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explainer-video讲解视频

Agent Skill

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。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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