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Agent Skill · 研究检索

video-podcast-maker(视频播客制作者)

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

video-podcast-maker 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 29,688。

总安装 3,011周安装 128GitHub Stars 公开资料未说明下载 1,055核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:video-podcast-maker(视频播客制作者)
来源仓库:https://github.com/agents365-ai/video-podcast-maker
安装命令:
openclaw skills install video-podcast-maker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install video-podcast-maker

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

根据主题自动生成视频播客内容。video-podcast-maker 属于研究检索类 Skill,可作为该场景下的辅助能力补充。也可用于分析参考视频的学习设计模式。适合知识分享者与教育类内容创作者。用户提供主题后,AI 生成脚本与视觉建议。建议结合真人出镜提升观众信任感。

适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install video-podcast-maker;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

video-podcast-maker 怎么安装?

在终端执行 openclaw skills install video-podcast-maker。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

video-podcast-maker 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

video-podcast-maker 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

video-podcast-maker 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

video-podcast-maker 用的人多吗?

公开数据是累计安装 3,011 次,近一周安装 128 次,下载 1,055 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

video-podcast-maker 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
video-podcast-maker

视频播客制作者 · 本页

3,011—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
video-podcast-maker
description
Use when user provides a topic and wants an automated video podcast created, OR when user wants to learn/analyze video design patterns from reference videos — handles research, script writing, TTS audio synthesis, Remotion video creation, and final MP4 output with background music. Also supports design learning from reference videos (learn command), style profile management, and design reference library. Supports Bilibili, YouTube, Xiaohongshu, Douyin, and WeChat Channels platforms with independent language configuration (zh-CN, en-US).
argument-hint
[topic]
effort
high
allowed-tools
Bash, Read, Write, Edit, Glob, Grep, WebFetch, WebSearch, Agent
author
Agents365-ai
category
Content Creation
version
2.0.0
created
2025-01-27
updated
2026-04-03
bilibili
https://space.bilibili.com/441831884
github
https://github.com/Agents365-ai/video-podcast-maker
dependencies
metadata
openclaw
requires
bins
primaryEnv
AZURE_SPEECH_KEY
emoji
🎬
homepage
https://github.com/Agents365-ai/video-podcast-maker
os
["macos", "linux"]
install
formula
ffmpeg
bins
[ffmpeg]
package
edge-tts
bins
[edge-tts]
REQUIRED: Load Remotion Best Practices First This skill depends on remotion-best-practices. You MUST invoke it before proceeding: `` Skill tool: skill="remotion-best-practices" ``

Video Podcast Maker

Quick Start

Open Claude Code and say: "Make a video podcast about $ARGUMENTS"

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


Design Learning

Extract visual design patterns from reference videos or images, store them in a searchable library, and apply them to new video compositions.

Commands

# Learn from images (Claude Vision analyzes design patterns)
python3 learn_design.py ./screenshot1.png ./screenshot2.png

# Learn from a local video (ffmpeg extracts frames automatically)
python3 learn_design.py ./reference.mp4

# Learn from a URL (Playwright captures screenshots — experimental)
python3 learn_design.py https://www.bilibili.com/video/BV1xx411c7mD

# Save with a named profile and tags
python3 learn_design.py ./reference.mp4 --profile "tech-minimal" --tags "tech,minimal,dark"

Reference Library Commands

references list          # List all stored references (auto-cleans orphaned entries)
references show <id>     # Show full design report for a reference
references delete <id>   # Delete a reference and its files

Style Profile Commands

profiles list            # List all saved style profiles
profiles show <name>     # Show profile props_override
profiles delete <name>   # Delete a style profile
profiles create <name>   # Create a new style profile interactively

Pre-Workflow Usage

When the user provides a reference video or image alongside a video creation request, extract design patterns before Step 1 and apply them as session overrides. See references/workflow-steps.md → Pre-workflow section for the full extraction flow.

Step 9 Integration

Before choosing visual design in Step 9, check for matching style profiles or reference library entries. Apply the best match as a starting point for Remotion composition props. See references/workflow-steps.md → Step 9 Style Profile Integration for the priority chain.


Auto Update Check

Agent behavior: Check for updates at most once per day (throttled by timestamp file):

STAMP="${CLAUDE_SKILL_DIR}/.last_update_check"
NOW=$(date +%s)
LAST=$(cat "$STAMP" 2>/dev/null || echo 0)
if [ $((NOW - LAST)) -gt 86400 ]; then
  timeout 5 git -C ${CLAUDE_SKILL_DIR} fetch --quiet 2>/dev/null || true
  LOCAL=$(git -C ${CLAUDE_SKILL_DIR} rev-parse HEAD 2>/dev/null)
  REMOTE=$(git -C ${CLAUDE_SKILL_DIR} rev-parse origin/main 2>/dev/null)
  echo "$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 user via AskUserQuestion. Yes → git -C ${CLAUDE_SKILL_DIR} pull. No → continue.
  • Up to date / Skipped: Continue silently.

Prerequisites Check

!( missing=""; node -v >/dev/null 2>&1 || missing="$missing node"; python3 --version >/dev/null 2>&1 || missing="$missing python3"; ffmpeg -version >/dev/null 2>&1 || missing="$missing ffmpeg"; [ -n "$AZURE_SPEECH_KEY" ] || missing="$missing AZURE_SPEECH_KEY"; if [ -n "$missing" ]; then echo "MISSING:$missing"; else echo "ALL_OK"; fi )

If MISSING reported above, see README.md for full setup instructions (install commands, API key setup, Remotion project init).


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: Claude + Azure TTS + 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

Workflow State & Resume

Planned feature (not yet implemented). Currently, workflow progress is tracked via Claude's conversation context. If a session is interrupted, re-invoke the skill and Claude will check existing files in videos/{name}/ to determine where to resume.

Technical Rules

Hard constraints for video production — visual design is Claude's creative freedom:

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

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

  • references/workflow-steps.md: Detailed step-by-step instructions (Steps 1-14). Load at workflow start.
  • references/design-guide.md: Visual minimums, typography, layout patterns, checklists. MUST load before Step 9.
  • references/troubleshooting.md: Error fixes, BGM options, preference commands, preference learning. Load on error or user request.
  • examples/: Real production video projects. Claude 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
│   ├── workflow_state.json             # Workflow progress
│   ├── 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.

# 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:

  1. Create videos/{name}/workflow_state.json
  2. Use TaskCreate to create tasks per step. Mark in_progress on start, completed on finish.
  3. Each step updates BOTH workflow_state.json AND TaskUpdate.
 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
 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.

平台分布

OpenClaw

79.45%
按下载量换算838

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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