# Send TubeScribe to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "tubescribe",
    "name": "TubeScribe",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/matusvojtek/tubescribe",
    "canonicalUrl": "https://clawhub.ai/matusvojtek/tubescribe",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/tubescribe",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=tubescribe",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "CHANGELOG.md",
      "README.md",
      "SKILL.md",
      "scripts/config.py",
      "scripts/html_writer.py",
      "scripts/setup.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-07T17:22:31.273Z",
      "expiresAt": "2026-05-14T17:22:31.273Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report",
        "contentDisposition": "attachment; filename=\"afrexai-annual-report-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/tubescribe"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/tubescribe",
    "downloadUrl": "https://openagent3.xyz/downloads/tubescribe",
    "agentUrl": "https://openagent3.xyz/skills/tubescribe/agent",
    "manifestUrl": "https://openagent3.xyz/skills/tubescribe/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/tubescribe/agent.md"
  }
}
```
## Documentation

### TubeScribe 🎬

Turn any YouTube video into a polished document + audio summary.

Drop a YouTube link → get a beautiful transcript with speaker labels, key quotes, timestamps that link back to the video, and an audio summary you can listen to on the go.

### 💸 Free & No Paid APIs

No subscriptions or API keys — works out of the box
Local processing — transcription, speaker detection, and TTS run on your machine
Network access — fetching from YouTube (captions, metadata, comments) requires internet
No data uploaded — nothing is sent to external services; all processing stays on your machine
Safe sub-agent — spawned sub-agent has strict instructions: no software installation, no network calls beyond YouTube

### ✨ Features

📄 Transcript with summary and key quotes — Export as DOCX, HTML, or Markdown
🎯 Smart Speaker Detection — Automatically identifies participants
🔊 Audio Summaries — Listen to key points (MP3/WAV)
📝 Clickable Timestamps — Every quote links directly to that moment in the video
💬 YouTube Comments — Viewer sentiment analysis and best comments
📋 Queue Support — Send multiple links, they get processed in order
🚀 Non-Blocking Workflow — Conversation continues while video processes in background

### 🎬 Works With Any Video

Interviews & podcasts (multi-speaker detection)
Lectures & tutorials (single speaker)
Music videos (lyrics extraction)
News & documentaries
Any YouTube content with captions

### Quick Start

When user sends a YouTube URL:

Spawn sub-agent with the full pipeline task immediately
Reply: "🎬 TubeScribe is processing — I'll let you know when it's ready!"
Continue conversation (don't wait!)
Sub-agent notification will announce completion with title and details

DO NOT BLOCK — spawn and move on instantly.

### First-Time Setup

Run setup to check dependencies and configure defaults:

python skills/tubescribe/scripts/setup.py

This checks: summarize CLI, pandoc, ffmpeg, Kokoro TTS

### Full Workflow (Single Sub-Agent)

Spawn ONE sub-agent that does the entire pipeline:

sessions_spawn(
    task=f"""
## TubeScribe: Process {youtube_url}

⚠️ CRITICAL: Do NOT install any software.
No pip, brew, curl, venv, or binary downloads.
If a tool is missing, STOP and report what's needed.

Run the COMPLETE pipeline — do not stop until all steps are done.

### Step 1: Extract
\`\`\`bash
python3 skills/tubescribe/scripts/tubescribe.py "{youtube_url}"

Note the Source and Output paths printed by the script. Use those exact paths in subsequent steps.

### Step 2: Read source JSON

Read the Source path from Step 1 output and note:

metadata.title (for filename)
metadata.video_id
metadata.channel, upload_date, duration_string

### Step 3: Create formatted markdown

Write to the Output path from Step 1:

# **<title>**

Video info block — Channel, Date, Duration, URL (clickable). Empty line between each field.

## **Participants** — table with bold headers:
| **Name** | **Role** | **Description** |
|----------|----------|-----------------|

## **Summary** — 3-5 paragraphs of prose

## **Key Quotes** — 5 best with clickable YouTube timestamps. Format each as:
"Quote text here." - [12:34](https://www.youtube.com/watch?v=ID&t=754s)

"Another quote." - [25:10](https://www.youtube.com/watch?v=ID&t=1510s)

Use regular dash -, NOT em dash —. Do NOT use blockquotes >. Plain paragraphs only.

