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Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
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A direct command skips the review prompt. Inspect the source before running it.
npx skills add https://github.com/chubbyguan/chubbyskills --skill podcast-transcribeThe command stays on one line. Scroll horizontally to inspect it before copying.
Prefer a local copy? Download the files currently available to SkillsMP.
Showing SKILL.md
Based on SOC occupation classification
| name | podcast-transcribe |
| description | 播客/小宇宙 → 下载 → 转录 → 存为 Markdown 的完整工作流。 支持 RSS 批量下载、单集链接转录。 |
| category | media |
| triggers | ["用户发送小宇宙/播客链接","帮我转录这个播客","下载播客","批量转录播客"] |
| version | 1.0.0 |
| tags | ["media","audio","podcast","transcription","xiaoyuzhou"] |
将播客音频下载并转录为文字，存为 Markdown 文件。支持小宇宙、喜马拉雅等平台。
# Python 3.9+
python -m venv .venv
source .venv/bin/activate
# 依赖
pip install faster-whisper
# 系统依赖
# macOS: brew install ffmpeg
# Ubuntu: sudo apt install ffmpeg
python scripts/transcribe.py "https://www.xiaoyuzhoufm.com/episode/xxxxx"
python scripts/batch_transcribe.py --rss-url "http://www.ximalaya.com/album/xxxxx.xml" --count 10
支持多种来源：
注意：小宇宙/喜马拉雅等平台会从页面 HTML 中自动解析 og:audio、<audio> 标签或内嵌 JSON 获取真实音频地址，无需手动提取。
from faster_whisper import WhisperModel
model = WhisperModel('small', device='cpu', compute_type='int8')
segments, info = model.transcribe(
audio_path,
language='zh',
beam_size=5,
vad_filter=True,
)
自动创建带 frontmatter 的 Markdown 文件。
| 模型 | 速度 (CPU) | 中文准确率 |
|---|---|---|
| faster-whisper tiny | ~149s/1h | 一般 |
| faster-whisper small | ~10min/h | 良好 (~85-90%) |
| faster-whisper large-v3 | ~30-60min/h | 最佳 |
仅供个人学习与研究使用。请遵守目标平台的服务条款（ToS）与 robots 规则，控制请求频率，不要用于批量抓取、商用爬取或侵犯他人权益的场景。下载内容的版权归原作者所有。