diff --git a/skills/whisper/SKILL.md b/skills/whisper/SKILL.md
new file mode 100644
index 00000000..7edbb772
--- /dev/null
+++ b/skills/whisper/SKILL.md
@@ -0,0 +1,54 @@
+---
+name: Audio Transcription
+description: Transcribe audio files using OpenAI Whisper CLI
+version: 1.0.0
+metadata:
+  emoji: "🎙️"
+  always: true
+  requires:
+    anyBins:
+      - whisper
+      - whisper-cli
+  install:
+    - id: brew-whisper
+      kind: brew
+      formula: openai-whisper
+      bins: [whisper]
+      label: "Install OpenAI Whisper via Homebrew"
+      os: [darwin]
+    - id: pip-whisper
+      kind: uv
+      package: openai-whisper
+      bins: [whisper]
+      label: "Install OpenAI Whisper via pip/uv"
+  tags:
+    - audio
+    - transcription
+    - media
+userInvocable: false
+disableModelInvocation: false
+---
+
+## Audio Transcription
+
+When you receive a message indicating an audio or voice message file (e.g., `[audio message received]` with a `File:` path), you should transcribe it.
+
+### How to Transcribe
+
+Run the following command using the `exec` tool:
+
+```
+whisper "<file_path>" --model turbo --output_format txt --output_dir /tmp
+```
+
+Then read the resulting `.txt` file (same name as input, in `/tmp/`) to get the transcript.
+
+### Response Format
+
+After transcription, respond naturally based on the transcribed content. If the user said something in the voice message, respond to it as if they had typed it.
+
+If transcription fails, let the user know and suggest they check their Whisper installation.
+
+### Supported Formats
+
+Whisper supports: mp3, mp4, mpeg, mpga, m4a, wav, webm, ogg, oga, flac