflow that coordinates design, motion graphics, narration, and final assembly while ensuring factual accuracy and source traceability.

Core Features & Use Cases

  • Gate-Based Workflow: Enforces three distinct approval stages (Concept/Layout, Script/Storyboard, Paid Generation) to prevent costly rework and ensure alignment.
  • Explicit Ownership Model: Assigns clear responsibility for every asset and scene across specialized tools like Open Design, HTML Video, Higgsfield, and PalmierPro.
  • Traceability & Validation: Uses a mandatory manifest system to link every claim to a verified source, ensuring product proof is grounded in real captures.

Quick Start

Use the explainer-video-editor skill to initialize a new project brief and begin the concept and layout phase for your product launch video.

Frequently Asked Questions about explainer-video-editor

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

FAQPage Schema
How do I manage asset ownership and approval gates for explainer video production?

Explainer video production uses a gate-based workflow to manage asset ownership across specialized tools and enforce three approval stages: Concept/Layout, Script/Storyboard, and Paid Generation. This structured approach prevents costly rework and ensures alignment across all production phases.

What is manifest-based checksum verification for video delivery validation?

Manifest-based checksum verification is an automated delivery validation process that uses a mandatory manifest system to link every claim to a verified source. It ensures product proof is grounded in real captures and validates deterministic motion plate rendering for video output.

How do I ensure factual traceability in motion graphics and narrated concept films?

Factual traceability in motion graphics and narrated concept films is ensured by using a mandatory manifest system to link every claim to a verified source. This guarantees product proof is grounded in real captures and maintains accuracy throughout scene composition and video assembly.

Do I need ffmpeg and ffprobe to coordinate sourced explainer video assembly?

Yes, coordinating sourced explainer video assembly requires ffmpeg, ffprobe, jq, awk, and shasum as dependencies. These tools support deterministic motion plate rendering, manifest-based checksum verification, and automated delivery validation for final output.

What is the best way to structure scene composition for product marketing and demo-led launch videos?

The best way to structure scene composition for product marketing and demo-led launch videos is through an explicit ownership model that assigns clear responsibility for every asset and scene across specialized tools. This coordinates design, motion graphics, narration, and final assembly.