video-podcast-maker
Use when the user gives a topic and wants an automated topic-driven narrated explainer, podcast, or knowledge-summary video (Bilibili / YouTube / Xiaohongshu / Douyin / WeChat Channels), or asks to learn visual design patterns from a reference video/image. Trigger when the user mentions creating a knowledge video, narrated explainer, video podcast, or animated infographic-style video from a topic — even if they don't say "video podcast" explicitly. Also trigger when the user wants to regenerate, re-render, rebuild, update, or iterate on a narrated video this skill already produced — e.g. they edited the script/prompt, changed the visuals, or swapped the background music and want the final video remade (reuse the existing videos/{name}/ directory, never start a new project). Do NOT trigger for generic video editing, trimming, format conversion, color grading, or non-narrative video tasks. Produces 4K video via research → script → TTS → Remotion → MP4 + BGM.
How do I install this agent skill?
npx skills add https://github.com/agents365-ai/365-skills --skill video-podcast-makerIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill is a professional video production pipeline that uses Remotion and FFmpeg to create narrated explainer videos. No malicious patterns, prompt injections, or data exfiltration attempts were detected. All identified command executions and external references are necessary for the skill's core functionality.
- Socketwarn
1 alert: gptAnomaly
- Snykwarn
Risk: MEDIUM · 1 issue
What does this agent skill do?
REQUIRED: Load Remotion Best Practices First
This skill depends on
remotion-best-practices.
- Pi: read the loaded skill at
remotion-best-practices(listed in available skills).- Claude Code: invoke
remotion-best-practicesskill/tool before proceeding.Not installed? Get it from remotion-dev/skills (docs: remotion.dev/docs/ai/skills).
If
remotion-best-practicesis not installed, minimum rules: chromium must be available, always wrap 4K content in<Scale4K>, use<TransitionSeries>withlinearTiming, and treat audio as the master clock.
Video Podcast Maker
Automated pipeline for 4K Bilibili horizontal knowledge videos from a topic. Coding agent + TTS backend + Remotion + FFmpeg.
Contents
- Bootstrap — prerequisites (run before Step 1)
- Execution Modes — Auto vs Interactive → references/workflow-script.md
- Regenerating an Existing Video — iterate on a finished video
- Workflow — the 11-step pipeline + phase-file pointers + mandatory stops
- Hard Rules — non-negotiable production constraints
- Audio-Master Clock & Sync
- Per-Video Layout
- Additional Resources — when to load each
references/file - User Preferences
- Troubleshooting
Bootstrap
Resolve SKILL_DIR to the directory containing this SKILL.md:
- Pi: the agent knows the skill path from the loaded skill list — set
SKILL_DIRto that directory before running commands. - Claude Code:
${CLAUDE_SKILL_DIR}is auto-populated.
SKILL_DIR="${SKILL_DIR:-${CLAUDE_SKILL_DIR}}"
# Prerequisites (CLIs + backend env vars)
python3 "${SKILL_DIR}/scripts/check_prereqs.py"
Updates flow through the plugin marketplace (/plugin update); direct git-clone installs use git pull per the README. This skill performs no update checks.
Prereqs failures — see README.md for setup. The check is backend-aware (resolves TTS_BACKEND env → user_prefs.json global.tts.backend → edge default), so only env vars required by the active backend are validated.
First video in a new project? Prefer reusing an existing Remotion project with node_modules/ already installed — creating a fresh project downloads ~2.2 GB of npm packages plus a 90 MB Chrome headless shell (one-time per project). If the user has a project from a previous video, use it. If a fresh project is necessary, run npm install in the background while you do Steps 1-4 (topic research and script writing).
All rendering goes into videos/{name}/ — every output.mp4, final_video.mp4, and thumbnail_*.png lands directly in the per-video directory. Never render to an out/ or dist/ directory; the --public-dir videos/{name}/ convention keeps everything self-contained.
