AI Agent Skill HUB

openai-whisper

Local speech-to-text with the Whisper CLI (no API key).

40 stars
bylllooollpp
View on GitHubInstallation ↓

Best use case

openai-whisper is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Local speech-to-text with the Whisper CLI (no API key).

Teams using openai-whisper should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/openai-whisper/SKILL.md --create-dirs "https://raw.githubusercontent.com/lllooollpp/clawdbot-cn/main/skills/openai-whisper/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/openai-whisper/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How openai-whisper Compares

Feature / Agentopenai-whisperStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Local speech-to-text with the Whisper CLI (no API key).

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Whisper (CLI)

Use `whisper` to transcribe audio locally.

Quick start
- `whisper /path/audio.mp3 --model medium --output_format txt --output_dir .`
- `whisper /path/audio.m4a --task translate --output_format srt`

Notes
- Models download to `~/.cache/whisper` on first run.
- `--model` defaults to `turbo` on this install.
- Use smaller models for speed, larger for accuracy.

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