gettr-transcribe-summarize – OpenClaw Skill

---

name: gettr-transcribe-summarize description: Download audio from a GETTR post (via HTML og:video), transcribe it locally with MLX Whisper on Apple Silicon (with timestamps via VTT), and summarize the transcript into bullet points and/or a timestamped outline. Use when given a GETTR post URL and asked to produce a transcript or summary. homepage: https://gettr.com metadata: {"clawdbot":{"emoji":"📺","requires":{"bins":["mlx_whisper","ffmpeg"]},"install":[{"id":"mlx-whisper","kind":"pip","package":"mlx-whisper","bins":["mlx_whisper"],"label":"Install mlx-whisper (pip)"},{"id":"ffmpeg","kind":"brew","formula":"ffmpeg","bins":["ffmpeg"],"label":"Install ffmpeg (brew)"}]}}

Gettr Transcribe + Summarize (MLX Whisper)

Quick start

# 1. Parse the slug from the URL (just read it — no script needed)
#    https://gettr.com/post/p1abc2def  → slug = p1abc2def
#    https://gettr.com/streaming/p3xyz → slug = p3xyz

# 2. Get the video URL
#    For /post/ URLs: use the extraction script
python3 scripts/extract_gettr_og_video.py "<GETTR_POST_URL>"

#    For /streaming/ URLs: use browser automation directly (extraction script is unreliable)
#    See Step 1 below for browser automation instructions

# 3. Run download + transcription pipeline
bash scripts/run_pipeline.sh "<VIDEO_URL>" "<SLUG>"

To explicitly set the transcription language (recommended for non-English content):

bash scripts/run_pipeline.sh --language zh "<VIDEO_URL>" "<SLUG>"

Common language codes: zh (Chinese), en (English), ja (Japanese), ko (Korean), es (Spanish), fr (French), de (German), ru (Russian).

This outputs:

• ./out/gettr-transcribe-summarize/<slug>/audio.wav
• ./out/gettr-transcribe-summarize/<slug>/audio.vtt

Then proceed to Step 3 (Summarize) to generate the final deliverable.

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Workflow (GETTR URL → transcript → summary)

Inputs to confirm

Ask for:

• GETTR post URL
• Output format: bullets only or bullets + timestamped outline
• Summary size: short, medium (default), or detailed
• Language (optional): if the video is non-English and auto-detection fails, ask for the language code (e.g., zh for Chinese)

Notes:

• This skill does not handle authentication-gated GETTR posts.
• This skill does not translate; outputs stay in the video's original language.
• If transcription quality is poor or mixed with English, re-run with explicit --language flag.

Prereqs (local)

• mlx_whisper installed and on PATH
• ffmpeg installed (recommended: brew install ffmpeg)

Step 0 — Parse the slug and pick an output directory

Parse the slug directly from the GETTR URL — just read the last path segment, no script needed:

• https://gettr.com/post/p1abc2def → slug = p1abc2def
• https://gettr.com/streaming/p3xyz789 → slug = p3xyz789

Output directory: ./out/gettr-transcribe-summarize/<slug>/

Directory structure:

• ./out/gettr-transcribe-summarize/<slug>/audio.wav
• ./out/gettr-transcribe-summarize/<slug>/audio.vtt
• ./out/gettr-transcribe-summarize/<slug>/summary.md

Step 1 — Get the video URL

The approach depends on the URL type:

For /post/ URLs — Use the extraction script

Run the extraction script to get the video URL from the post HTML:

python3 scripts/extract_gettr_og_video.py "<GETTR_POST_URL>"

This prints the best candidate video URL (often an HLS .m3u8) to stdout.

If extraction fails, ask the user to provide the .m3u8/MP4 URL directly (common if the post is private/gated or the HTML is dynamic).

For /streaming/ URLs — Use browser automation directly

Do not use the extraction script for streaming URLs. The og:video URL from static HTML extraction is unreliable for streaming content — it either fails outright or the download stalls and fails near the end.

Instead, use browser automation to get a fresh, dynamically-signed URL:

1. Open the GETTR streaming URL and wait for the page to fully load (JavaScript must execute)
2. Extract the og:video meta tag content from the rendered DOM:

   document.querySelector('meta[property="og:video"]').getAttribute('content')
   

3. Use that fresh URL for the pipeline in Step 2

If browser automation is not available or fails, see references/troubleshooting.md for how to guide the user to manually extract the fresh URL from their browser.