TTS engine — all 11 backends (TTS_BACKEND=edge|azure|cosyvoice|doubao|tencent|baidu|minimax|xunfei|elevenlabs|openai|google) synthesize through the ttscn component skill, which is required: install it under ~/.claude/skills/ttscn or point TTSCN_HOME at its root (Agents365-ai/ttsCN). Each backend still needs only its own API keys (Edge needs none); check_prereqs.py validates both the install and the keys.
Pi users:
ttscnis not bundled with Pi — installAgents365-ai/ttsCNas a Pi skill (itsskills/ttscn/layout is auto-detected) or setTTSCN_HOME;check_prereqs.pyverifies the install before TTS.
Design Learning shortcut: If the user provides a reference video/image or asks to save/list/delete style profiles, see references/design-learning.md instead of running the workflow below.
Execution Modes
Detect Auto Mode (default) vs Interactive Mode at workflow start — the Auto-default decision table and per-request overrides are in references/workflow-script.md.
Regenerating an Existing Video
If videos/{name}/ already exists and the user is iterating on a finished or in-progress video, reuse that directory. Do NOT start a new project or a new videos/{newname}/.
Pick the smallest re-run for what actually changed:
| Changed | Re-run | Reuses (don't redo) |
|---|---|---|
Narration script (podcast.txt) | Step 7 (TTS) → Step 8 preview → render+mix | topic research + section design |
| Visuals only (components, layout, colors) | Step 8 preview → render+mix | audio (podcast_audio.wav / timing.json) |
| Background music only | Re-mix BGM | output.mp4 (no re-render) |
| Subtitles only | Step 10.1 finalize | output.mp4 / video_with_bgm.mp4 |
Any re-run that changes what the viewer sees or hears re-enters the Step 8 gate: apply the change, let Studio hot-reload, and wait for a fresh explicit "render 4K" — the previous confirmation does not carry over. A script change shifts every downstream timestamp, so always regenerate timing.json through TTS — never hand-edit it. After any re-run, re-verify:
python3 ${SKILL_DIR}/scripts/verify_output.py videos/{name}/
Workflow
Iterating on a finished video? If
videos/{name}/already exists, see Regenerating an Existing Video above for the minimal re-run — do NOT start at Step 1.
At Step 1 start, create one task per step in your agent's tracker. Mark in_progress on start, completed on finish. Files in videos/{name}/ are the durable record — if interrupted, inspect the directory to determine where to resume.
| # | Step | Output | Phase file |
|---|---|---|---|
| 1 | Define topic direction | topic_definition.md | workflow-script.md |
| 2 | Research topic | topic_research.md | workflow-script.md |
| 3 | Design 5-7 sections | (in-memory) | workflow-script.md |
| 4 | Write narration script | podcast.txt | workflow-script.md |
| 4.5 | Pronunciation pre-flight (zh-CN) | phonemes.json | workflow-script.md |
| 5 | Asset plan & resolve | assets/manifest.json | workflow-assets.md |
| 6 | Generate thumbnails (16:9 + 4:3) | thumbnail_*.png | workflow-production.md |
| 7 | Generate TTS audio | podcast_audio.wav, timing.json | workflow-production.md |
| 8 | Remotion composition + Studio preview | — | workflow-production.md |
| 9 | Render 4K + mix BGM | output.mp4, video_with_bgm.mp4 | workflow-production.md |
| 10 | Publish info + verify output | publish_info.md, final_video.mp4 | workflow-publish.md |
| 11 | Generate vertical shorts (optional) | shorts/ | workflow-publish.md |
Mandatory stops (bold rows above):
- Step 8 — Studio review. MUST launch
npx remotion studioand wait for user feedback before rendering. NEVER render 4K until the user explicitly confirms ("render 4K" / "render final"). A reply containing adjustment requests is not confirmation — apply the changes, let Studio hot-reload, and ask again. Every round of adjustments needs its own fresh confirmation before Step 9. - Step 10 —
verify_output.py. MUST pass before declaring the video done. Exit 0 = green; exit 2 = warnings still publishable. Auto-fixes common omissions (createsfinal_video.mp4if missing). Validates publish info (title, description, tags, chapters) against the platform matrix — generate it in Steps 5.5 and 10.2. For machine-readable output add--format json.
