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Video Podcast Maker

CommunityPopular
dtsola
video-podcast-maker

Use when the user gives a topic and wants an automated video podcast created, or asks to learn visual design patterns from a reference video/image. Produces 4K video via research → script → TTS → Remotion → MP4 + BGM.

Overview

Publisherdtsola
Repositoryxiaoyaosearch
Skill namevideo-podcast-maker
Stars
1K
Forks
54
Bundled files
78
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 78 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by dtsola on GitHub. Read the source before you install it.

Installation

Install the Video Podcast Maker AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/dtsola/xiaoyaosearch/tree/main/.claude/skills/video-podcast-maker
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dtsola/xiaoyaosearch.git /tmp/xiaoyaosearch
mkdir -p .claude/skills
cp -r /tmp/xiaoyaosearch/.claude/skills/video-podcast-maker .claude/skills/video-podcast-maker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Video Podcast Maker in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Video Podcast Maker on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Video Podcast Maker is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

REQUIRED: Load Remotion Best Practices First

This skill depends on remotion-best-practices. You MUST invoke it before proceeding:

Invoke the skill/tool named: remotion-best-practices

Video Podcast Maker

Quick Start

Open your coding agent and say: "Make a video podcast about $ARGUMENTS"

Or invoke directly: /video-podcast-maker AI Agent tutorial


Design Learning (Optional)

Extract visual design patterns from reference videos or images and apply them to new video compositions. Skip this section unless the user provides a reference video/image or asks to save/list/delete style profiles.

→ See references/design-learning.md for commands, reference-library management, style-profile management, and integration with Pre-workflow / Step 9.


Auto Update Check

Agent behavior: Check for updates at most once per day (throttled by timestamp file). Before any shell command that reads files from this skill, resolve SKILL_DIR to the directory containing SKILL.md. If your agent exposes a built-in skill directory variable such as ${CLAUDE_SKILL_DIR}, you may map it to SKILL_DIR.

bash
SKILL_DIR="${SKILL_DIR:-${CLAUDE_SKILL_DIR}}"
STAMP="${SKILL_DIR}/.last_update_check"
NOW=$(date +%s)
LAST=$(cat "$STAMP" 2>/dev/null || echo 0)
if [ ! -d "${SKILL_DIR}/.git" ]; then
  echo "MANUAL_INSTALL"
elif [ $((NOW - LAST)) -gt 86400 ]; then
  timeout 5 git -C "${SKILL_DIR}" fetch --quiet 2>/dev/null || true
  LOCAL=$(git -C "${SKILL_DIR}" rev-parse HEAD 2>/dev/null)
  REMOTE=$(git -C "${SKILL_DIR}" rev-parse origin/main 2>/dev/null)
  echo "$NOW" > "$STAMP"
  if [ -n "$LOCAL" ] && [ -n "$REMOTE" ] && [ "$LOCAL" != "$REMOTE" ]; then
    echo "UPDATE_AVAILABLE"
  else
    echo "UP_TO_DATE"
  fi
else
  echo "SKIPPED_RECENT_CHECK"
fi
  • Update available: Ask the user whether to pull updates. Yes → git -C "${SKILL_DIR}" pull. No → continue.
  • Up to date / Skipped: Continue silently.
  • Manual install (no .git directory — skill was installed via tarball/zip/cp): Continue silently. Auto-update is disabled; the user must reinstall manually to update.

Prerequisites Check

!python3 "${SKILL_DIR}/scripts/check_prereqs.py"

If MISSING reported above, see README.md for full setup instructions (install commands, API key setup, Remotion project init). The check is backend-aware: backend is resolved as TTS_BACKEND env var → user_prefs.json (global.tts.backend) → edge default, then only env vars required by that backend are validated.


Overview

Automated pipeline for professional Bilibili horizontal knowledge videos from a topic.