Step 2 — Run the pipeline (download + transcribe)

Feed the extracted video URL and slug into the pipeline:

bash scripts/run_pipeline.sh "<VIDEO_URL>" "<SLUG>"

To explicitly set the language (recommended when auto-detection fails):

bash scripts/run_pipeline.sh --language zh "<VIDEO_URL>" "<SLUG>"

The pipeline does two things:

1. Downloads audio as 16kHz mono WAV via ffmpeg
2. Transcribes with MLX Whisper, outputting VTT with timestamps

If the pipeline fails with HTTP 412 (stale signed URL)

This error occurs with /streaming/ URLs when the signed URL has expired. If browser automation returned a stale URL, retry by re-running browser automation to get a fresh URL, then retry the pipeline.

If browser automation is not available or fails, see references/troubleshooting.md for how to guide the user to manually extract the fresh URL from their browser.

Notes:

• By default, language is auto-detected. For non-English content where detection fails, use --language.
• If too slow or memory-heavy, try smaller models: mlx-community/whisper-medium or mlx-community/whisper-small.
• If quality is poor, try the full model: mlx-community/whisper-large-v3 (slower but more accurate).
• If --word-timestamps causes issues, the pipeline retries automatically without it.

Step 3 — Summarize

Write the final deliverable to ./out/gettr-transcribe-summarize/<slug>/summary.md.

Pick a summary size (user-selectable):

• Short: 5–8 bullets; (if outline) 4–6 sections
• Medium (default): 8–20 bullets; (if outline) 6–15 sections
• Detailed: 20–40 bullets; (if outline) 15–30 sections

Include:

• Bullets (per size above)
• Optional timestamped outline (per size above)

Timestamped outline format (default heading style):

[00:00 - 02:15] Section heading
- 1–3 sub-bullets

When building the outline from VTT cues:

• Group adjacent cues into coherent sections.
• Use the start time of the first cue and end time of the last cue in the section.

Bundled scripts

• scripts/run_pipeline.sh: download + transcription pipeline (takes a video URL and slug)
• scripts/extract_gettr_og_video.py: fetch GETTR HTML and extract the og:video URL (with retry/backoff)
• scripts/download_audio.sh: download/extract audio from HLS or MP4 URL to 16kHz mono WAV

Error handling

• Non-video posts: The extraction script detects image/text posts and provides a helpful error message.
• Network errors: Automatic retry with exponential backoff (up to 3 attempts).
• No audio track: The download script validates output and reports if the source has no audio.
• HTTP 412 errors: Occurs with /streaming/ URLs when the signed URL has expired. Re-run browser automation to get a fresh URL (see Step 1); if that fails, see references/troubleshooting.md.

Troubleshooting

See references/troubleshooting.md for detailed solutions to common issues including:

• HTTP 412 errors (stale signed URLs)
• Extraction failures
• Download errors
• Transcription quality issues

Gettr Transcript & Summary

Download audio from a GETTR post, transcribe it locally with MLX Whisper on Apple Silicon, and produce a clean summary or timestamped outline.

What it does

• Extracts audio from a GETTR post (via og:video → 16kHz mono WAV)
• Transcribes locally with MLX Whisper (no API keys required)
• Outputs VTT with timestamps for precise outline generation
• Summarizes into bullets or a timestamped outline

Quick start

# For /post/ URLs: extract the og:video URL via script
python3 scripts/extract_gettr_og_video.py "<GETTR_POST_URL>"

# For /streaming/ URLs: use browser automation directly (see SKILL.md Step 1)
# The extraction script is unreliable for streaming URLs

# Run download + transcription (slug is the last path segment of the URL)
bash scripts/run_pipeline.sh "<VIDEO_URL>" "<SLUG>"

Outputs to ./out/gettr-transcribe-summarize/<slug>/:

• audio.wav – extracted audio
• audio.vtt – timestamped transcript

Prerequisites

• mlx_whisper (pip install mlx-whisper)
• ffmpeg (brew install ffmpeg)

Features

• Auto-detects non-video posts (image/text) with helpful error messages
• Retries network requests with exponential backoff
• Transcribes in original language (auto-detected)
• Prevents hallucination propagation with --condition_on_previous_text False