Pre-render audit (recommended) — before Step 8:
python3 ${SKILL_DIR}/scripts/audit_beat_sync.py <Video.tsx> <timing.json>
Flags beats that drift > 1.5s from narration.
Auto Mode: visual self-review. When running in Auto Mode (no user watching Studio), render 3-5 key frame stills before asking for render confirmation:
npx remotion still src/remotion/index.ts <CompositionId> videos/{name}/_review_001.png --public-dir videos/{name}/ --frame=<midpoint_frame>
Pick frames at: hero title (~10% in), a dense section midpoint, and the outro. Read the stills back as images and run the design-guide.md and visual-taste.md checklists against actual rendered output. Catch overflow, contrast, and layout regressions before the 4K render. Delete _review_*.png after review.
Validation Checkpoints
| After Step | Check |
|---|---|
| 7 (TTS) | podcast_audio.wav plays · timing.json covers all sections · SRT is UTF-8 |
| 9 (Render) | output.mp4 is 3840×2160 · audio-video sync · no black frames |
| 10 (Verify) | verify_output.py exits 0 (or 2 with reviewed warnings) |
Hard Rules
| Rule | Requirement |
|---|---|
| Single Project | All videos under videos/{name}/ in user's Remotion project. NEVER create a new project per video. |
| 4K Output | 3840×2160 (or 2160×3840 vertical), use scale(2) wrapper over 1920×1080 design space |
| Audio Sync | Audio (podcast_audio.wav + podcast_audio.srt) is the master clock. timing.json MUST be generated from the real TTS output, never hand-estimated. Before rendering, final video duration must match audio within ±0.5s. See Audio-Master Clock & Sync. |
| Thumbnail | MUST generate both 16:9 (1920×1080) AND 4:3 (1200×900) — see design-guide.md |
| Studio Before Render | MUST launch remotion studio for review. NEVER render 4K until user explicitly confirms. Adjustment feedback ≠ confirmation — apply, hot-reload, ask again. |
--public-dir | Every Remotion command uses --public-dir videos/{name}/. All output files (output.mp4, final_video.mp4, thumbnails) go directly into videos/{name}/ — never an out/ or dist/ dir. |
Visual minimums (text sizes, content width, safe zones, animation safety) live in references/design-guide.md. MUST load before Step 8.
Audio-Master Clock & Sync
Golden rules
- Audio is the master clock. Every slide start, subtitle, chapter, and animation beat is derived from
podcast_audio.wavandpodcast_audio.srt. - Generate timing from TTS, not from text estimates. Pipeline:
podcast.txt→generate_tts.py→podcast_audio.wav+podcast_audio.srt+timing.json→ composition → render. - Never hand-write
timing.jsonbefore audio exists. If you already have curated slides, runalign_timing_from_srt.pyto anchor them to the real SRT. - Compensate TransitionSeries overlap.
TransitionSeriesrenderssum(section.duration_frames) - (N-1) * transitionFramesframes. Scale every section proportionally to keep the rendered length equal totiming.total_frames. Do not stuff all overlap frames into the first section. The corrected pattern is intemplates/Video.tsx.
Mandatory sync checkpoints
| When | Check |
|---|---|
| After Step 7 (TTS) | timing.json.total_duration matches podcast_audio.wav within ±0.5s |
| Before render | Video.tsx scales all sections for transition overlap |
| After render | final_video.mp4 duration matches podcast_audio.wav within ±0.5s |
| Step 10 (verify) | verify_output.py exits 0 and reports green on audio/timing |
If any checkpoint fails, stop. Do not publish.
