菜单
Fetch and transcribe Google Recorder voice notes. Use when the user shares a recorder.google.com link and wants the original audio file, a transcript, or wants to act on a voice note.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/alexeygrigorev/.agents --skill fetch-google-recorder命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Reclaim disk and de-clutter git repos by finding and removing merged git worktrees, their now-merged local branches, and plain scratch dirs (`.tmp` logs/run output/caches that aren't worktrees). Use when the disk is filling up, when `git worktree list` / `git branch` are bloated with stale agent or task worktrees (`agent-*`, `tester-*`, `issue-*`), or when asked to "clean up git" / free space. Full procedure is in worktrees.md.
Create polished workflow diagrams as deterministic SVG and PNG files from JSON specifications. Use when Codex needs to visualize a process, lifecycle, state flow, branching workflow, circular loop, or ASCII diagram.
Write or rewrite prose with a pinned Claude model version (e.g. opus 4.6), keeping structure, numbers, quotes and markup byte-identical. Use whenever the user names a model version for writing, or wants a draft rewritten for voice.
基于 SOC 职业分类
正在显示 SKILL.md
| name | fetch-google-recorder |
| description | Fetch and transcribe Google Recorder voice notes. Use when the user shares a recorder.google.com link and wants the original audio file, a transcript, or wants to act on a voice note. |
| allowed-tools | Bash(uv run *), Bash(python *) |
| argument-hint | ["recorder-url"] |
Fetch Recorder-provided transcripts from public Google Recorder share links. Fetch audio only when explicitly needed, and optionally transcribe audio with WhisperX.
Google Recorder links must be public. Private links redirect to Google sign-in and cannot be fetched without an authenticated browser session or cookies.
Prefer this when the user asks for the transcript. Google Recorder
shares already expose a transcript through the Recorder playback RPC, so
there is no need to download the .m4a or run WhisperX.
Run from the directory where outputs should be written:
uv run python ~/.claude/skills/fetch-google-recorder/recorder.py transcript \
'https://recorder.google.com/<share-id>' \
--out-dir fetched
This writes:
<recording-title>.transcript.txt
<recording-title>.transcript.timestamped.txt
<recording-title>.transcription.jsonpb
Use .transcript.txt for normal text workflows. Use
.transcript.timestamped.txt when you need timestamps (e.g. placing
chapter markers); each line is prefixed with its start time:
[HH:MM:SS] transcript text
Run from the directory where outputs should be written:
uv run python ~/.claude/skills/fetch-google-recorder/recorder.py fetch \
'https://recorder.google.com/<share-id>' \
--out-dir fetched
This writes the original .m4a audio file. The filename is lowercase and
underscore-separated, based on the Recorder title. It also tries to write
the Recorder-provided transcript files.
WhisperX currently needs Python 3.13 for the available Torch wheels. Use --python 3.13 even if the surrounding repo defaults to another Python version:
uv run --python 3.13 --with whisperx --with torch \
python ~/.claude/skills/fetch-google-recorder/recorder.py transcribe \
fetched/google_recorder_apr_24_at_12_26.m4a
This writes:
<audio-stem>.whisperx.txt
The timestamped transcript format is:
[MM:SS] transcript text
Add --raw only if a plain raw transcript is also needed:
<audio-stem>.whisperx.raw.txt
For the full flow:
uv run --python 3.13 --with whisperx --with torch \
python ~/.claude/skills/fetch-google-recorder/recorder.py fetch-transcribe \
'https://recorder.google.com/<share-id>' \
--out-dir fetched
For transcript requests, use the transcript command first. It is faster
and avoids downloading audio.
After fetching/transcribing audio, use the .m4a for audio workflows and
.whisperx.txt for WhisperX text workflows. If WhisperX transcription
quality is poor, inspect the Recorder-provided .transcript.txt.