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auto-editor-transcribe — Claude Code skill: install

Transcribes media or live microphone input into text and subtitles, then cuts sections by spoken words or regex. Useful for speech-based video editing.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add WyattBlue/auto-editor --skill auto-editor-transcribe -a claude-code
Open on GitHub

What auto-editor-transcribe does

The skill runs auto-editor whisper to transcribe a media file or live microphone input. It supports Whisper and NVIDIA Parakeet models in ggml format, plus Apple Speech through the apple model. Output can be plain text, srt, or json, with options for English translation, word-level cues, and file output.

It can then edit a timeline from subtitle content. subtitle and regex match a pattern, while word checks for a whole-word match; wrapping an expression in not reverses the result. When a video has no embedded subtitles, transcribe it to a sidecar such as talk.srt, which auto-editor loads automatically.

Passing :mic streams audio directly and does not save a recording. Apple Speech requires macOS 26 or later, and its first use of a language may need network access to download the speech model. That is worth checking before relying on the Apple backend.

What it helps with

  • transcribe a video or audio file
  • export speech as SRT or JSON subtitles
  • cut silent gaps between spoken sections
  • keep clips where a target word is spoken
  • remove filler words from a video

Example prompts for the agent

  • Transcribe talk.mp4 with ggml-medium.en.bin and save the result as talk.srt.
  • Keep only the parts of lecture.mp4 where the whole word question is spoken.
  • Remove every section containing um from video.mp4 by inverting the match with not.

How to install auto-editor-transcribe

1Skills CLI (Vercel)

npx skills add WyattBlue/auto-editor --skill auto-editor-transcribe -a claude-code

2Manually: put the files in place

~/.claude/skills/auto-editor-transcribe/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/auto-editor-transcribe/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about auto-editor-transcribe

How do I install auto-editor-transcribe in Claude Code?

Run npx skills add WyattBlue/auto-editor --skill auto-editor-transcribe -a claude-code, run the same command again, then check ~/.claude/skills/auto-editor-transcribe/SKILL.md.

What does auto-editor-transcribe do?

It transcribes a media file or live microphone input into text or subtitles, then edits video by matching subtitle text with words, regex patterns, or their inverse.

Which models and systems does the skill support?

Whisper and Parakeet work through ggml models, while apple uses Apple Speech. Apple Speech requires macOS 26 or later; live capture supports macOS, Windows, and Linux.

Source text

SKILL.md · Unlicense
---
name: auto-editor-transcribe
description: Transcribe a media file or live microphone to text or subtitles with auto-editor's whisper subcommand, then edit by spoken content — cut to keep (or drop) sections whose subtitles match a word or regex. Use when someone wants a transcript, captions, live speech transcription, or to cut a video based on what is said rather than on loudness.
---

# Transcribe & edit by speech

Use auto-editor's whisper.cpp (Whisper or NVIDIA Parakeet models) or Apple Speech backend to transcribe audio. Cut a timeline based on subtitle content with `--edit subtitle`/`word`.

## Transcribe — `auto-editor whisper`

```
auto-editor whisper <file|:mic> <model> [options]
```

Set `<model>` to a `ggml` model path. Three backends, chosen by the model:

- **Whisper**: `ggml-small.en.bin`, `ggml-medium.en.bin`, `ggml-large-v3.bin`, …
  (https://huggingface.co/ggerganov/whisper.cpp). 99+ languages, `--translate`,
  `--prompt`.
- **Parakeet**: any model with "parakeet" in the filename, e.g.
  `ggml-parakeet-tdt-0.6b-v3-q8_0.bin` (https://huggingface.co/ggml-org/parakeet-GGUF).
  Faster than Whisper at comparable English accuracy; language is
  auto-detected. `--translate`, `--prompt`, and `--language` are rejected.
- **Apple**: the magic model name `apple` uses Apple's built-in transcriber;
  requires macOS 26 or later.

