Voice Memo Sync
LeoYeAI/openclaw-master-skills
Sync, transcribe, and intelligently organize voice memos, audio/video files, and URLs.
Transcribe audio and video files to text using OpenAI Whisper.
Install Whisper Transcription
$ npx skills add guia-matthieu/clawfu-skills --skill whisper-transcription -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install guia-matthieu/clawfu-skills whisper-transcription --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/automation/whisper-transcription .claude/skills/whisper-transcription && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "whisper-transcription" agent skill from https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/whisper-transcription into .claude/skills/whisper-transcription/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whisper-transcription", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/whisper-transcriptionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add guia-matthieu/clawfu-skills --skill whisper-transcription -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install guia-matthieu/clawfu-skills whisper-transcription --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/automation/whisper-transcription .agents/skills/whisper-transcription && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "whisper-transcription" agent skill from https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/whisper-transcription into .agents/skills/whisper-transcription/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whisper-transcription", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add guia-matthieu/clawfu-skills --skill whisper-transcription -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install guia-matthieu/clawfu-skills whisper-transcription --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/automation/whisper-transcription .cursor/skills/whisper-transcription && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "whisper-transcription" agent skill from https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/whisper-transcription into .cursor/skills/whisper-transcription/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whisper-transcription", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/guia-matthieu/clawfu-skills.git --path skills/automation/whisper-transcription--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add guia-matthieu/clawfu-skills --skill whisper-transcription -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install guia-matthieu/clawfu-skills whisper-transcription --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/automation/whisper-transcription .gemini/skills/whisper-transcription && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "whisper-transcription" agent skill from https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/whisper-transcription into .gemini/skills/whisper-transcription/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whisper-transcription", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install guia-matthieu/clawfu-skills whisper-transcriptionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add guia-matthieu/clawfu-skills --skill whisper-transcription -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/automation/whisper-transcription .github/skills/whisper-transcription && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "whisper-transcription" agent skill from https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/whisper-transcription into .github/skills/whisper-transcription/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whisper-transcription", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add guia-matthieu/clawfu-skills --skill whisper-transcription -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install guia-matthieu/clawfu-skills whisper-transcription --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/automation/whisper-transcription .opencode/skills/whisper-transcription && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "whisper-transcription" agent skill from https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/whisper-transcription into .opencode/skills/whisper-transcription/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whisper-transcription", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
whisper-transcription- GitHub stars
- 150
- Token cost
- ~1.2k tokens
- SKILL.md length
- 321 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- MIT
At a glance
Transcribe audio and video files to text using OpenAI Whisper.
- Works in 4 steps: GPU acceleration - 10x faster with CUDA… → Audio extraction - Script auto-extracts… → Chunking - Long files auto-split for… → …
- : converting podcasts to blog posts
- SKILL.md covers When to Use This Skill, What Claude Does vs What You…, Dependencies and Commands, plus 7 more sections
- Runs Python scripts from its folder; calls python and pip
What it does
Whisper Transcription is an agent skill from guia-matthieu/clawfu-skills. Transcribe audio and video files to text using OpenAI Whisper. Use when: converting podcasts to blog posts; creating video subtitles; extracting quotes from interviews; repurposing video content to text; building searchable audio archives
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/main.py`).
It sits in Media & Creative, covering Transcription. It works with Whisper and YouTube. The repository describes itself as: 172 expert marketing skills for AI agents — ClawFu MCP Server. The licence is MIT.
When your agent uses it
- : converting podcasts to blog posts
- Creating video subtitles
- Extracting quotes from interviews
- Repurposing video content to text
Example prompts
- “/whisper-transcription”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- GPU acceleration - 10x faster with CUDA GPU
- Audio extraction - Script auto-extracts audio from video
- Chunking - Long files auto-split for memory efficiency
- Language detection - Automatic, or specify with --language
What it can do on your machine
Read from SKILL.md and the folder at commit 4108f5c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Whisper Transcription loads about 1.2k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 321 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteRuns commands with sudoSKILL.md:40
# Ubuntu: sudo apt install ffmpeg
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from guia-matthieu/clawfu-skills at commit 4108f5c, republished under its MIT licence (© guia-matthieu). 321 words, ~1,180 tokens.
