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clawlite-video-content-engine

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中文：将 YouTube 视频转化为 ClawLite 营销资产的内容引擎，覆盖摘要、短视频脚本、X thread 与博客输出，支持知识型内容复用与渠道化分发。 日本語：YouTube動画をClawLite向け教育・マーケ配信資産へ再構成。要約、短尺動画、Xスレッド、ブログ出力まで一貫して最適化。 한국어：YouTube 영상을 ClawLite 마케팅 자산으로 재가공하는 콘텐츠 엔진. 요약, 숏폼, X 스레드, 블로그 산출물을 일괄 생성해 채널 확장을 지원. Español：Convierte videos de YouTube en activos de marketing para ClawLite: resumen, guion short-form, hilos de X y posts de blog para reutilización escalable del contenido.

Install

openclaw skills install clawlite-video-content-engine

ClawLite Video Content Engine

Use this skill to convert third-party educational videos into ClawLite-compatible educational marketing content.

Core principle:

  • do not treat source videos as raw material for plagiarism or blind reposting
  • treat source videos as learning inputs that become:
    • beginner summaries
    • practical takeaways
    • explainer shorts
    • X threads
    • LinkedIn/Facebook posts
    • short blog summaries
    • soft ClawLite bridge content

Outcome

Turn one source video into a content pack:

  • 1 source summary
  • 1 beginner translation
  • 1 short-form video script
  • 1 X thread
  • 1 LinkedIn/Facebook post
  • 1 short blog summary
  • 1 CTA bridge to ClawLite

Output location rule

Write outputs to a stable folder so the workflow is reusable and auditable.

Recommended structure:

video-content/
  <videoId>/
    raw-transcript.md
    notebooklm-summary.md
    jk-marketing-asset.md
    source-note.md
    short-video-script.md
    x-thread.md
    linkedin-post.md
    blog-summary.md
    metadata.json

At minimum, write:

  • notebooklm-summary.md
  • jk-marketing-asset.md
  • source-note.md
  • short-video-script.md
  • x-thread.md
  • blog-summary.md
  • metadata.json

Workflow

Normalization rule

NotebookLM output is not the final downstream input. It must be normalized into a JK / marketing-assets layer before Elon, Tony, or Jenny consume it.

Use this chain:

  • YouTube / transcript source
  • raw extraction layer (for example yt-dlp)
  • NotebookLM understanding layer
  • JK marketing asset layer
  • Elon / Tony / Jenny execution outputs

1. Capture the source video context

Record:

  • title
  • creator
  • URL
  • publish date if useful
  • duration
  • main topic
  • likely beginner pain point

If NotebookLM is available, use it for transcript + summary extraction. If NotebookLM is unavailable, create the structure manually from transcript/notes.

When using NotebookLM UI automation:

  • use a screenshot-first workflow
  • verify the exact input field before typing
  • avoid generic textarea selectors
  • confirm source creation before moving to content generation

Read references/notebooklm-automation-guide.md before automating NotebookLM.

2. Build a source note

Create a structured source note with:

  • what the video is about
  • 3 key takeaways
  • strongest quote or idea
  • why it matters for beginners
  • where setup friction appears
  • how ClawLite naturally bridges the gap

Read references/source-note-template.md when building the note.

3. Normalize into JK marketing assets

Convert the source + NotebookLM understanding into a reusable asset note for downstream lanes.

The JK asset should include:

  • source context
  • pain point
  • beginner misunderstanding
  • 3 key takeaways
  • strongest idea / quote
  • angle candidates
  • hook candidates
  • ClawLite bridge
  • Elon social angle
  • Tony blog angle
  • Jenny lifecycle angle
  • source / proof lines

This asset layer should become the shared substrate for downstream content generation.

Read references/jk-marketing-asset-template.md when building this layer.

4. Translate the source into ClawLite angles

Do not simply restate the creator video. Create one or more of these angles:

  • beginner translation
  • practical summary
  • “what matters most” summary
  • “3 takeaways” summary
  • “too long, didn’t watch” summary
  • setup-friction reframing

Read references/angle-framework.md when choosing the angle.

5. Create the short-video script

Write a 30–90 second short video script with:

  • hook
  • 2–3 insights
  • beginner framing
  • soft ClawLite bridge
  • CTA

Prefer:

  • educational tone
  • real user pain
  • concise and clear subtitles
  • no hard sell in the first half

Read references/short-video-template.md when writing the script.

6. Expand into a multi-channel content pack

Derive from the same source note and JK marketing asset:

  • X thread
  • LinkedIn/Facebook post
  • short blog summary
  • optional newsletter blurb

Read references/content-pack-template.md for the output structure.

7. Promote inbox assets into formal marketing-assets

Do not leave all value trapped in a one-off source folder. After building the JK asset, normalize reusable pieces into the shared marketing-assets layer.

Typical destinations:

  • pain points → 02-pain-points/
  • hooks → 01-hooks/
  • angles → 06-angles/
  • proof/source lines → 03-proof-points/
  • CTA lines → 07-cta/

Rule:

  • inbox/source asset = working note
  • marketing-assets = durable shared substrate

At minimum, extract from the JK asset:

  • reusable pain lines
  • reusable hooks
  • reusable angle lines
  • source-backed proof lines

Read references/asset-promotion-guide.md before promoting shared assets.

8. Keep the content compliant

Always:

  • attribute the source creator/video
  • add original explanation and framing
  • avoid copying long transcript passages
  • avoid heavy reuse of original video/audio
  • keep the result in commentary/education territory, not mirror-reposting

Read references/compliance-and-positioning.md before finalizing publishable outputs.

ClawLite bridge rules

Use soft bridges such as:

  • “The concept is powerful. The usual blocker is setup friction.”
  • “If you want to try this without the setup pain, start with ClawLite.”
  • “This is the idea. ClawLite makes the first step easier.”

Avoid:

  • overclaiming
  • hijacking the creator’s work into a hard product ad
  • turning every summary into aggressive CTA spam

Recommended output order

  1. source note
  2. beginner translation
  3. short-video script
  4. X thread
  5. LinkedIn/Facebook post
  6. short blog summary
  7. ClawLite CTA bridge

Example use case

If given a source video like https://www.youtube.com/watch?v=fd4k16REDOU, produce:

  • a summary note
  • 3 key beginner takeaways
  • a 45-second short script
  • a ClawLite bridge angle
  • a thread/post/blog content pack

NotebookLM automation layer

Use NotebookLM as the ingestion layer, not the final content layer. Its job is to help extract:

  • transcript understanding
  • summaries
  • section structure
  • notes and source context

Your real output should still be a ClawLite content pack.

When automating NotebookLM:

  • screenshot before every action
  • verify the modal/input target before typing
  • avoid the sidebar search textarea
  • re-dispatch input/change events when UI state does not update
  • verify that the source was actually added before continuing

Read references/notebooklm-automation-guide.md before doing any NotebookLM UI automation.

Read next when needed

  • references/source-note-template.md
  • references/jk-marketing-asset-template.md
  • references/angle-framework.md
  • references/short-video-template.md
  • references/content-pack-template.md
  • references/asset-promotion-guide.md
  • references/compliance-and-positioning.md
  • references/notebooklm-automation-guide.md