remotion-podcast

Name: remotion-podcast
Author: phamthanhnghia

github.com/phamthanhnghiaCreative & media355 installsUpdated 14w ago

About remotion-podcast

A Remotion workflow for turning podcast audio clips into audiogram videos with waveforms, speaker graphics, and captions. It is intended for creators preparing visual versions of podcast segments.

Key features

01Audio-frequency-driven SVG waveforms
02Highlighted active-speaker cards
03Animated subtitles

Use cases

01Make audiograms from podcast clips
02Create captioned videos with speaker graphics

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/phamthanhnghia/remotion-agent-skills --skill remotion-podcast

After installing, type/remotion-podcastin Claude Code to confirm it loaded.

Details

From the project README

Remotion Podcast Visualizer Workflow

Transform podcast audio snippets into visual audiogram videos with animated waveforms and speaker graphics.

Contract & Prerequisites

Input: Podcast audio file (.mp3/.wav), speaker photos/names, episode title, and transcript.
Output: Remotion composition featuring dynamic audio waveforms, speaker badges, and animated captions.
Triggers: "podcast audiogram", "make a video for podcast clip", "audio waveform video".

Architecture

Extract audio data using @remotion/media-utils.
Render dynamic SVG waveform bars driven by audio frequencies.
Integrate active speaker highlighted cards and animated subtitles.

Comments

Markdown supported

Details

Author: phamthanhnghia
Repository: phamthanhnghia/remotion-agent-skills
Category: Creative & media
Installs: 55
GitHub stars: 3

Report

More skills

All skills

ai-video-generation

github.com/inference-sh

1.7M

Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative, seedance, happyhorse

ai-image-generation

github.com/inference-sh

1.7M

Generate AI images with GPT-Image-2.5, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2.5 Flare, GPT-Image-2.5 Sunburst, GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image

ai-avatar-video

github.com/inference-sh

1.7M

Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars, NPC dialogue. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human, ugc, ugc video, ugc ad, avatar ugc

remotion-render

github.com/inference-sh

1.6M

Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable resolution, FPS, duration, codec. Use for: programmatic video generation, animated graphics, motion design, data-driven videos, React animations to video. Triggers: remotion, render video from code, tsx to video, react video, programmatic video, remotion render, code to video, animated video, motion graphics code, react animation video