Download SKILL.mdSave it as
.claude/skills/whisper-transcription/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- whisper-transcription
- description
- Transcribe audio and video files to text using OpenAI Whisper. Use when: converting podcasts to blog posts; creating video subtitles; extracting quotes from interviews; repurposing video content to text; building searchable audio archives
- license
- MIT
- metadata.author
- ClawFu
- metadata.version
- 1.0.0
- metadata.mcp-server
- @clawfu/mcp-skills
Whisper Transcription
Transcribe any audio or video to text using OpenAI's Whisper model - the same technology powering ChatGPT voice features.
When to Use This Skill
- Podcast repurposing - Convert episodes to blog posts, show notes, social snippets
- Video subtitles - Generate SRT/VTT files for YouTube, social media
- Interview extraction - Pull quotes and insights from recorded calls
- Content audit - Make audio/video libraries searchable
- Translation - Transcribe and translate foreign language content
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Structures production workflow | Final creative direction |
| Suggests technical approaches | Equipment and tool choices |
| Creates templates and checklists | Quality standards |
| Identifies best practices | Brand/voice decisions |
| Generates script outlines | Final script approval |
Dependencies
pip install openai-whisper torch ffmpeg-python click
# Also requires ffmpeg installed on system
# macOS: brew install ffmpeg
# Ubuntu: sudo apt install ffmpegCommands
Transcribe Single File
python scripts/main.py transcribe audio.mp3 --model medium --output transcript.txt
python scripts/main.py transcribe video.mp4 --format srt --output subtitles.srtBatch Transcription
python scripts/main.py batch ./recordings/ --format txt --output ./transcripts/Transcribe + Translate
python scripts/main.py translate foreign-audio.mp3 --to enExtract Timestamps
python scripts/main.py timestamps podcast.mp3 --format jsonExamples
Example 1: Podcast to Blog Post
# Transcribe 1-hour podcast
python scripts/main.py transcribe episode-42.mp3 --model medium
# Output: episode-42.txt (full transcript with timestamps)
# Processing time: ~5 min for 1 hour audio on M1 MacExample 2: YouTube Subtitles
# Generate SRT for video upload
python scripts/main.py transcribe marketing-video.mp4 --format srt
# Output: marketing-video.srt
# Upload directly to YouTube/VimeoExample 3: Batch Process Interview Library
# Transcribe all recordings in folder
python scripts/main.py batch ./customer-interviews/ --model small --format txt
# Output: ./customer-interviews/*.txt (one per audio file)Model Selection Guide
| Model | Speed | Accuracy | VRAM | Best For |
|---|---|---|---|---|
tiny | Fastest | ~70% | 1GB | Quick drafts, short clips |
base | Fast | ~80% | 1GB | Social media clips |
small | Medium | ~85% | 2GB | Podcasts, interviews |
medium | Slow | ~90% | 5GB | Professional transcripts |
large | Slowest | ~95% | 10GB | Critical accuracy needs |
Recommendation: Start with small for most marketing content. Use medium for client deliverables.
