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yt-transcriptyt 转录本

Agent Skill

yt-transcript 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

242

周安装

10

GitHub Stars

公开资料未说明

下载量

79
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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

unknown

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:yt-transcript(yt 转录本)
来源仓库:https://github.com/mrecek/ai-skills
仓库路径:skills/yt-transcript
安装命令:
npx skills add https://github.com/mrecek/ai-skills --skill yt-transcript
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。

skills.shnpx skills
npx skills add https://github.com/mrecek/ai-skills --skill yt-transcript

简介

yt-transcript 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态和协作事项进行整理。

  • 适用于需要跟踪代码变更、管理 Issue 或参与协作的开发场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 建议确认权限范围、维护状态,以及是否会触发联网或命令执行操作。
  • 可结合来源仓库 README 进一步核验具体用法和功能边界。

SKILL.md

You are using the YouTube Transcript (yt-dlp) Formatting skill.

Goal: produce a clean markdown transcript artifact in the established youtube-transcripts format.

When To Use This Skill

Invoke this skill when the user requests:

  • /yt-transcript <URL>
  • /yt-transcript <URL> output to <directory>
  • /yt-transcript <URL> --no-chapters
  • Any request to generate or update a YouTube transcript artifact

Core Contract

The script is the deterministic engine. The agent orchestrates:

  • path selection
  • explicit filename override requests (only when user asks)
  • user confirmation
  • result communication

The script handles extraction, fallback logic, formatting, and file writes. The script also auto-generates canonical filenames when given a directory target.

Runtime Requirements

Install dependencies into the same Python interpreter used to run the script. Python 3.10+ is required.

  • macOS/Linux:
python -m pip install "yt-dlp[default]"
  • Windows:
py -m pip install "yt-dlp[default]"

Optional fallback dependencies:

  • youtube-transcript-api
  • openai-whisper
  • ffmpeg

Example install:

python -m pip install youtube-transcript-api openai-whisper

If your default python is older, create a venv with Python 3.10+ first:

/opt/homebrew/bin/python3.13 -m venv .venv
.venv/bin/python -m pip install "yt-dlp[default]" youtube-transcript-api

Workflow

Step 1: Determine Output Path

  • Parse the user request for output directory or filename hints.
  • If no directory is specified, propose a youtube-transcripts/ directory in the current workspace context.
  • Build an absolute output path.

Step 2: Let Script Generate Filename

Default behavior: pass an output directory and let the script generate: YYYY-MM-DD_identifier_topic-keywords.md

Only pass an explicit .md file path when the user explicitly requests a custom filename.

Step 3: Decide Extraction Flags

Default invocation is English subtitle-first.

Available flags:

  • --no-chapters: force flat transcript body
  • --lang <code>: preferred subtitle language (default en)
  • --proxy <url>: global proxy for yt-dlp requests
  • --http-proxy <url>: HTTP proxy override for transcript API fallback
  • --https-proxy <url>: HTTPS proxy override for transcript API fallback
  • --cookies <file>: Netscape-format cookie file for yt-dlp
  • --cookies-from-browser <spec>: browser cookie import for yt-dlp
  • --yt-impersonate <client[:os]>: yt-dlp impersonation target
  • --asr-fallback: use Whisper fallback if subtitle providers fail
  • --asr-model <name>: Whisper model (default small)
  • --no-artifact-on-failure: fail hard instead of writing fallback artifact

Step 4: Preview + Confirm

Before execution, show:

  • output directory or explicit file path
  • URL
  • whether chapters are expected
  • whether fallback flags will be used

Wait for user confirmation.

Step 5: Invoke Script

Use absolute paths and quote arguments.

Linux/macOS example:

python "/full/path/to/yt-transcript/script" "https://www.youtube.com/watch?v=VIDEO_ID" "/full/path/to/youtube-transcripts"

Windows example:

py "C:\path\to\yt-transcript\script" "https://www.youtube.com/watch?v=VIDEO_ID" "C:\path\to\youtube-transcripts"

With fallbacks:

python "/full/path/to/yt-transcript/script" "URL" "/full/path/to/youtube-transcripts" --cookies-from-browser "chrome" --proxy "socks5://127.0.0.1:1080" --asr-fallback

Step 6: Report Outcome

On success:

  • confirm output path
  • summarize whether transcript came from subtitles or fallback path

If fallback artifact was written (extraction failed but file created):

  • tell user artifact exists
  • summarize embedded extraction failure note
  • suggest rerun flags if needed

Output Format Expectations

The generated markdown artifact should follow this shape:

  • # <title>
  • **Source:**...
  • **Speaker/Channel:**...
  • **Published:**...
  • **Duration:**...
  • **Type:** Video Transcript
  • **Summary:**...
  • **Topics:**...
  • optional **Chapters:** list
  • ---
  • transcript body (chaptered when available unless --no-chapters)

Error Handling Guidance

Common failures and responses:

  • yt-dlp missing in active interpreter -> provide interpreter-specific install command
  • JS runtime / yt-dlp-ejs messages -> recommend yt-dlp[default] + runtime install
  • missing preferred language subtitles -> ensure youtube-transcript-api is installed, then rerun
  • no subtitles from provider fallbacks -> rerun with --asr-fallback
  • blocked/rate-limited requests -> rerun with proxy flags (--proxy, --http-proxy, --https-proxy)
  • gated/auth-required access -> rerun with --cookies or --cookies-from-browser
  • invalid URL -> ask user to verify URL format

Important Notes

  • Use the script as the source of truth for extraction and rendering.
  • Do not manually parse VTT in the agent response flow.
  • Always use absolute paths for invocation.
  • Confirm with the user before running when path/flags are ambiguous.

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

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

展示第三方安全扫描或审计结果

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

Codex

34.03%
按下载量换算27

Claude

32.8%
按下载量换算26

Cursor

21.04%
按下载量换算17

Gemini CLI

9.36%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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

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