Douyin Video Analysis

抖音视频分析流水线：输入抖音链接后，自动/半自动抓取页面信息与音频、转写口播、总结内容、提取有用信息与对应证据、进行批判性思维分析，并把转写与分析结果写入 Obsidian。 / Analyze a Douyin video from a shared URL by extracting page metadat...

Use this skill when the user gives a Douyin video URL and wants:

• the real video topic/content extracted
• the title and hook analyzed
• audio downloaded from the page if possible
• audio transcribed into readable Chinese text
• critical thinking analysis of the script/content
• results saved into Obsidian notes

Scope

This skill is for analysis and note capture, not reposting or bulk scraping.

Inputs

Expected user input:

• a Douyin short URL or full video URL
• optional analysis focus, such as:
  • whether the copy is AI-generated
  • title strategy
  • persuasion methods
  • logical flaws / manipulation / exaggeration

Output contract

Produce:

1. short status update in chat
2. transcript note in Obsidian
3. analysis note in Obsidian
4. final chat summary with note paths

Workflow

1. Resolve the real video page

• Open the Douyin URL in Chrome if needed.
• Extract:
  • canonical video URL
  • title
  • description
  • account name
  • visible chapter points / page text
• Be explicit about what came from page metadata vs full transcript.

2. Extract media URLs if possible

• Prefer reading browser performance resources from the actual loaded page.
• Capture candidate audio/video stream URLs.
• If direct download gets 403, retry with browser-derived headers/cookies when available.
• Save temporary files under /tmp/douyin_transcribe/.

3. Transcribe audio

• Prefer a local/offline path.
• Current practical path on this machine:
  • Python venv in /tmp/douyin_transcribe/venv
  • mlx-whisper
• First pass:
  • use a smaller model to get a usable draft quickly
• If needed:
  • do a second pass or manual cleanup for readability
• Clearly label transcript status:
  • raw machine transcript
  • cleaned readable version
  • final polished version

4. Summarize before criticizing

Before any critical-thinking judgment, always do these two steps:

A. Content summary

• produce a concise summary of what the video actually says
• separate hook / core claim / support / conclusion
• avoid mixing your judgment into the summary

B. Useful information + evidence extraction

List the video's actually useful information and pair each item with the evidence the video itself provides. For each item, give an initial confidence judgment:

• high
• medium
• low

This prevents the analysis from becoming pure attitude.

5. Analyze critically

Always cover, unless the user narrows scope:

• what the video is actually saying
• whether the title/hook exaggerates or distorts the case
• whether the script appears AI-generated / AI-assisted / human-written
• emotional triggers used
• hidden assumptions
• survivorship bias / overgeneralization / false lessons
• what is genuinely useful vs what is manipulative or shallow

6. Save into Obsidian

Default destination:

• transcript note → OpenClaw/Inbox/YYYY-MM-DD 抖音视频口播转写 - <topic>.md
• analysis note → OpenClaw/Inbox/YYYY-MM-DD 抖音视频分析 - <topic>.md

Include:

• source URL
• canonical URL
• account name if available
• what was directly obtained vs inferred
• transcript quality warning if imperfect

Response rules

• Never pretend a full transcript was obtained if only page metadata was captured.
• If only metadata is available, say so plainly.
• Distinguish between:
  • page title/description analysis
  • full script analysis
• Prefer usefulness over theatrical certainty.

Local implementation notes

Useful browser path

• Probe browser bridge
• Use macOS Chrome bridge to:
  • open the page
  • evaluate page JS
  • inspect visible text
  • inspect performance.getEntriesByType("resource")

Useful temporary files

• /tmp/douyin_transcribe/audio*.mp4
• /tmp/douyin_transcribe/venv

Suggested helper scripts

A. Grab page and audio

python3 /Users/bobzhong/.openclaw/workspace/skills/douyin-video-analysis/helpers/douyin_grab.py '<douyin-url>'

It will:

• open the Douyin page in Chrome
• fetch page metadata from the loaded Chrome tab
• extract candidate media URLs
• attempt authenticated audio download via curl with copied headers/cookies
• return JSON containing canonical URL, title, body preview, audio URL, and local audio path

B. Transcribe and create notes

python3 /Users/bobzhong/.openclaw/workspace/skills/douyin-video-analysis/helpers/transcribe_and_note.py \
  --audio-file /tmp/douyin_transcribe/audio_latest.mp4 \
  --title '<video-title>' \
  --source-url '<shared-url>' \
  --page-url '<canonical-url>' \
  --account '<creator>' \
  --topic '<short-topic>'

It will:

• transcribe the local audio with mlx-whisper
• create a transcript note in Obsidian
• create an analysis-note skeleton in Obsidian
• return both note paths as JSON

Limits

• Some videos may block direct media download.
• Machine transcripts may contain proper noun and number errors.
• Large-model transcription may be slow; start fast, then refine if needed.

When done

Tell the user:

• whether transcript is metadata-only / rough transcript / cleaned transcript
• where the notes were saved
• whether further cleanup would materially improve the analysis