Output Formats
| Format | Extension | Use Case |
|---|---|---|
txt | .txt | Blog posts, analysis |
srt | .srt | Video subtitles (YouTube) |
vtt | .vtt | Web video subtitles |
json | .json | Programmatic access |
tsv | .tsv | Spreadsheet analysis |
Performance Tips
- GPU acceleration - 10x faster with CUDA GPU
- Audio extraction - Script auto-extracts audio from video
- Chunking - Long files auto-split for memory efficiency
- Language detection - Automatic, or specify with
--language
Skill Boundaries
What This Skill Does Well
- Structuring audio production workflows
- Providing technical guidance
- Creating quality checklists
- Suggesting creative approaches
What This Skill Cannot Do
- Replace audio engineering expertise
- Make subjective creative decisions
- Access or edit audio files directly
- Guarantee commercial success
Related Skills
- video-processing - Extract audio from video
- youtube-downloader - Download videos to transcribe
- content-repurposer - Transform transcripts to content
- podcast-production - Create podcasts
Skill Metadata
- Mode: cyborg
category: automation
subcategory: audio-processing
dependencies: [openai-whisper, torch, ffmpeg-python]
difficulty: beginner
time_saved: 10+ hours/week© guia-matthieu, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts) in skills/automation/whisper-transcription of guia-matthieu/clawfu-skills.
- SKILL.md
- scripts/main.py
- scripts/requirements.txt
Open the folder on GitHubat commit 4108f5c
Compare with similar skills
Whisper Transcription next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Whisper Transcription this skillguia-matthieu/clawfu-skills | 150 | — | ~1.2k | Automated safety check: Notes | MIT | |
| Voice Memo SyncLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.1k | Automated safety check: Pass | MIT | |
| Video To Subtitle Summaryimlewc/video-to-subtitle-summary-skill | 218 | — | ~4.6k | Automated safety check: Notes | MIT | |
| Youtube PublishAndonywang123/Epost | 197 | — | ~3.4k | Automated safety check: Warn | None | |
| Watch Videocoreyhaines31/makerskills | 851 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Gemini Yt Video Transcriptsundial-org/awesome-openclaw-skills | 663 | — | ~293 | Automated safety check: Pass | None |
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Categories
Questions about Whisper Transcription
What does Whisper Transcription do?
Transcribe audio and video files to text using OpenAI Whisper. Whisper Transcription is an agent skill from guia-matthieu/clawfu-skills. Transcribe audio and video files to text using OpenAI Whisper.
When should I use Whisper Transcription?
Whisper Transcription fits situations like: : converting podcasts to blog posts; creating video subtitles; extracting quotes from interviews; repurposing video content to text.
How do I install Whisper Transcription in Claude Code?
Run `npx skills add guia-matthieu/clawfu-skills --skill whisper-transcription -a claude-code`. Or copy the skill folder (skills/automation/whisper-transcription in guia-matthieu/clawfu-skills) into .claude/skills/whisper-transcription in your project. Claude Code loads it when a task matches its description.
How do I install Whisper Transcription in Codex?
Run `npx skills add guia-matthieu/clawfu-skills --skill whisper-transcription -a codex`. Or copy the skill folder (skills/automation/whisper-transcription in guia-matthieu/clawfu-skills) into .agents/skills/whisper-transcription in your project. Codex loads it when a task matches its description.
Can I use Whisper Transcription in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add guia-matthieu/clawfu-skills --skill whisper-transcription -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/whisper-transcription, .gemini/skills/whisper-transcription, .github/skills/whisper-transcription and .opencode/skills/whisper-transcription in your project.
What does Whisper Transcription need to run?
Going by SKILL.md and its folder, Whisper Transcription needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
Does Whisper Transcription access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Whisper Transcription safe to install?
Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Whisper Transcription use?
Whisper Transcription is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Whisper Transcription use?
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Whisper Transcription?
Skills that share tags, products or a category with Whisper Transcription: Voice Memo Sync (LeoYeAI/openclaw-master-skills, 2.2k stars), Video To Subtitle Summary (imlewc/video-to-subtitle-summary-skill, 218 stars), Youtube Publish (Andonywang123/Epost, 197 stars) and Watch Video (coreyhaines31/makerskills, 851 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Whisper Transcription?
guia-matthieu (a GitHub user) maintains it in guia-matthieu/clawfu-skills, which has 150 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 1, 2026.
Source: guia-matthieu/clawfu-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.