Only the first audio stream of a file is used. Audio is resampled to 16 kHz, and
text prints to stdout by default.

```bash
auto-editor whisper example.mp4 ggml-medium.en.bin                      # plain text → stdout
auto-editor whisper example.mp4 ggml-medium.en.bin --format srt -o out.srt
auto-editor whisper example.mp4 ggml-parakeet-tdt-0.6b-v3-q8_0.bin      # parakeet backend
auto-editor whisper example.mp4 apple --language en_US                  # macOS 26+
```

Options: `--format text|srt|json`, `-o/--output FILE`, `-l/--language en`
(default auto), `-tr/--translate` (→ English), `-sw/--split-words` (one word per
cue), `--queue SECS` (default 30), `--prompt TEXT`, `--threads N` (default 4),
and `-t/--threshold THRES` (default 0.04).

`--split-words` works with on all backends. Parakeet is the most accurate.

With the `apple` model, set `--language` to a supported language or locale.
Apple speech cannot auto-detect language, so `auto` falls back to `en_US` with a
warning. Do not pass `--translate` or `--prompt`; neither is supported. The first
use of a language may download Apple's speech model and therefore needs network
access.

### Transcribe a live microphone

Pass `:mic` instead of a file. Stop capture gracefully with Ctrl-C.

```bash
auto-editor whisper :mic ggml-medium.en.bin
auto-editor whisper :mic apple --language en_US    # macOS 26+
auto-editor whisper :mic ggml-medium.en.bin -o transcript.srt
```

This streams the microphone directly to transcription and does not save a
media recording. To retain and edit the captured audio, use `auto-editor :mic`;
editor and timeline exports save a sibling lossless-FLAC `_RECORDING.mka` by
default.

Live capture supports macOS, Windows, and Linux:

- macOS uses AVFoundation and prefers a USB microphone, then the system default.
- Windows uses DirectShow and prefers a USB microphone, then the first audio capture device.
- Linux uses the default ALSA input device.

When `-o/--output` ends in `.srt`, `.json`, `.txt`, or `.text`, the output format is
inferred unless `--format` is set explicitly.

## Edit by spoken content

`--edit subtitle`/`word` marks the time a matching subtitle line occupies as
**active** (kept by default). Use an existing subtitle stream, or transcribe to
an `.srt` first and feed it in.

| Method | Active when… | Args (defaults) |
|---|---|---|
| `subtitle` / `regex` | `pattern` (regex) matches a line | `pattern=""` (empty matches every line), `stream=0`, `ignore-case=#f` |
| `word` | `value` appears as a whole word | `value` required, `stream=0`, `ignore-case=#t` |

`pattern` is optional for `subtitle`/`regex`: with none, the empty regex matches
every subtitle line, so `--edit subtitle` keeps all sections that have a subtitle
(i.e. cut everything with no speech). `word`, by contrast, requires a `value`.

```bash
# Keep only sections that have any subtitle (cut the silent gaps between speech)
auto-editor talk.mkv --edit subtitle

# Keep only sections where "introduction" is spoken
auto-editor lecture.mp4 --edit word:introduction

# Regex match (case-insensitive); keep matched lines
auto-editor talk.mkv --edit "subtitle:pattern=(yes|no),ignore-case=#t"

# Cut filler words instead of keeping them: invert with `not`
auto-editor video.mp4 --edit "(not word:um)"
```

### Transcribe → cut workflow

When the media has no subtitle stream, generate a **sidecar** named after the
input — for `talk.mp4`, auto-editor auto-loads `talk.srt` (then `talk.ass`) when
the requested subtitle stream isn't embedded:

```bash
auto-editor whisper talk.mp4 ggml-medium.en.bin --format srt -o talk.srt
auto-editor talk.mp4 --edit word:question        # picks up talk.srt automatically
```

Inspect subtitle streams with `auto-editor subdump FILE` (text subtitles only;
bitmap subtitles won't dump).

For loudness/motion-based cutting and pace, see the **auto-editor** skill.

© WyattBlue · Unlicense · WyattBlue/auto-editor

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