Output Specs
| Parameter | Horizontal (16:9) | Vertical (9:16) |
|---|---|---|
| Resolution | 3840×2160 (4K) | 2160×3840 (4K) |
| Frame rate | 30 fps | 30 fps |
| Encoding | H.264, 16Mbps | H.264, 16Mbps |
| Audio | AAC, 192kbps | AAC, 192kbps |
| Duration | 1-15 min | 60-90s (highlight) |
Per-Video Layout
project-root/ # Remotion project root
├── src/remotion/ # Remotion source (Root.tsx, compositions, index.ts)
├── videos/{video-name}/ # Per-video directory
│ ├── topic_definition.md # Step 1
│ ├── topic_research.md # Step 2
│ ├── podcast.txt # Step 4: narration script
│ ├── phonemes.json # Step 4.5: zh-CN pronunciation overrides
│ ├── assets/manifest.json # Step 5: per-section asset registry
│ ├── publish_info.md # Step 10: title/description/tags
│ ├── podcast_audio.wav # Step 7: TTS audio
│ ├── podcast_audio.srt # Step 7: subtitles
│ ├── timing.json # Step 7: timeline (drives animations)
│ ├── thumbnail_*.png # Step 6
│ ├── output.mp4 # Step 9: 4K render
│ ├── video_with_bgm.mp4 # Step 9: with BGM
│ ├── final_video.mp4 # Step 10: final output
│ └── bgm.mp3 # Background music
└── remotion.config.ts
--public-dir per video
Every Remotion command uses --public-dir videos/{name}/ — each video's assets stay in its own directory, enabling parallel renders:
npx remotion studio src/remotion/index.ts --public-dir videos/{name}/
npx remotion render ... videos/{name}/output.mp4 --public-dir videos/{name}/ --video-bitrate 16M
npx remotion still ... videos/{name}/thumbnail.png --public-dir videos/{name}/
Naming
- Video name
{video-name}: lowercase English, hyphen-separated (e.g.reference-manager-comparison) - Section name
{section}: lowercase English, underscore-separated, matches[SECTION:xxx] - Thumbnails (16:9 AND 4:3 both required):
thumbnail_remotion_16x9.png+thumbnail_remotion_4x3.png(or_ai_prefix for AI-generated)
Additional Resources
Load on demand — do NOT load all at once:
| File | Load when |
|---|---|
| references/workflow-script.md | Steps 1-4 (topic → script) + Execution Modes (Auto vs Interactive) |
| references/natural-narration.md | Load before Step 4 script writing — anti-slop rules for spoken narration (kill list, structural tells, checklist) |
| references/script-polish.md | Load after Step 4 draft is written — deep editing toolkit with 24 EN+ZH before/after patterns, evidence boundaries, quality rubrics |
| references/workflow-assets.md | Step 5, or when the user supplies images/clips or wants stock/AI media |
| references/workflow-assets.md | A section needs a data-chart/infographic animation beyond the component library (transparent overlay via Hyperframes) |
| references/workflow-production.md | Steps 5.5-9.5 (publish info draft → thumbnails → TTS → Remotion → render → BGM mix) |
| references/workflow-publish.md | Steps 10-11 (publish info, verify, shorts) |
| references/platform-matrix.md | Platform-specific behavior (thumbnails, chapters, outro, publish info, shorts) |
| references/design-guide.md | MUST load before Step 8 — visual minimums, typography, animation safety |
| references/visual-taste.md | Load before Step 8 alongside design-guide — design dials, anti-default rules, visual modes, section rhythm |
| references/design-learning.md | User provides a reference video/image, or manages style profiles |
| references/troubleshooting.md | Choosing Azure voice/style, debugging hoarse/glitchy audio |
| references/troubleshooting.md | On error, script/CLI discovery, or user asks about preferences/BGM |
| templates/presets/kinetic-typography/ | Bold type-driven preset (opinion / argument / declaration videos) |
All scripts are reachable through one dispatcher — start with python3 ${SKILL_DIR}/scripts/cli.py --help; full routes and envelope error codes: references/troubleshooting.md.
User Preferences
Mutable state (user_prefs.json, phonemes.json) lives in ~/.video-podcast-maker/ — safe from skill updates. Auto-migrated from the skill directory on first run. Run "show preferences" to view, or "set X Y" to change. Full commands: references/troubleshooting.md.
Troubleshooting
See references/troubleshooting.md on errors, BGM options, preference learning, design-learning issues.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/agents365-ai/365-skills/video-podcast-maker">View video-podcast-maker on skillZs</a>