What problem does it solve? Converting audio and video recordings into text transcripts and attaching them to task workflows is manual and error-prone. This Skill automates transcription across multiple backends and records the result as structured evidence tied to a task ID. ## Core Features & Use Cases - Multi-backend transcription: Automatically detects and uses whisper.cpp, insanely-fast-whisper, faster-whisper, openai-whisper, or cloud APIs (OpenAI, Deepgram, AssemblyAI) based on availability. - Video audio extraction: Extracts audio tracks from mp4, webm, and mkv files using ffmpeg before transcription. - Evidence recording: Attaches transcript summaries to a task ID with a role label via the evidence CLI, with a transcription-pending fallback when no backend exists. - Use Case: A QA engineer records a bug walkthrough video, then runs the script to transcribe it and attach the transcript as evidence to the corresponding task for audit purposes. ## Quick Start Transcribe the file demo-recording.mp4 and attach the transcript as evidence to task TASK-123 with the qa role.