Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Gettr Transcribe
Download audio from a GETTR post or streaming page and transcribe it locally with MLX Whisper on Apple Silicon (with timestamps via VTT). Use when given a GE...
skill openclawclawhub Free
Download audio from a GETTR post or streaming page and transcribe it locally with MLX Whisper on Apple Silicon (with timestamps via VTT). Use when given a GE...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, references/api_reference.md, references/troubleshooting.md, scripts/download_audio.sh, scripts/run_pipeline.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
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
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- Kevin37Li
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Quick start
# 1. Parse the slug from the URL (just read it β no script needed) # https://gettr.com/post/p1abc2def β slug = p1abc2def # https://gettr.com/streaming/p3xyz β slug = p3xyz # 2. Get the audio/video URL via browser automation (see Step 1 below) # For /streaming/ URLs: extract the .m4a audio URL # For /post/ URLs: extract the og:video .m3u8 URL # 3. Run download + transcription pipeline bash scripts/run_pipeline.sh "<AUDIO_OR_VIDEO_URL>" "<SLUG>" To explicitly set the transcription language (recommended for non-English content): bash scripts/run_pipeline.sh --language zh "<AUDIO_OR_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/<slug>/audio.wav ./out/gettr-transcribe/<slug>/audio.vtt Summarization is handled separately by the caller (see your prompt for summarization instructions).
Inputs to confirm
Ask for: GETTR post URL 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 β Parse the slug and pick an output directory
Parse the slug directly from the GETTR URL β just read the last path segment, no script needed: https://gettr.com/post/p1abc2def β slug = p1abc2def https://gettr.com/streaming/p3xyz789 β slug = p3xyz789 Output directory: ./out/gettr-transcribe/<slug>/ Directory structure: ./out/gettr-transcribe/<slug>/audio.wav ./out/gettr-transcribe/<slug>/audio.vtt
Step 1 β Get the audio/video URL via browser automation
Use browser automation to navigate to the GETTR URL and extract the media URL from the rendered DOM. For /streaming/ URLs (primary path) Streaming pages provide a direct .m4a audio download. Extract it by deriving from the og:video meta tag: Navigate to the GETTR streaming URL and wait for the page to fully load (JavaScript must execute) Extract the audio URL via JavaScript: const ogVideo = document.querySelector('meta[property="og:video"]')?.getAttribute("content"); // Replace .m3u8 with /audio.m4a to get the direct audio download URL const audioUrl = ogVideo.replace(".m3u8", "/audio.m4a"); Use the .m4a URL for the pipeline in Step 2 The .m4a URL is a direct file download (no HLS), so it downloads faster and more reliably than the .m3u8 stream. For /post/ URLs (fallback path) Post pages do not have a "Download Audio" button. Extract the og:video URL from the rendered DOM: Navigate to the GETTR post URL and wait for the page to fully load Extract the video URL via JavaScript: document.querySelector('meta[property="og:video"]')?.getAttribute("content"); Use the .m3u8 URL directly 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 URL from their browser.
Step 2 β Run the pipeline (download + transcribe)
Feed the extracted URL and slug into the pipeline: bash scripts/run_pipeline.sh "<AUDIO_OR_VIDEO_URL>" "<SLUG>" To explicitly set the language (recommended when auto-detection fails): bash scripts/run_pipeline.sh --language zh "<AUDIO_OR_VIDEO_URL>" "<SLUG>" The pipeline does two things: Downloads audio as 16kHz mono WAV via ffmpeg (handles both .m4a and .m3u8 inputs) 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. Re-run 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.
Bundled scripts
scripts/run_pipeline.sh: download + transcription pipeline (takes an audio/video URL and slug) scripts/download_audio.sh: download/extract audio from HLS (.m3u8) or direct (.m4a) URL to 16kHz mono WAV
Error handling
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) Download errors Transcription quality issues
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs2 Scripts
- SKILL.md
- README.md
- references/api_reference.md
- references/troubleshooting.md
- scripts/download_audio.sh
- scripts/run_pipeline.sh