videogen

Orchestrate call processing pipelines from transcripts to rendered video content.

12|14|Updated Feb 25, 2021
One-click install
npx skills add https://github.com/ethereumclassic/community-calls --skill videogen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: videogen
Source: https://github.com/ethereumclassic/community-calls/tree/main/.claude/skills/videogen
Command: npx skills add https://github.com/ethereumclassic/community-calls --skill videogen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the full call pipeline from a transcript to a published call page and a rendered video, including cleaned transcript, chapters, AI summary, and video creation.

Core Features & Use Cases

  • Call Orchestration: Manages the complete call process, checking the status at each stage and proposing next steps.
  • Transcript Cleaning and Rendering: Automatically cleans transcripts, creates chapters, and generates AI summaries.
  • Video Rendering: Renders the call into a final video, ready for publication.
  • Use Case: Ideal for organizations processing large numbers of calls and needing to publish the content in a professional format quickly.

Quick Start

Use the videogen skill to generate a full call pipeline for a transcript with the ID '20260612_054'.

Frequently Asked Questions about videogen

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

FAQPage Schema
How do I automate call processing from a transcript to a published video?

Automate call processing by orchestrating a pipeline that cleans transcripts, generates AI summaries, creates chapters, and renders the final video. The pipeline checks status at each stage and proposes next steps before publication.

What is the best way to generate AI summaries from call transcripts?

Generate AI summaries by running the call processing pipeline, which automatically cleans raw transcripts and creates chapters before producing the summary. This prepares the content for final video rendering.

Does video rendering from call transcripts require manual confirmation?

Yes, video rendering requires manual confirmation. The pipeline automates transcript cleaning and summary generation but pauses for user confirmation before executing the final script to render the video.

Can I use automated transcript cleaning for large volumes of call content?

Yes, automated transcript cleaning is designed for organizations processing large numbers of calls. It cleans transcripts and generates chapters automatically, allowing you to publish professional call content quickly.

How do I start the call pipeline using a specific transcript ID?

Start the call pipeline by invoking the skill with your specific transcript ID, such as '20260612_054'. The pipeline then processes the transcript through cleaning, summary generation, and video rendering stages.

What are the limitations of automating call content publication?

The limitation is that full automation stops at video creation, which requires manual confirmation. Additionally, specific stages require script execution, meaning the pipeline needs active orchestration rather than running entirely hands-free.