Whisper Skill

Local Whisper transcription that picks the backend and model for your hardware

Tested · Works

Test report

Verdict
Tested · Works
Score
8.0/10
Tested
Jul 28, 2026
Environment
Claude Code 2.x (agent harness)
Upstream re-checked
Jul 30, 2026 · df6c19b

This skill is no longer available upstream. Our re-check on Aug 10, 2026 couldn't find it any more (repo unreachable/deleted). The test below is what we measured on Jul 28, 2026 and we're leaving it up as a record — but there is nothing left to install, so we've removed the command.

Transcribed the same 10-second clip two ways on an M3 Mac: the naive no-skill path (pip install openai-whisper, whisper sample.wav --model small) ran 5m44s on CPU and returned 'That week Brown Fox jumped over the lazy dog, whispered transcription benchmark's major word error rate' - 6 wrong words out of 26, about 23% WER. Following the skill, its detector correctly read the machine as Apple M3 / 8 GB / Metal and routed to mlx-whisper on MPS, and its example script returned a word-perfect transcript with clean SRT cues in 3m35s including the model download. One real bug: examples/common.py builds the MLX repo id as mlx-community/whisper-<model>, so the model its own detector recommends (--model small) dies on a 404, and you have to pass mlx-community/whisper-small-mlx by hand. Three links in the body (docs/word-level-subs.md, methodology/post-processing.md, examples/burn_subs.py) point at files that were never committed.

Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works

  • Installs cleanly 4/5
  • Triggers reliably 5/5
  • Output vs. baseline 8/10
  • Docs & honesty 3/5

What Whisper Skill does

Sets up and runs Whisper locally instead of through the OpenAI API: it detects your OS, CPU, GPU and RAM, then picks a backend (mlx-whisper, faster-whisper, whisper.cpp, whisperx, openvino) and a model to match. Ships runnable examples for single-file and batch transcription, URL pull via yt-dlp, speaker diarization, push-to-talk voice dictation, and burning CapCut-style subtitles into MP4. Triggers on requests to transcribe audio or video locally, generate subtitles for shorts and reels, do speech-to-text without an API key, or replace Superwhisper-style dictation tools.

How to install Whisper Skill

Nothing to install: the source repository no longer has this skill. If the author brings it back, our daily re-check will pick it up and the command will reappear here.

Commands — how to trigger Whisper Skill

  • /whisper-skill Local Whisper transcription that picks the backend and model for your hardware

It also activates on plain-language prompts like these:

  • Transcribe this podcast episode locally without using the OpenAI API
  • Burn TikTok-style subtitles into my reel from this MP4 clip
  • I want a free Superwhisper-style dictation tool for my Mac

Frequently asked questions

Is the Whisper Skill skill free?
Yes. The skill itself is free from Mobiss11/Whisper-Skill. SkillProof publishes the install command and an independent test verdict at no cost.
Does Whisper Skill work with Claude Code?
We tested it with Claude Code 2.x (agent harness) on Jul 28, 2026. Verdict: Tested · Works. Transcribed the same 10-second clip two ways on an M3 Mac: the naive no-skill path (pip install openai-whisper, whisper sample.wav --model small) ran 5m44s on CPU and returned 'That week Brown Fox jumped over the lazy dog, whispered transcription benchmark's major word error rate' - 6 wrong words out of 26, about 23% WER. Following the skill, its detector correctly read the machine as Apple M3 / 8 GB / Metal and routed to mlx-whisper on MPS, and its example script returned a word-perfect transcript with clean SRT cues in 3m35s including the model download. One real bug: examples/common.py builds the MLX repo id as mlx-community/whisper-<model>, so the model its own detector recommends (--model small) dies on a 404, and you have to pass mlx-community/whisper-small-mlx by hand. Three links in the body (docs/word-level-subs.md, methodology/post-processing.md, examples/burn_subs.py) point at files that were never committed.
What is the Whisper Skill SkillProof Score?
8.0/10 — installs cleanly 4/5, triggers reliably 5/5, output vs. baseline 8/10, docs & honesty 3/5.
How do I install Whisper Skill?
Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
Can I use Whisper Skill with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.