SIMONSKILL DIRECTORY
Personal skills/Audio Transcribe

SIMON / PERSONAL · MIT

Local audio transcription

A local audio transcription, batch processing and subtitle workflow built around OpenAI Whisper.

Workflow and wrapper by Simon Lin; underlying tools and models belong to their upstream projects.

01 / REQUIREMENTS

Before you start

Python, ffmpeg and openai-whisper; model downloads are required separately.

  • Single-file and subtitle workflow
  • Batch and failure tracking guidance
  • Audio quality and human review limits

02 / INSTALL

Install and use

unzip audio-transcribe-v1.1.0.zip -d ./skill-install
mkdir -p "$HOME/.agents/skills/audio-transcribe"
cp -R ./skill-install/audio-transcribe/. "$HOME/.agents/skills/audio-transcribe/"

For Claude Code, use .claude/skills instead of .agents/skills. For other clients, follow their loading convention. Keep commands consistent with your actual install path, then read SKILL.md and THIRD-PARTY.md.

This is workflow documentation. Prepare the environment, check whisper --help, and process authorized media as described in SKILL.md.

No dependencies, model weights, accounts, authentication or media are bundled. Upstream services may have their own costs and usage limits.

03 / UPSTREAM & LICENSE

Attribution and checks

Original documents and wrappers: MIT, copyright PhoenixTree Holdings Limited; author Simon Lin. Upstream licenses and model terms remain separate.

Original package snapshot: 2026-08-18. Free distribution: 2026-10-22. Documentation, script syntax, file inventory and archive integrity checked on 2026-10-22 (Asia/Singapore). Full model/browser workflows and all-client compatibility were not rerun.

Package files

  • LICENSE.txt1115 B
  • README.md2826 B
  • SKILL.md2251 B
  • THIRD-PARTY.md230 B