Video Podcast Maker

中文文档

Automated pipeline to create professional video podcasts from a topic. Supports Bilibili, YouTube, Xiaohongshu, Douyin, and WeChat Channels with multi-language output (zh-CN, en-US). Combines research, script generation, multi-engine TTS (Edge/Azure/Doubao/CosyVoice), Remotion video rendering, and FFmpeg audio mixing.

Works with: Claude Code · OpenClaw (ClawHub) · OpenCode · Codex — any coding agent that supports SKILL.md

Publish to: Bilibili · YouTube · Xiaohongshu · Douyin · WeChat Channels

No coding required! Just describe your topic in plain language — the coding agent guides you through each step interactively. You make creative decisions, the agent handles all the technical details. Creating your first video podcast is easier than you think.

Note: This project is still under active development and may not be fully mature yet. We are continuously iterating and improving. Your feedback and suggestions are greatly appreciated — feel free to open an issue or reach out!

Features

• Topic Research - Web search and content gathering
• Script Writing - Structured narration with section markers
• Multi-TTS - Edge TTS (free), Azure Speech, Volcengine Doubao, CosyVoice, ElevenLabs, Google Cloud TTS, OpenAI TTS
• Remotion Video - React-based video composition with animations
• Visual Style Editing - Adjust colors, fonts, and layout in Remotion Studio UI
• Real-time Preview - Remotion Studio for instant debugging before render
• Auto Timing - Audio-video sync via timing.json
• BGM Mixing - Background music overlay with FFmpeg
• Subtitle Burning - Optional SRT subtitle embedding
• 4K Output - 3840x2160 resolution for crisp uploads
• Chapter Progress Bar - Visual timeline showing current section during playback
• Bilingual TTS - Chinese/English mixed narration with Azure Speech or CosyVoice
• Pronunciation Correction - Global + per-project phoneme dictionaries for Chinese polyphone fixes
• Bilibili Templates - Ready-to-use Remotion templates (Video.tsx, Root.tsx, Thumbnail.tsx, podcast.txt) for quick project scaffolding
• Component Library - Reusable visual building blocks (ComparisonCard, Timeline, CodeBlock, QuoteBlock, FeatureGrid, DataBar, StatCounter, FlowChart, IconCard, DiagramReveal, AudioWaveform, LottieAnimation, MediaSection, SectionLayouts, AnimatedBackground) for composing rich section layouts
• Preference Learning - Auto-learns user style preferences (colors, fonts, speech rate) and applies them to future videos
• Multi-Platform - Bilibili, YouTube, Xiaohongshu, Douyin, and WeChat Channels with independent platform and language settings
• Multi-Language - Chinese (zh-CN) and English (en-US) script templates, TTS voices, subtitle fonts
• Subtitle Preferences - Custom font, size, color, outline; toggle subtitle burning on/off
• Configurable CTA - Auto (Bilibili triple/YouTube subscribe), animation, text, or custom

Platform Optimizations

Bilibili:

• Script Structure - Welcome intro + call-to-action outro (一键三连)
• Chapter Timestamps - Auto-generated MM:SS format for B站 chapters
• Thumbnail Generation - AI (imagen/imagenty) or Remotion, auto-generates 16:9 + 4:3 versions
• Visual Style - Bold text, minimal whitespace, high information density
• Publish Info - Title formulas, tag strategies, description templates

YouTube:

• SEO Optimization - Title <70 chars, keyword-rich description, tags and hashtags
• Chapters - Auto-generated YouTube chapter timestamps (first line at 0:00)
• CTA - "Like, Subscribe & Share" text animation or custom

Xiaohongshu (小红书):

• Title - Max 20 chars, punchy and emoji-friendly
• Description - 200-500 chars, 种草/knowledge-sharing style with emoji
• Hashtags - #话题# format (double hash), 5-10 tags
• Thumbnail - 3:4 (1080x1440) for feed optimization
• CTA - "点赞收藏加关注" text animation

Douyin (抖音):

• Format - Vertical shorts only (9:16), no horizontal long-form
• Description - 100-200 chars, casual and conversational with emoji
• Hashtags - #话题 format (single hash), 3-8 tags
• CTA - "点赞关注" text only (no animation)

WeChat Channels (微信视频号):

