菜单
Extract subtitles or transcripts from YouTube URLs and save normalized timestamped text locally. Use when the user asks for YouTube subtitles, captions, transcripts, video-to-text, 视频字幕, 字幕提取, YouTube 转文字, or 提取字幕.
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。
基于 SOC 职业分类
Use when work should be delegated to Claude Code CLI, especially headless `claude -p` runs, automation scripts, CI jobs, resumable sessions, or requests to use Claude/Claude Code for a task.
深度调研的多实例（多 Agent）编排工作流：把一个调研目标拆成可并行子目标，用 Codex CLI 子进程采集和分析证据，再聚合、核验并精修为完整报告。用于系统性网页或资料调研、竞品与行业分析、批量链接或数据集分片、长文证据整合，以及用户提及深度调研、Deep Research、Wide Research、多 Agent 并行调研或多进程调研的场景。
Generate, remix, or edit images with Nanobanana / Nano Banana 2 through the bundled Gemini CLI wrapper. Use this whenever the user wants AI image generation or editing, especially for reference-image composition, character consistency, grounded visuals that may need live web search, style transfer, marketing graphics, product mockups, social assets, or when they explicitly mention Nanobanana, Gemini image models, Google image generation, AI drawing, 图片生成, AI绘图, 图片编辑, or 生成图片.
Generate or edit images using OpenAI GPT Image API (gpt-image-2, gpt-image-1, etc). Triggers: "gpt image", "openai image", "generate image with openai", "draw image", "create image", "image generation", "AI drawing", "图片生成", "AI绘图", "生成图片", "画图". Use this skill whenever the user wants to generate or edit images and mentions OpenAI, GPT, or when OPENAI_API_KEY is available.
在构建新功能、创建新组件或设计新系统之前使用。通过协作对话探索用户意图、需求和设计方案，再进入实现阶段。当用户描述想要构建的东西且涉及设计决策时触发——不用于 bug 修复、配置变更或实现路径显而易见的任务。
仅当用户显式调用 `$grill-me`，或明确要求“追问我”“挑战这个方案”“拷打这个设计”时使用。通过高强度逐问逐答检验方案或设计，并同步维护领域模型、术语表和 ADR。不要因普通设计讨论自动触发。
| name | youtube-transcribe-skill |
| description | Extract subtitles or transcripts from YouTube URLs and save normalized timestamped text locally. Use when the user asks for YouTube subtitles, captions, transcripts, video-to-text, 视频字幕, 字幕提取, YouTube 转文字, or 提取字幕. |
Use the bundled scripts/transcribe_youtube.py wrapper for the primary workflow. It downloads subtitles with yt-dlp, selects the preferred language, converts WebVTT cues into timestamped plain text, and reports the output path and line count.
yt-dlp and confirm yt-dlp --version succeeds.SKILL.md; refer to it as <skill-dir>.The Python wrapper itself uses only the standard library. It can display --help without yt-dlp being installed.
Run without browser cookies first:
python3 "<skill-dir>/scripts/transcribe_youtube.py" \
"<youtube-url>" \
--output-dir "$PWD"
The default language preference is Simplified Chinese, Traditional Chinese, other Chinese variants, then English. Override it when the user requests another language:
python3 "<skill-dir>/scripts/transcribe_youtube.py" \
"<youtube-url>" \
--languages "ja.*,en.*" \
--output-dir "$PWD"
The wrapper supports normal watch URLs plus youtu.be, Shorts, live, and embed URLs. A successful run writes one .txt file whose non-empty lines use this shape:
00:03 Subtitle text
00:08 Next subtitle text
Do not read browser cookies by default. If the initial command fails specifically because the video requires sign-in, age verification, membership, or another authenticated session:
yt-dlp read YouTube cookies from a local browser profile.python3 "<skill-dir>/scripts/transcribe_youtube.py" \
"<youtube-url>" \
--cookies-from-browser chrome \
--output-dir "$PWD"
Never print, copy, or persist browser cookies in the transcript or logs.
Use browser automation only when yt-dlp is unavailable or cannot obtain subtitles and an appropriate browser-control capability is available.
<sanitized-video-title>.txt in the requested directory.If neither CLI extraction nor browser automation is available, report the missing capability instead of claiming success.
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