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Agent Skill · 开发

explainer-video(讲解视频)

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。

explainer-video 是开发类 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,按安装量在开发类的 21,746 个 Skill 里排第 4,573。

总安装 7,956周安装 325GitHub Stars 公开资料未说明下载 2,548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
0.1.0

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:explainer-video(讲解视频)
来源仓库:https://github.com/0xfango/explainer-video
安装命令:
openclaw skills install explainer-video
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 explainer-video

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于辅助视频生成、动画合成或 Remotion 项目开发。适用于讲解视频制作、镜头组织与渲染问题排查。通过 clawhub 安装并使用 openclaw skills install 命令调用。需确认分辨率、时长与素材路径,注意版权与内容审核要求。

explainer-video 属于开发类 Skill,可作为该场景下的辅助能力补充。

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 explainer-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

explainer-video 怎么安装?

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

explainer-video 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。

explainer-video 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。

explainer-video 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。

explainer-video 用的人多吗?

公开数据是累计安装 7,956 次,近一周安装 325 次,下载 2,548 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。

explainer-video 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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
explainer-video

讲解视频 · 本页

7,956—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
explainer
description
|
metadata
openclaw
emoji
🎬
requires
env
["LISTENHUB_API_KEY"]
primaryEnv
LISTENHUB_API_KEY

When to Use

  • User wants to create an explainer or tutorial video
  • User asks to "explain" something in video form
  • User wants narrated content with AI-generated visuals
  • User says "explainer video", "解说视频", "tutorial video"

When NOT to Use

  • User wants audio-only content without visuals (use /speech or /podcast)
  • User wants a podcast-style discussion (use /podcast)
  • User wants to generate a standalone image (use /image-gen)
  • User wants to read text aloud without video (use /speech)

Purpose

Generate explainer videos that combine a single narrator's voiceover with AI-generated visuals. Ideal for product introductions, concept explanations, and tutorials. Supports text-only script generation or full text + video output.

Hard Constraints

  • No shell scripts. Construct curl commands from the API reference files listed in Resources
  • Always read shared/authentication.md for API key and headers
  • Follow shared/common-patterns.md for polling, errors, and interaction patterns
  • Always read config following shared/config-pattern.md before any interaction
  • Never hardcode speaker IDs — always fetch from the speakers API
  • Never save files to ~/Downloads/ — use .listenhub/explainer/ from config
  • Explainer uses exactly 1 speaker
  • Mode must be info (for Info style) or story (for Story style) — never slides (use /slides skill instead)

<HARD-GATE> Use the AskUserQuestion tool for every multiple-choice step — do NOT print options as plain text. Ask one question at a time. Wait for the user's answer before proceeding to the next step. After all parameters are collected, summarize the choices and ask the user to confirm. Do NOT call any generation API until the user has explicitly confirmed.

</HARD-GATE>

Step -1: API Key Check

Follow shared/config-pattern.md § API Key Check. If the key is missing, stop immediately.

Step 0: Config Setup

Follow shared/config-pattern.md Step 0.

If file doesn't exist — ask location, then create immediately:

mkdir -p ".listenhub/explainer"
echo '{"outputDir":".listenhub","outputMode":"inline","language":null,"defaultStyle":null,"defaultSpeakers":{}}' > ".listenhub/explainer/config.json"
CONFIG_PATH=".listenhub/explainer/config.json"
# (or $HOME/.listenhub/explainer/config.json for global)

Then run Setup Flow below.

If file exists — read config, display summary, and confirm:

当前配置 (explainer):
  输出方式:{inline / download / both}
  语言偏好:{zh / en / 未设置}
  默认风格:{info / story / 未设置}
  默认主播:{speakerName / 未设置}

Ask: "使用已保存的配置?" → 确认,直接继续 / 重新配置

Setup Flow (first run or reconfigure)

Ask these questions in order, then save all answers to config at once:

  1. outputMode: Follow shared/output-mode.md § Setup Flow Question.
  1. Language (optional): "默认语言?"

- "中文 (zh)" - "English (en)" - "每次手动选择" → keep null

  1. Style (optional): "默认风格?"

- "Info — 信息展示型" - "Story — 故事叙述型" - "每次手动选择" → keep null

After collecting answers, save immediately:

# Follow shared/output-mode.md § Save to Config
NEW_CONFIG=$(echo "$CONFIG" | jq --arg m "$OUTPUT_MODE" '. + {"outputMode": $m}')
echo "$NEW_CONFIG" > "$CONFIG_PATH"
CONFIG=$(cat "$CONFIG_PATH")

Note: defaultSpeakers are saved after generation (see After Successful Generation section).

Interaction Flow

Step 1: Topic / Content

Free text input. Ask the user:

What would you like to explain or introduce?

Accept: topic description, text content, or concept to explain.

Step 2: Language

If config.language is set, pre-fill and show in summary — skip this question. Otherwise ask:

Question: "What language?"
Options:
  - "Chinese (zh)" — Content in Mandarin Chinese
  - "English (en)" — Content in English

Step 3: Style

If config.defaultStyle is set, pre-fill and show in summary — skip this question. Otherwise ask:

Question: "What style of explainer?"
Options:
  - "Info" — Informational, factual presentation style
  - "Story" — Narrative, storytelling approach

Step 4: Speaker Selection

Follow shared/speaker-selection.md for the full selection flow, including:

  • Default from config.defaultSpeakers.{language} (skip step if set)
  • Text table + free-text input
  • Input matching and re-prompt on no match

Only 1 speaker is supported for explainer videos.