• Format - Vertical shorts only (9:16), no horizontal long-form
• Description - 100-300 chars, knowledge-sharing style for forwarding
• Hashtags - #话题 format (single hash), 3-8 tags
• CTA - "点赞关注，转发给朋友" text only (no animation)

Workflow

Related Skills

This skill depends on remotion-best-practices and works alongside other optional skills:

• remotion-best-practices - Official Remotion best practices (required, provides core Remotion patterns and guidelines)
• find-skills - Official skill discovery tool (optional, helps find and install additional skills)
• ffmpeg - Advanced audio/video processing (optional)
• imagen / imagenty - AI thumbnail generation (optional)

Requirements

System Requirements

| Software | Version | Purpose | |----------|---------|---------| | macOS / Linux | - | Tested on macOS, Linux compatible | | Python | 3.8+ | TTS script, automation | | Node.js | 18+ | Remotion video rendering | | FFmpeg | 4.0+ | Audio/video processing |

Installation

# macOS
brew install ffmpeg node python3

# Ubuntu/Debian
sudo apt install ffmpeg nodejs python3 python3-pip

# Python dependencies
pip install azure-cognitiveservices-speech dashscope edge-tts requests

Project Setup (Required)

Important: This skill requires a Remotion project as the foundation.

Understanding the components:

| Component | Source | Purpose | |-----------|--------|---------| | Remotion Project | npx create-video | Base framework with src/, public/, package.json | | video-podcast-maker | SKILL.md workflow | Workflow orchestration (this skill) |

# Step 1: Create a new Remotion project (base framework)
npx create-video@latest my-video-project
cd my-video-project
npm i  # Install Remotion dependencies

# Step 2: Verify installation
npx remotion studio  # Should open browser preview

If you already have a Remotion project:

cd your-existing-project
npm install remotion @remotion/cli @remotion/player zod

API Keys Required

| Service | Purpose | Get Key | |---------|---------|---------| | Azure Speech | TTS audio generation (high quality) | Azure Portal → Speech Services | | Volcengine Doubao Speech | TTS audio generation (alternative backend) | Volcengine Console | | Aliyun CosyVoice | TTS audio generation (alternative backend) | Aliyun Bailian | | Edge TTS | TTS audio generation (default, free, no key needed) | pip install edge-tts | | ElevenLabs | TTS audio generation (highest quality English) | ElevenLabs | | Google Cloud TTS | TTS audio generation (wide language support) | Google Cloud Console | | OpenAI | TTS audio generation (simple API) | OpenAI Platform | | Google Gemini | AI thumbnail generation (optional) | AI Studio | | Aliyun Dashscope | AI thumbnail - Chinese optimized (optional) | Aliyun Bailian |

Environment Variables

Add to ~/.zshrc or ~/.bashrc:

# TTS Backend: edge (default, free), azure, doubao, cosyvoice, elevenlabs, google, openai
export TTS_BACKEND="edge"                            # Default (free), or "azure" / "doubao" / "cosyvoice" / "elevenlabs" / "google" / "openai"

# Azure TTS (high quality)
export AZURE_SPEECH_KEY="your-azure-speech-key"
export AZURE_SPEECH_REGION="eastasia"

# Volcengine Doubao TTS (alternative backend)
export VOLCENGINE_APPID="your-volcengine-appid"
export VOLCENGINE_ACCESS_TOKEN="your-volcengine-access-token"
export VOLCENGINE_CLUSTER="volcano_tts"              # Default cluster, adjust per console config
export VOLCENGINE_VOICE_TYPE="BV001_streaming"       # Adjust per console voice options

# Aliyun CosyVoice TTS (alternative backend) + AI thumbnails
export DASHSCOPE_API_KEY="your-dashscope-api-key"

# Optional: Edge TTS voice override
export EDGE_TTS_VOICE="zh-CN-XiaoxiaoNeural"

# ElevenLabs TTS
export ELEVENLABS_API_KEY="your-elevenlabs-api-key"

# Google Cloud TTS
export GOOGLE_TTS_API_KEY="your-google-tts-api-key"

# OpenAI TTS
export OPENAI_API_KEY="your-openai-api-key"

# Optional: Google Gemini for AI thumbnails
export GEMINI_API_KEY="your-gemini-api-key"

Then reload: source ~/.zshrc

Quick Start

Usage

This skill is designed for use with coding agents that support SKILL.md, including Claude Code, Codex, and OpenCode. Simply tell your agent:

"Create a video podcast about [your topic]"

The agent will guide you through the entire workflow automatically.

