Transcribe Media: Open-Source Skill for YouTube, Podcast & Local Audio/Video
Transcribe Media is an open-source OpenClaw skill designed to pull text from YouTube videos, podcast episodes, public media links, and local audio or video files. It first attempts to grab existing captions or official transcripts, and only falls back to transcription when none are available. The resulting text can feed into summaries, content-based questions, fact extraction, quotes, topics, and action items.
How It Works
The skill prioritizes existing captions or transcripts, which saves time and tokens. If none exist, it transcribes the media. Supported local formats include MP3, MP4, WAV, M4A, WebM, and others.
Key Details
- Remote transcription requires explicit approval — the skill will not process remote media without user consent.
- VoiceFlow deletes uploaded media after transcription completes — no lingering copies.
- Cleanup guarantee: In case of interrupted cleanup, a private-storage lifecycle policy removes files within 2–3 days.
Where to Get It
The skill is available on both ClawHub and GitHub:
- ClawHub: https://clawhub.ai/niuzb/skills/transcribe-media
- GitHub: https://github.com/niuzb/transcribe-media
This is a practical utility for OpenClaw users who regularly work with media content and need structured text for analysis or note-taking.
📖 Read the full source: r/openclaw
👀 See Also
Skill Seekers v3.2.0 adds YouTube tutorial extraction for Claude skills
Skill Seekers v3.2.0 now extracts content from YouTube tutorials to create structured SKILL.md files for Claude. The tool uses a two-pass AI enhancement workflow to clean OCR output and generate usable documentation from video content.
Local LLM Performance Benchmarks on Mac Mini with OpenClaw and LM Studio
A Reddit user posted performance figures for running the Unsloth gpt-oss-20b-Q4_K_S.gguf model locally on a Mac Mini with 32GB RAM, achieving 34 tokens/second with a 0.7 second time to first token using OpenClaw 2026.3.8 and LM Studio 0.4.6+1.
FixAI Dev: A Consumer Rights Game Using Claude Haiku with Strict JSON Contracts
A developer built a browser game where Claude Haiku acts as a corporate AI denying consumer requests; players argue using real consumer protection laws across 37 cases in EU, US, UK, and Australia. The architecture uses Haiku for language only, with server-side game logic and strict JSON contracts between components.
Logic Virtual Machine: A Prompt-Based System to Halt LLM Reasoning Collapses
A researcher has developed a Logic Virtual Machine (LVM) prompt that forces LLMs to halt and report specific collapse modes when they encounter paradoxes or reasoning drift, based on a single stability law: K(σ) ⇒ K(β(σ)). The prompt is substrate-independent and works on models like Grok and Claude.