Token导航 LogoToken导航TokenDH.com
研究检索操作浏览器github未标认证来源可访问clear审计未展示

gettr-transcribe-summarizegettr 转录总结

Agent Skill

gettr-transcribe-summarize 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,954

周安装

87

GitHub Stars

公开资料未说明

下载量

670
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:gettr-transcribe-summarize(gettr 转录总结)
来源仓库:https://github.com/clawdbot/skills
仓库路径:skills/gettr-transcribe-summarize
安装命令:
npx skills add clawdbot/skills --skill "gettr-transcribe-summarize"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add clawdbot/skills --skill "gettr-transcribe-summarize"

简介

发现并推荐具备转录与摘要能力的AI代理技能。gettr-transcribe-summarize 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合需要处理音频会议、播客或访谈内容的场景。
  • 返回技能列表涵盖实时转写、多语种支持与关键点提取特性。
  • 部分技能依赖云端ASR服务,需联网且可能产生调用费用。
  • 注意:隐私敏感录音建议在本地部署方案中处理,避免上传第三方服务器。

SKILL.md

name
gettr-transcribe-summarize
description
Download audio from a GETTR post (via HTML og:video), transcribe it locally with MLX Whisper on Apple Silicon (with timestamps via VTT), and summarize the transcript into bullet points and/or a timestamped outline. Use when given a GETTR post URL and asked to produce a transcript or summary.
homepage
https://gettr.com
metadata
{"clawdbot":{"emoji":"📺","requires":{"bins":["mlx_whisper","ffmpeg"]},"install":[{"id":"mlx-whisper","kind":"pip","package":"mlx-whisper","bins":["mlx_whisper"],"label":"Install mlx-whisper (pip)"},{"id":"ffmpeg","kind":"brew","formula":"ffmpeg","bins":["ffmpeg"],"label":"Install ffmpeg (brew)"}]}}

Gettr Transcribe + Summarize (MLX Whisper)

Quick start

# 1. Parse the slug from the URL (just read it — no script needed)
#    https://gettr.com/post/p1abc2def  → slug = p1abc2def
#    https://gettr.com/streaming/p3xyz → slug = p3xyz

# 2. Get the video URL
#    For /post/ URLs: use the extraction script
python3 scripts/extract_gettr_og_video.py "<GETTR_POST_URL>"

#    For /streaming/ URLs: use browser automation directly (extraction script is unreliable)
#    See Step 1 below for browser automation instructions

# 3. Run download + transcription pipeline
bash scripts/run_pipeline.sh "<VIDEO_URL>" "<SLUG>"

To explicitly set the transcription language (recommended for non-English content):

bash scripts/run_pipeline.sh --language zh "<VIDEO_URL>" "<SLUG>"

Common language codes: zh (Chinese), en (English), ja (Japanese), ko (Korean), es (Spanish), fr (French), de (German), ru (Russian).

This outputs:

  • ./out/gettr-transcribe-summarize/<slug>/audio.wav
  • ./out/gettr-transcribe-summarize/<slug>/audio.vtt

Then proceed to Step 3 (Summarize) to generate the final deliverable.


Workflow (GETTR URL → transcript → summary)

Inputs to confirm

Ask for:

  • GETTR post URL
  • Output format: bullets only or bullets + timestamped outline
  • Summary size: short, medium (default), or detailed
  • Language (optional): if the video is non-English and auto-detection fails, ask for the language code (e.g., zh for Chinese)

Notes:

  • This skill does not handle authentication-gated GETTR posts.
  • This skill does not translate; outputs stay in the video's original language.
  • If transcription quality is poor or mixed with English, re-run with explicit --language flag.

Prereqs (local)

  • mlx_whisper installed and on PATH
  • ffmpeg installed (recommended: brew install ffmpeg)

Step 0 — Parse the slug and pick an output directory

Parse the slug directly from the GETTR URL — just read the last path segment, no script needed:

  • https://gettr.com/post/p1abc2def → slug = p1abc2def
  • https://gettr.com/streaming/p3xyz789 → slug = p3xyz789

Output directory: ./out/gettr-transcribe-summarize/<slug>/

Directory structure:

  • ./out/gettr-transcribe-summarize/<slug>/audio.wav
  • ./out/gettr-transcribe-summarize/<slug>/audio.vtt
  • ./out/gettr-transcribe-summarize/<slug>/summary.md

Step 1 — Get the video URL

The approach depends on the URL type:

For /post/ URLs — Use the extraction script

Run the extraction script to get the video URL from the post HTML:

python3 scripts/extract_gettr_og_video.py "<GETTR_POST_URL>"

This prints the best candidate video URL (often an HLS .m3u8) to stdout.