## **Viewer Sentiment** (if comments exist)

## **Best Comments** (if comments exist) — Top 5, NO lines between them:
Comment text here.

*- ▲ 123 @AuthorName*

Next comment text here.

*- ▲ 45 @AnotherAuthor*

Attribution line: dash + italic. Just blank line between comments, NO --- separators.

## **Full Transcript** — merge segments, speaker labels, clickable timestamps

### Step 4: Create DOCX

Clean the title for filename (remove special chars), then:

pandoc <output_path> -o ~/Documents/TubeScribe/<safe_title>.docx

### Step 5: Generate audio

Write the summary text to a temp file, then use TubeScribe's built-in audio generation:

# Write summary to temp file (use python3 to write, avoids shell escaping issues)
python3 -c "
text = '''YOUR SUMMARY TEXT HERE'''
with open('<temp_dir>/tubescribe_<video_id>_summary.txt', 'w') as f:
    f.write(text)
"

# Generate audio (auto-detects engine, voice, format from config)
python3 skills/tubescribe/scripts/tubescribe.py \\
  --generate-audio <temp_dir>/tubescribe_<video_id>_summary.txt \\
  --audio-output ~/Documents/TubeScribe/<safe_title>_summary

This reads ~/.tubescribe/config.json and uses the configured TTS engine (mlx/kokoro/builtin), voice blend, and speed automatically. Output format (mp3/wav) comes from config.

### Step 6: Cleanup

python3 skills/tubescribe/scripts/tubescribe.py --cleanup <video_id>

### Step 7: Open folder

open ~/Documents/TubeScribe/

### Report

Tell what was created: DOCX name, MP3 name + duration, video stats.
""",
label="tubescribe",
runTimeoutSeconds=900,
cleanup="delete"
)

**After spawning, reply immediately:**
> 🎬 TubeScribe is processing - I'll let you know when it's ready!
Then continue the conversation. The sub-agent notification announces completion.

## Configuration

Config file: \`~/.tubescribe/config.json\`

\`\`\`json
{
  "output": {
    "folder": "~/Documents/TubeScribe",
    "open_folder_after": true,
    "open_document_after": false,
    "open_audio_after": false
  },
  "document": {
    "format": "docx",
    "engine": "pandoc"
  },
  "audio": {
    "enabled": true,
    "format": "mp3",
    "tts_engine": "mlx"
  },
  "mlx_audio": {
    "path": "~/.openclaw/tools/mlx-audio",
    "model": "mlx-community/Kokoro-82M-bf16",
    "voice": "af_heart",
    "lang_code": "a",
    "speed": 1.05
  },
  "kokoro": {
    "path": "~/.openclaw/tools/kokoro",
    "voice_blend": { "af_heart": 0.6, "af_sky": 0.4 },
    "speed": 1.05
  },
  "processing": {
    "subagent_timeout": 600,
    "cleanup_temp_files": true
  }
}

### Output Options

OptionDefaultDescriptionoutput.folder~/Documents/TubeScribeWhere to save filesoutput.open_folder_aftertrueOpen output folder when doneoutput.open_document_afterfalseAuto-open generated documentoutput.open_audio_afterfalseAuto-open generated audio summary

### Document Options

OptionDefaultValuesDescriptiondocument.formatdocxdocx, html, mdOutput formatdocument.enginepandocpandocConverter for DOCX (falls back to HTML)

### Audio Options

OptionDefaultValuesDescriptionaudio.enabledtruetrue, falseGenerate audio summaryaudio.formatmp3mp3, wavAudio format (mp3 needs ffmpeg)audio.tts_enginemlxmlx, kokoro, builtinTTS engine (mlx = fastest on Apple Silicon)

### MLX-Audio Options (preferred on Apple Silicon)

OptionDefaultDescriptionmlx_audio.path~/.openclaw/tools/mlx-audiomlx-audio venv locationmlx_audio.modelmlx-community/Kokoro-82M-bf16MLX model to usemlx_audio.voiceaf_heartVoice preset (used if no voice_blend)mlx_audio.voice_blend{af_heart: 0.6, af_sky: 0.4}Custom voice mix (weighted blend)mlx_audio.lang_codeaLanguage code (a=US English)mlx_audio.speed1.05Playback speed (1.0 = normal, 1.05 = 5% faster)

### Kokoro PyTorch Options (fallback)

OptionDefaultDescriptionkokoro.path~/.openclaw/tools/kokoroKokoro repo locationkokoro.voice_blend{af_heart: 0.6, af_sky: 0.4}Custom voice mixkokoro.speed1.05Playback speed (1.0 = normal, 1.05 = 5% faster)

### Processing Options

OptionDefaultDescriptionprocessing.subagent_timeout600Seconds for sub-agent (increase for long videos)processing.cleanup_temp_filestrueRemove /tmp files after completion

### Comment Options

OptionDefaultDescriptioncomments.max_count50Number of comments to fetchcomments.timeout90Timeout for comment fetching (seconds)

### Queue Options

OptionDefaultDescriptionqueue.stale_minutes30Consider a processing job stale after this many minutes

### Output Structure

~/Documents/TubeScribe/
├── {Video Title}.html         # Formatted document (or .docx / .md)
└── {Video Title}_summary.mp3  # Audio summary (or .wav)

After generation, opens the folder (not individual files) so you can access everything.

