Convert audio sources into long-form faceless explainer videos with chapters and overlays.
npx skills add https://github.com/alecs5am/ralphy --skill audio-explainer
Please help me install this Agent Skill. Skill: audio-explainer Source: https://github.com/alecs5am/ralphy/tree/main/.agents/skills/audio-explainer Command: npx skills add https://github.com/alecs5am/ralphy --skill audio-explainer
Turns audio sources (files or URLs) into polished long-form faceless explainer videos by coordinating an end-to-end AI-assisted production workflow.
Drop an audio source (file or URL) and a one-line topic gloss to generate a rendered long-form faceless explainer video.
High-intent search queries and answers about installing and using this skill.
To turn audio into a faceless explainer video, this Skill orchestrates an end-to-end pipeline that ingests audio files or URLs, applies transcription and silence removal, generates visual overlays, and renders a polished, chaptered video narrative.
Yes, you can generate video overlays from a podcast automatically. The pipeline applies word-level transcription, audio analysis, and claim segmentation to plan deterministic overlay types and assemble HTML/GSAP timelines for the final render.
The explainer video workflow supports audio ingestion from both local files and URLs. You simply drop the audio source along with a one-line topic gloss to initiate the structured, chaptered video narrative production process.
The best way to automate long-form video production from lectures is using an orchestration pipeline that handles silence removal, claim segmentation, asset generation, and deterministic rendering to produce a polished faceless explainer with consistent visual language.
Yes, you need playwright to render faceless explainer videos. It is a required dependency for executing the end-to-end automation workflow that generates assets, assembles timelines, and produces the final video output under the .ralphy workspace.
The audio-to-video pipeline stores outputs in the .ralphy workspace to enable iteration and reproducibility. It also generates an editor-friendly artifact log alongside the assembled HTML/GSAP timelines to support deterministic renders.
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