If extraction fails, ask the user to provide the .m3u8/MP4 URL directly (common if the post is private/gated or the HTML is dynamic).

For /streaming/ URLs — Use browser automation directly

Do not use the extraction script for streaming URLs. The og:video URL from static HTML extraction is unreliable for streaming content — it either fails outright or the download stalls and fails near the end.

Instead, use browser automation to get a fresh, dynamically-signed URL:

  1. Open the GETTR streaming URL and wait for the page to fully load (JavaScript must execute)
  2. Extract the og:video meta tag content from the rendered DOM:
   document.querySelector('meta[property="og:video"]').getAttribute('content')
  1. Use that fresh URL for the pipeline in Step 2

If browser automation is not available or fails, see references/troubleshooting.md for how to guide the user to manually extract the fresh URL from their browser.

Step 2 — Run the pipeline (download + transcribe)

Feed the extracted video URL and slug into the pipeline:

bash scripts/run_pipeline.sh "<VIDEO_URL>" "<SLUG>"

To explicitly set the language (recommended when auto-detection fails):

bash scripts/run_pipeline.sh --language zh "<VIDEO_URL>" "<SLUG>"

The pipeline does two things:

  1. Downloads audio as 16kHz mono WAV via ffmpeg
  2. Transcribes with MLX Whisper, outputting VTT with timestamps

If the pipeline fails with HTTP 412 (stale signed URL)

This error occurs with /streaming/ URLs when the signed URL has expired. If browser automation returned a stale URL, retry by re-running browser automation to get a fresh URL, then retry the pipeline.

If browser automation is not available or fails, see references/troubleshooting.md for how to guide the user to manually extract the fresh URL from their browser.

Notes:

  • By default, language is auto-detected. For non-English content where detection fails, use --language.
  • If too slow or memory-heavy, try smaller models: mlx-community/whisper-medium or mlx-community/whisper-small.
  • If quality is poor, try the full model: mlx-community/whisper-large-v3 (slower but more accurate).
  • If --word-timestamps causes issues, the pipeline retries automatically without it.

Step 3 — Summarize

Write the final deliverable to ./out/gettr-transcribe-summarize/<slug>/summary.md.

Pick a summary size (user-selectable):

  • Short: 5–8 bullets; (if outline) 4–6 sections
  • Medium (default): 8–20 bullets; (if outline) 6–15 sections
  • Detailed: 20–40 bullets; (if outline) 15–30 sections

Include:

  • Bullets (per size above)
  • Optional timestamped outline (per size above)

Timestamped outline format (default heading style):

[00:00 - 02:15] Section heading
- 1–3 sub-bullets

When building the outline from VTT cues:

  • Group adjacent cues into coherent sections.
  • Use the start time of the first cue and end time of the last cue in the section.

Bundled scripts

  • scripts/run_pipeline.sh: download + transcription pipeline (takes a video URL and slug)
  • scripts/extract_gettr_og_video.py: fetch GETTR HTML and extract the og:video URL (with retry/backoff)
  • scripts/download_audio.sh: download/extract audio from HLS or MP4 URL to 16kHz mono WAV

Error handling

  • Non-video posts: The extraction script detects image/text posts and provides a helpful error message.
  • Network errors: Automatic retry with exponential backoff (up to 3 attempts).
  • No audio track: The download script validates output and reports if the source has no audio.
  • HTTP 412 errors: Occurs with /streaming/ URLs when the signed URL has expired. Re-run browser automation to get a fresh URL (see Step 1); if that fails, see references/troubleshooting.md.

Troubleshooting

See references/troubleshooting.md for detailed solutions to common issues including:

  • HTTP 412 errors (stale signed URLs)
  • Extraction failures
  • Download errors
  • Transcription quality issues

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenCode

26.19%
按下载量换算175

windsurf

23.26%
按下载量换算156

clawdbot

18.61%
按下载量换算125

Codex

13.18%
按下载量换算88

Claude Code

8.06%
按下载量换算54

Antigravity

3.16%
按下载量换算21

安全审计

暂无安全审计结果可展示。

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills