Toolverse
All skills

gettr-transcribe-summarize

by openclaw

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

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
openclaw
Category
Frontend

About this skill

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.

How to use

  1. Zainstaluj wymagane zależności: mlx-whisper (przez pip) i ffmpeg (przez brew). Sprawdź, czy oba narzędzia są dostępne w wierszu poleceń.

  2. Przygotuj adres URL postu GETTR — może to być link do zwykłego postu (gettr.com/post/...) lub transmisji na żywo (gettr.com/streaming/...).

  3. Wyodrębnij identyfikator postu (slug) z adresu URL — to ciąg znaków po ostatnim ukośniku, np. p1abc2def.

  4. Pobierz adres URL wideo z postu, uruchamiając skrypt: python3 scripts/extract_gettr_og_video.py "ADRES_URL_POSTU". Dla transmisji na żywo może być konieczne użycie automatyzacji przeglądarki.

  5. Uruchom pipeline transkrypcji i pobierania: bash scripts/run_pipeline.sh "ADRES_URL_WIDEO" "SLUG". Jeśli treść nie jest w języku angielskim, dodaj flagę --language (np. --language zh dla chińskiego).

  6. Czekaj na zakończenie przetwarzania — wynik to transkrypcja w formacie VTT ze znacznikami czasowymi oraz plik audio w formacie WAV. Następnie możesz wygenerować streszczenie w postaci punków lub czasowego planu na podstawie transkrypcji.

Related skills

web-research

by langchain-ai

Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research

Frontend
18114

livewire-development

by spatie

Develops reactive Livewire 4 components. Activates when creating, updating, or modifying Livewire components; working with wire:model, wire:click, wire:loading, or any wire: directives; adding real-time updates, loading states, or reactivity; debugging component behavior;

Frontend
2335

markitdown

by K-Dense-AI

Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting documents to markdown, extracting text from PDFs/Office files, transcribing audio, performing OCR on images, extracting

Frontend
75173

angular

by sickn33

Modern Angular (v20+) expert with deep knowledge of Signals, Standalone Components, Zoneless applications, SSR/Hydration, and reactive patterns. Use PROACTIVELY for Angular development, component architecture, state management, performance optimization, and migration to modern

Frontend
2656

better-icons

by better-auth

Use when working with icons in any project. Provides CLI for searching 200+ icon libraries (Iconify) and retrieving SVGs. Commands: `better-icons search u003cqueryu003e` to find icons, `better-icons get u003cidu003e` to get SVG. Also available as MCP server for AI agents.

Frontend
2037

screenshot-to-code

by OneWave-AI

Convert UI screenshots into working HTML/CSS/React/Vue code. Detects design patterns, components, and generates responsive layouts. Use this when users provide screenshots of websites, apps, or UI designs and want code implementation.

Frontend
94209