Step 5: Output Type

Question: "What output do you want?"
Options:
  - "Text script only" — Generate narration script, no video
  - "Text + Video" — Generate full explainer video with AI visuals

Step 6: Confirm & Generate

Summarize all choices:

Ready to generate explainer:

  Topic: {topic}
  Language: {language}
  Style: {info/story}
  Speaker: {speaker name}
  Output: {text only / text + video}

  Proceed?

Wait for explicit confirmation before calling any API.

Workflow

  1. Submit (foreground): POST /storybook/episodes with content, speaker, language, mode → extract episodeId
  2. Tell the user the task is submitted
  3. Poll (background): Run the following exact bash command with run_in_background: true and timeout: 600000. Do NOT use python3, awk, or any other JSON parser — use jq as shown:
   EPISODE_ID="<id-from-step-1>"
   for i in $(seq 1 30); do
     RESULT=$(curl -sS "https://api.marswave.ai/openapi/v1/storybook/episodes/$EPISODE_ID" \
       -H "Authorization: Bearer $LISTENHUB_API_KEY" 2>/dev/null)
     STATUS=$(echo "$RESULT" | tr -d '\000-\037\177' | jq -r '.data.processStatus // "pending"')
     case "$STATUS" in
       success|completed) echo "$RESULT"; exit 0 ;;
       failed|error) echo "FAILED: $RESULT" >&2; exit 1 ;;
       *) sleep 10 ;;
     esac
   done
   echo "TIMEOUT" >&2; exit 2
  1. When notified, download and present script:

Read OUTPUT_MODE from config. Follow shared/output-mode.md for behavior.

inline or both: Present the script inline.

Present:

   解说脚本已生成!

   「{title}」

   在线查看:https://listenhub.ai/app/explainer/{episodeId}

download or both: Also save the script file. - Create .listenhub/explainer/YYYY-MM-DD-{episodeId}/ - Write {episodeId}.md from the generated script content - Present the download path in addition to the above summary.

  1. If video requested: POST /storybook/episodes/{episodeId}/video (foreground) → poll again (background) using the exact bash command below with run_in_background: true and timeout: 600000. Poll for videoStatus, not processStatus:
   EPISODE_ID="<id-from-step-1>"
   for i in $(seq 1 30); do
     RESULT=$(curl -sS "https://api.marswave.ai/openapi/v1/storybook/episodes/$EPISODE_ID" \
       -H "Authorization: Bearer $LISTENHUB_API_KEY" 2>/dev/null)
     STATUS=$(echo "$RESULT" | tr -d '\000-\037\177' | jq -r '.data.videoStatus // "pending"')
     case "$STATUS" in
       success|completed) echo "$RESULT"; exit 0 ;;
       failed|error) echo "FAILED: $RESULT" >&2; exit 1 ;;
       *) sleep 10 ;;
     esac
   done
   echo "TIMEOUT" >&2; exit 2
  1. When notified, download and present result:

Present result

Read OUTPUT_MODE from config. Follow shared/output-mode.md for behavior.

inline or both: Display video URL and audio URL as clickable links.

Present:

解说视频已生成!

视频链接:{videoUrl}
音频链接:{audioUrl}
时长:{duration}s
消耗积分:{credits}

download or both: Also download the audio file.

DATE=$(date +%Y-%m-%d)
JOB_DIR=".listenhub/explainer/${DATE}-{jobId}"
mkdir -p "$JOB_DIR"
curl -sS -o "${JOB_DIR}/{jobId}.mp3" "{audioUrl}"

Present the download path in addition to the above summary.

After Successful Generation

Update config with the choices made this session:

NEW_CONFIG=$(echo "$CONFIG" | jq \
  --arg lang "{language}" \
  --arg style "{info/story}" \
  --arg speakerId "{speakerId}" \
  '. + {"language": $lang, "defaultStyle": $style, "defaultSpeakers": (.defaultSpeakers + {($lang): [$speakerId]})}')
echo "$NEW_CONFIG" > "$CONFIG_PATH"

Estimated times:

  • Text script only: 2-3 minutes
  • Text + Video: 3-5 minutes

API Reference

  • Speaker list: shared/api-speakers.md
  • Speaker selection guide: shared/speaker-selection.md
  • Episode creation: shared/api-storybook.md
  • Polling: shared/common-patterns.md § Async Polling
  • Config pattern: shared/config-pattern.md

Composability

  • Invokes: speakers API (for speaker selection); may invoke /speech for voiceover
  • Invoked by: content-planner (Phase 3)

Example

User: "Create an explainer video introducing Claude Code"

Agent workflow:

  1. Topic: "Claude Code introduction"
  2. Ask language → "English"
  3. Ask style → "Info"
  4. Fetch speakers, user picks "cozy-man-english"
  5. Ask output → "Text + Video"
curl -sS -X POST "https://api.marswave.ai/openapi/v1/storybook/episodes" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "sources": [{"type": "text", "content": "Introduce Claude Code: what it is, key features, and how to get started"}],
    "speakers": [{"speakerId": "cozy-man-english"}],
    "language": "en",
    "mode": "info"
  }'

Poll until text is ready, then generate video if requested.

平台分布

OpenClaw

71.82%
按下载量换算1,830

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

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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