Target: Bilibili horizontal video (16:9)

  • Resolution: 3840×2160 (4K) or 1920×1080 (1080p)
  • Style: Clean white (default)

Tech stack: Coding agent + TTS backend + Remotion + FFmpeg

Output Specs

ParameterHorizontal (16:9)Vertical (9:16)
Resolution3840×2160 (4K)2160×3840 (4K)
Frame rate30 fps30 fps
EncodingH.264, 16MbpsH.264, 16Mbps
AudioAAC, 192kbpsAAC, 192kbps
Duration1-15 min60-90s (highlight)

Execution Modes

Agent behavior: Detect user intent at workflow start:

  • "Make a video about..." / no special instructions → Auto Mode
  • "I want to control each step" / mentions interactive → Interactive Mode
  • Default: Auto Mode

Auto Mode (Default)

Full pipeline with sensible defaults. Mandatory stop at Step 9:

  1. Step 9: Launch Remotion Studio — user reviews in real-time, requests changes until satisfied
  2. Step 10: Only triggered when user explicitly says "render 4K" / "render final version"
StepDecisionAuto Default
3Title positiontop-center
5Media assetsSkip (text-only animations)
7Thumbnail methodRemotion-generated (16:9 + 4:3)
9Outro animationPre-made MP4 (white/black by theme)
9Preview methodRemotion Studio (mandatory)
12SubtitlesSkip
14CleanupAuto-clean temp files

Users can override any default in their initial request:

  • "make a video about AI, burn subtitles" → auto + subtitles on
  • "use dark theme, AI thumbnails" → auto + dark + imagen
  • "need screenshots" → auto + media collection enabled

Interactive Mode

Prompts at each decision point. Activated by:

  • "interactive mode" / "I want to choose each option"
  • User explicitly requests control

Technical Rules

Hard constraints for video production. Visual design remains the agent's creative freedom within these rules:

RuleRequirement
Single ProjectAll videos under videos/{name}/ in user's Remotion project. NEVER create a new project per video.
4K Output3840×2160, use scale(2) wrapper over 1920×1080 design space
Content Width≥85% of screen width
Bottom Safe ZoneBottom 100px reserved for subtitles
Audio SyncAll animations driven by timing.json timestamps
ThumbnailMUST generate 16:9 (1920×1080) AND 4:3 (1200×900). Centered layout, title ≥120px, icons ≥120px, fill most of canvas. See design-guide.md.
FontPingFang SC / Noto Sans SC for Chinese text
Studio Before RenderMUST launch remotion studio for user review. NEVER render 4K until user explicitly confirms ("render 4K", "render final").

Additional Resources

Load these files on demand — do NOT load all at once:

  • references/workflow-steps.md: Index of the 15-step workflow split across three phase files. Load at workflow start to locate which phase file to pull:
  • references/design-guide.md: Visual minimums, typography, layout patterns, checklists. MUST load before Step 9.
  • references/design-learning.md: Extracting visual patterns from reference videos/images, style profiles. Load only when the user provides a reference or manages profiles.
  • references/troubleshooting.md: Error fixes, BGM options, preference commands, preference learning. Load on error or user request.
  • examples/: Real production video projects. The agent may reference these for composition structure and timing.json format.

Directory Structure

project-root/                           # Remotion project root
├── src/remotion/                       # Remotion source
│   ├── compositions/                   # Video composition definitions
│   ├── Root.tsx                        # Remotion entry
│   └── index.ts                        # Exports
│
├── public/                             # Remotion default (unused — use --public-dir videos/{name}/)
│
├── videos/{video-name}/                # Video project assets
│   ├── topic_definition.md             # Step 1
│   ├── topic_research.md               # Step 2
│   ├── podcast.txt                     # Step 4: narration script
│   ├── podcast_audio.wav               # Step 8: TTS audio
│   ├── podcast_audio.srt               # Step 8: subtitles
│   ├── timing.json                     # Step 8: timeline
│   ├── thumbnail_*.png                 # Step 7
│   ├── output.mp4                      # Step 10
│   ├── video_with_bgm.mp4             # Step 11
│   ├── final_video.mp4                 # Step 12: final output
│   └── bgm.mp3                         # Background music
│
└── remotion.config.ts

Important: Always use --public-dir and full output path for Remotion render:

bash
npx remotion render src/remotion/index.ts CompositionId videos/{name}/output.mp4 --public-dir videos/{name}/

