create-rule
Create Cursor rules for persistent AI guidance. Use when the user wants to create a rule, add coding standards, set up project…
Speech-to-text transcription via OpenAI Whisper. Supports two modes — Local CLI (no API key, runs on-device) and Cloud API (fast, scalable, requires OPENAI_API_KEY). Use when the user needs to transcribe audio files, translate speech, or convert audio to text.
Claude Code
$ npx -y skills add coco-research/coco --skill openai-whisper --agent claude-code
Codex
$ npx skills add coco-research/coco --skill openai-whisper -a codex -y
Cursor
$ npx skills add coco-research/coco --skill openai-whisper -a cursor -y
Gemini CLI
$ npx skills add coco-research/coco --skill openai-whisper -a gemini-cli -y
GitHub Copilot
$ npx skills add coco-research/coco --skill openai-whisper -a github-copilot -y
OpenCode
$ npx skills add coco-research/coco --skill openai-whisper -a opencode -y
Windsurf
$ npx skills add coco-research/coco --skill openai-whisper -a windsurf -y
name: openai-whisper description: Speech-to-text transcription via OpenAI Whisper. Supports two modes — Local CLI (no API key, runs on-device) and Cloud API (fast, scalable, requires OPENAI_API_KEY). Use when the user needs to transcribe audio files, translate speech, or convert audio to text. homepage: https://openai.com/research/whisper domain: engineering
Transcribe audio files using OpenAI's Whisper model. Two modes available depending on your needs:
| Mode | Latency | Cost | Privacy | Setup | |------|---------|------|---------|-------| | Local CLI | Slower (on-device GPU/CPU) | Free | Audio never leaves machine | Install `whisper` binary | | Cloud API | Fast | Per-minute pricing | Audio sent to OpenAI | `OPENAI_API_KEY` required |
---
Run Whisper locally with no API key required. Models download to `~/.cache/whisper` on first run.
whisper /path/audio.mp3 --model medium --output_format txt --output_dir .
# Transcribe to text file whisper /path/audio.mp3 --model medium --output_format txt --output_dir . # Transcribe with translation to English whisper /path/audio.m4a --task translate --output_format srt # Transcribe with specific language whisper /path/audio.wav --model large --language en --output_format json
| Model | Speed | Accuracy | VRAM | |-------|-------|----------|------| | `tiny` | Fastest | Lowest | ~1 GB | | `base` | Fast | Low | ~1 GB | | `small` | Medium | Good | ~2 GB | | `medium` | Slow | Better | ~5 GB | | `large` | Slowest | Best | ~10 GB | | `turbo` | Fast | Good (default) | ~6 GB |
---
Transcribe via OpenAI's `/v1/audio/transcriptions` endpoint. Faster for large batches, no local GPU needed.
{baseDir}/scripts/transcribe.sh /path/to/audio.m4aDefaults:
# Basic transcription
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a
# Specify model and output
{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model whisper-1 --out /tmp/transcript.txt
# With language hint
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --language en
# With speaker name hints (improves accuracy)
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --prompt "Speaker names: Peter, Daniel"
# JSON output with timestamps
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --json --out /tmp/transcript.jsoncurl https://api.openai.com/v1/audio/transcriptions \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -H "Content-Type: multipart/form-data" \ -F file="@/path/to/audio.m4a" \ -F model="whisper-1" \ -F response_format="text"
Set `OPENAI_API_KEY` environment variable, or configure in `~/.clawdbot/clawdbot.json`:
{
skills: {
"openai-whisper-api": {
apiKey: "OPENAI_KEY_HERE"
}
}
}---
| Consideration | Local CLI | Cloud API | |---------------|-----------|-----------| | Privacy-sensitive audio | Best | Audio sent to OpenAI | | Large batch processing | Slow without GPU | Fast and parallel | | Offline usage | Works offline | Requires internet | | Cost | Free (hardware cost) | Per-minute pricing | | Setup complexity | Install binary + models | API key only | | Audio format support | Most formats | Most formats |
495 personas across 13 departments, 229 skills[^installed] and 388 commands in the full catalog (coco 1.9.0, 2026-10-21). Agent skills, slash commands and subagents for Claude Code, Cursor, Codex and other AI coding agents.
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