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transcribe

Create clean, subtitle-ready `.srt` subtitles for a local audio or video file using Whisper CLI.

Skill by bholmesdev

IndexedMIT★ 179
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/bholmesdev-transcribe

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About

Create clean, subtitle-ready `.srt` subtitles for a local audio or video file using Whisper CLI. Use this when the user asks to transcribe a local media file, generate subtitles, create captions, or make an `.srt` for a specific local file path.

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/transcribe

What's inside

Skill name
transcribe
Description
Create clean, subtitle-ready `.srt` subtitles for a local audio or video file using Whisper CLI. Use this when the user asks to transcribe a local media file, generate subtitles, create captions, or make an `.srt` for a specific local file path.
License
MIT
Instructions
51 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# transcribe

## Input
Use the media file path the user provided. If it's unclear which file to transcribe, ask the user for the local media file path and stop.

## Instructions
When this skill is invoked, do the work immediately.

1. Run Whisper on the input file and write an `.srt` file next to the source media file.
2. Review the generated subtitles and make them clean and subtitle-ready rather than overly literal.
3. Reveal the final `.srt` file in Finder.
4. Report the output `.srt` path.

## Subtitle cleanup requirements
You must optimize the subtitles for readability while preserving meaning and approximate timing.

- Remove obvious filler words when they do not add meaning, such as `um`, `uh`, `like`, and similar verbal padding.
- Remove obvious false starts, accidental repetitions, and disfluent fragments when they make captions harder to read.
- Fix punctuation, capitalization, and obvious formatting problems.
- Preserve intentional wording, important emphasis, and technical terms.
- Do not rewrite the speaker's meaning or turn the transcript into a summary.
- Prefer concise, natural subtitle text over raw verbatim speech.

## Command
Run Whisper with the provided media file:

```bash
INPUT="<media file path>"
whisper "$INPUT" --output_format srt --output_dir "$(dirname "$INPUT")"
```

The generated subtitle path is:

```bash
SRT_PATH="$(dirname "$INPUT")/$(basename "${INPUT%.*}").srt"
```

After cleaning the subtitle text, reveal the file in Finder:

```bash
open -R "$SRT_PATH"
```

## Output
Report the final `.srt` path:

`$SRT_PATH`

If Whisper fails, report the error briefly and stop.

From bholmesdev/skills, MIT.

Signals

Stars
179
Forks
3
Open issues
0
Last commit (this folder)
Apr 10, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

transcribe skill. Agent Mart. https://agentmart.dev/skills/bholmesdev-transcribe (last updated 2026-10-24)