### Dependencies

Required:

summarize CLI — brew install steipete/tap/summarize
Python 3.8+

Optional (better quality):

pandoc — DOCX output: brew install pandoc
ffmpeg — MP3 audio: brew install ffmpeg
yt-dlp — YouTube comments: brew install yt-dlp
mlx-audio — Fastest TTS on Apple Silicon: pip install mlx-audio (uses MLX backend for Kokoro)
Kokoro TTS — PyTorch fallback: see https://github.com/hexgrad/kokoro

### yt-dlp Search Paths

TubeScribe checks these locations (in order):

PriorityPathSource1which yt-dlpSystem PATH2/opt/homebrew/bin/yt-dlpHomebrew (Apple Silicon)3/usr/local/bin/yt-dlpHomebrew (Intel) / Linux4~/.local/bin/yt-dlppip install --user5~/.local/pipx/venvs/yt-dlp/bin/yt-dlppipx6~/.openclaw/tools/yt-dlp/yt-dlpTubeScribe auto-install

If not found, setup downloads a standalone binary to the tools directory.
The tools directory version doesn't conflict with system installations.

### Queue Handling

When user sends multiple YouTube URLs while one is processing:

### Check Before Starting

python skills/tubescribe/scripts/tubescribe.py --queue-status

### If Already Processing

# Add to queue instead of starting parallel processing
python skills/tubescribe/scripts/tubescribe.py --queue-add "NEW_URL"
# → Replies: "📋 Added to queue (position 2)"

### After Completion

# Check if more in queue
python skills/tubescribe/scripts/tubescribe.py --queue-next
# → Automatically pops and processes next URL

### Queue Commands

CommandDescription--queue-statusShow what's processing + queued items--queue-add URLAdd URL to queue--queue-nextProcess next item from queue--queue-clearClear entire queue

### Batch Processing (multiple URLs at once)

python skills/tubescribe/scripts/tubescribe.py url1 url2 url3

Processes all URLs sequentially with a summary at the end.

### Error Handling

The script detects and reports these errors with clear messages:

ErrorMessageInvalid URL❌ Not a valid YouTube URLPrivate video❌ Video is private — can't accessVideo removed❌ Video not found or removedNo captions❌ No captions available for this videoAge-restricted❌ Age-restricted video — can't access without loginRegion-blocked❌ Video blocked in your regionLive stream❌ Live streams not supported — wait until it endsNetwork error❌ Network error — check your connectionTimeout❌ Request timed out — try again later

When an error occurs, report it to the user and don't proceed with that video.

### Tips

For long videos (>30 min), increase sub-agent timeout to 900s
Speaker detection works best with clear interview/podcast formats
Single-speaker videos (tutorials, lectures) skip speaker labels automatically
Timestamps link directly to YouTube at that moment
Use batch mode for multiple videos: tubescribe url1 url2 url3
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: matusvojtek
- Version: 1.1.8
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-05-07T17:22:31.273Z
- Expires at: 2026-05-14T17:22:31.273Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/tubescribe)
- [Send to Agent page](https://openagent3.xyz/skills/tubescribe/agent)
- [JSON manifest](https://openagent3.xyz/skills/tubescribe/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/tubescribe/agent.md)
- [Download page](https://openagent3.xyz/downloads/tubescribe)