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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 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,674 个 Skill 里排第 37,602。

总安装 1,706周安装 69GitHub Stars 649下载 535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
unknown

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
仓库路径:skills/video-podcast-maker
安装命令:
npx skills add https://github.com/agents365-ai/video-podcast-maker --skill 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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/agents365-ai/video-podcast-maker --skill 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。

video-podcast-maker 用于辅助视频生成、动画合成与 Remotion 项目开发。适合需要组织镜头脚本、生成素材说明或排查渲染问题的视频制作场景。依赖 remotion-best-practices 技能加载,支持分辨率、时长与导出格式参数配置。

涉及人物肖像或商业发布时,应提前核对版权授权与内容审核要求。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/video-podcast-maker

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/agents365-ai/video-podcast-maker --skill video…;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 npx skills add https://github.com/agents365-ai/video-podcast-maker --skill video-podcast-m…。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 Codex、Claude、Cursor、Gemini CLI。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?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

video-podcast-maker 用的人多吗?

公开数据是累计安装 1,706 次,近一周安装 69 次,下载 535 次,GitHub 649 星。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

  • 同时适配 4 种工具,换客户端不用重新找替代品。

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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。
  • 需要明确授权才能用到公司项目里的场景。
  • 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

1,706649接触敏感数据未明确有提醒

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

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.

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

Agent behavior: Run the pre-flight check below before Step 1. SKILL_DIR must already be resolved (see Auto Update Check section above for resolution rules).

SKILL_DIR="${SKILL_DIR:-${CLAUDE_SKILL_DIR}}"
python3 "${SKILL_DIR}/scripts/check_prereqs.py"

If MISSING reported, 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:

- workflow-script.md — Pre-workflow + Startup + Steps 1-4 (scripting) - workflow-production.md — Steps 5-11 (media, TTS, Remotion, render, BGM) - workflow-publish.md — Steps 12-15 (subtitles, publish, cleanup, shorts)

  • references/design-guide.md: Visual minimums, typography, layout patterns, checklists, animation safety rules. 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/azure-tts-pitfalls.md: Voice selection guide, Multilingual gotchas, SSML pitfalls, style support matrix. Load when choosing Azure voice/style or debugging hoarse/missing/glitchy audio.
  • references/troubleshooting.md: Error fixes, BGM options, preference commands, preference learning. Load on error or user request.
  • templates/presets/kinetic-typography/: Bold type-driven preset (black BG + mint/yellow accents + character-pop animations). Use for opinion / argument / declaration videos. Load README first.
  • examples/: Real production video projects. The agent may reference these for composition structure and timing.json format.

Script suite dispatcher (optional)

All scripts in ${SKILL_DIR}/scripts/ are reachable through one hierarchical entry point:

python3 ${SKILL_DIR}/scripts/cli.py --help                 # list resources
python3 ${SKILL_DIR}/scripts/cli.py <resource> --help      # list actions
python3 ${SKILL_DIR}/scripts/cli.py <resource> <action> --help  # forwards to underlying script
python3 ${SKILL_DIR}/scripts/cli.py schema [<method>]      # JSON parameter schema

Routes (all forward to the existing scripts; direct invocations keep working): tts run|validate, verify, audit beats, shorts gen, design list|show|delete|add, prereqs, prefs get|migrate|backend|bgm-path, schema [<method>].

The dispatcher is optional — every snippet in this file uses the direct script path for back-compat. Agents that prefer one entry point with discoverable help should prefer cli.py.

Pre-render audit (recommended)

Before launching Studio for Step 9 review:

python3 ${SKILL_DIR}/scripts/audit_beat_sync.py <Video.tsx> <timing.json>

Prints a beat-vs-narration alignment table and flags drift > 1.5s. Especially important for kinetic-typography style where each beat must hit a specific narration moment.

End-of-pipeline acceptance gate (MANDATORY)

After Step 13, before declaring the video done:

python3 ${SKILL_DIR}/scripts/verify_output.py videos/{name}/

Auto-fixes common omissions (creates final_video.mp4 if missing; disable with --no-fix), validates resolution/codec/duration, checks audio-timing drift, sanity-checks publish_info.md. Exit 0 = green light to publish; exit 2 = warnings only, still publishable. For machine-readable output add --format json (auto when piped). Full flag reference in references/workflow-publish.md.


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.

# 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.

平台分布

Codex

34.87%
按下载量换算187

Claude

30.68%
按下载量换算164

Cursor

16.79%
按下载量换算90

Gemini CLI

9.33%
按下载量换算50

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

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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