Naming Rules

Video name {video-name}: lowercase English, hyphen-separated (e.g., reference-manager-comparison)

Section name {section}: lowercase English, underscore-separated, matches [SECTION:xxx]

Thumbnail naming (16:9 AND 4:3 both required):

Type16:94:3
Remotionthumbnail_remotion_16x9.pngthumbnail_remotion_4x3.png
AIthumbnail_ai_16x9.pngthumbnail_ai_4x3.png

Public Directory

Use --public-dir videos/{name}/ for all Remotion commands. Each video's assets (timing.json, podcast_audio.wav, bgm.mp3) stay in its own directory — no copying to public/ needed. This enables parallel renders of different videos.

bash
# All render/studio/still commands use --public-dir
npx remotion studio src/remotion/index.ts --public-dir videos/{name}/
npx remotion render src/remotion/index.ts CompositionId videos/{name}/output.mp4 --public-dir videos/{name}/ --video-bitrate 16M
npx remotion still src/remotion/index.ts Thumbnail16x9 videos/{name}/thumbnail.png --public-dir videos/{name}/

Workflow

Progress Tracking

At Step 1 start, use your agent's task tracker (Claude Code TaskCreate / Codex todo list / equivalent) to create one task per step. Mark in_progress on start, completed on finish. Files in videos/{name}/ (e.g. podcast.txt, timing.json, output.mp4) act as the durable record of what completed — if a session is interrupted, inspect the directory to determine where to resume.

 1. Define topic direction → topic_definition.md
 2. Research topic → topic_research.md
 3. Design video sections (5-7 chapters)
 4. Write narration script → podcast.txt
 4.5. Pronunciation pre-flight (zh-CN only) → videos/{name}/phonemes.json
 5. Collect media assets → media_manifest.json
 6. Generate publish info (Part 1) → publish_info.md
 7. Generate thumbnails (16:9 + 4:3) → thumbnail_*.png
 8. Generate TTS audio → podcast_audio.wav, timing.json
 9. Create Remotion composition + Studio preview (mandatory stop)
10. Render 4K video (only on user request) → output.mp4
11. Mix background music → video_with_bgm.mp4
12. Add subtitles (optional) → final_video.mp4
13. Complete publish info (Part 2) → chapter timestamps
14. Verify output & cleanup
15. Generate vertical shorts (optional) → shorts/

Validation Checkpoints

After Step 8 (TTS):

  • podcast_audio.wav exists and plays correctly
  • timing.json has all sections with correct timestamps
  • podcast_audio.srt encoding is UTF-8

After Step 10 (Render):

  • output.mp4 resolution is 3840x2160
  • Audio-video sync verified
  • No black frames

Key Commands Reference

See CLAUDE.md for the full command reference (TTS, Remotion, FFmpeg, shorts generation).


User Preference System

Skill learns and applies preferences automatically. See references/troubleshooting.md for commands and learning details.

Storage Files

FilePurpose
user_prefs.jsonLearned preferences (auto-created from template)
user_prefs.template.jsonDefault values
prefs_schema.jsonJSON schema definition

Priority

Final = merge(Root.tsx defaults < global < topic_patterns[type] < current instructions)

User Commands

CommandEffect
"show preferences"Show current preferences
"reset preferences"Reset to defaults
"save as X default"Save to topic_patterns

Troubleshooting & Preferences

Full reference: Read references/troubleshooting.md on errors, preference questions, or BGM options.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 18 more files.

Frequently asked questions

What does the Video Podcast Maker AI skill do?

Use when the user gives a topic and wants an automated video podcast created, or asks to learn visual design patterns from a reference video/image. Produces 4K video via research → script → TTS → Remotion → MP4 + BGM.

Why use Video Podcast Maker on TypingMind?

Because you install it once and use it with any model. Video Podcast Maker is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Video Podcast Maker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dtsola/xiaoyaosearch/tree/main/.claude/skills/video-podcast-maker. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Video Podcast Maker?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Video Podcast Maker?

As many as you like. As long as a model supports skills, you can use Video Podcast Maker with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Video Podcast Maker AI skill free?

It is published on GitHub by dtsola. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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