Tips: The quality of first-generation output heavily depends on the model's intelligence and capabilities — the smarter and more advanced the model, the better the results. In our testing, both Codex and Claude Code produce excellent videos on the first try, and OpenCode paired with GLM-5 also delivers solid results. If the initial output isn't perfect, you can preview it in Remotion Studio and ask the coding agent to keep refining until you're satisfied.

Preview & Visual Editing with Remotion Studio

Before rendering the final video, use Remotion Studio to preview and visually edit styles:

npx remotion studio src/remotion/index.ts

This opens a browser-based editor where you can:

• Visual Style Editing - Adjust colors, fonts, and sizes in the right panel
• Scrub through the timeline frame-by-frame
• See live updates as you edit components
• Debug timing and animations instantly

Editable Properties

| Category | Properties | |----------|-----------| | Colors | Primary color, background, text color, accent | | Typography | Title size (72-120), subtitle size, body size | | Progress Bar | Show/hide, height, font size, active color | | Audio | BGM volume (0-0.3) | | Animation | Enable/disable entrance animations |

Configuration Files

| File | Scope | Purpose | |------|-------|---------| | phonemes.json | Global | Chinese polyphone dictionary shared across all projects. Edit to add/fix pronunciations (e.g., 行 háng vs xíng). Per-project overrides go in videos/{name}/phonemes.json | | user_prefs.template.json | Global | Default preferences template. Copied to user_prefs.json on first run, which auto-evolves as the skill learns your style | | prefs_schema.json | Global | JSON Schema for preference validation. Do not edit manually | | tsconfig.json | Global | TypeScript config for Remotion templates |

Output Structure

videos/{video-name}/
├── topic_definition.md      # Topic direction
├── topic_research.md        # Research notes
├── podcast.txt              # Narration script
├── phonemes.json            # (Optional) Project-specific pronunciation overrides
├── podcast_audio.wav        # TTS audio
├── podcast_audio.srt        # Subtitles
├── timing.json              # Section timing for sync
├── thumbnail_*.png          # Video thumbnails
├── publish_info.md          # Title, tags, description
├── part_*.wav               # TTS segments (temp, cleanup via Step 14)
├── output.mp4               # Raw render (temp)
├── video_with_bgm.mp4       # With BGM (temp)
└── final_video.mp4          # Final output

Background Music

Included tracks in assets/:

• perfect-beauty-191271.mp3 - Upbeat, positive
• snow-stevekaldes-piano-397491.mp3 - Calm piano

Roadmap

• [x] Vertical video support (9:16) for Bilibili mobile-first content
• [x] Remotion transitions (@remotion/transitions) for professional chapter transitions
• [x] Component template library (ComparisonCard, Timeline, CodeBlock, QuoteBlock, FeatureGrid, DataBar, StatCounter, FlowChart, IconCard)
• [x] Broadcast quality upgrade (gradient backgrounds, layered shadows, animated counters, quality checklists)
• [x] Multi TTS engine support (7 engines: Edge, Azure, Doubao, CosyVoice, ElevenLabs, OpenAI, Google Cloud)
• [x] Edge TTS free backend (no API key required)
• [x] Multi-platform support (Bilibili + YouTube) with independent language configuration (zh-CN, en-US)
• [x] Resume from breakpoint (--resume flag)
• [x] Dry-run mode (--dry-run for duration estimation)
• [x] User preference self-evolution (auto-learns visual/TTS/content style preferences)
• [x] Refactor skill docs for portable SKILL.md usage across Claude Code, Codex, OpenCode, and OpenClaw
• [x] Design learning system — Learn design styles from reference videos/images, build a design reference library and reusable style profiles
• [ ] Playwright auto-capture — Analyze Bilibili/YouTube video design styles directly via URL (Phase 4)
• [ ] Step 9 smart suggestions — Auto-match and recommend existing style profiles when creating videos (Phase 5)
• [ ] Cover design learning — Apply learned cover styles to Thumbnail.tsx template (Phase 5)
• [ ] YouTube automated publishing — Upload via YouTube Data API with metadata, chapters, thumbnails
• [ ] Windows compatibility (WSL verification + docs)

License

MIT

Support

If this project helps you, consider supporting the author:

Author

Agents365-ai

• Bilibili: https://space.bilibili.com/441831884
• GitHub: https://github.com/Agents365-ai