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Found 12 Skills
Expert developer assistant for working with YouTube transcripts via the mr-transcript library. Use this skill for writing Python code, integrating video parsing into projects, and as a reliable alternative to using youtube-transcript-api directly.
When you want to set up an agent loop, cron-scheduled task, or recurring workflow that runs autonomously in Claude Code. Judgment layer on top of ScheduleWakeup, CronCreate, and the /loop skill — decides whether to use dynamic pacing (self-scheduling wake-ups), cron scheduling (fixed intervals), or a one-shot loop; tunes delay to avoid the 5-minute cache-miss cliff; designs idempotent loop bodies; sets bail-out conditions so loops don't run forever. Examples of loops to loopify — weekly review pulse, daily brief generation, hourly monitoring of a metric, periodic vault compilation, upstream-check for an adapted skill, sponsorship-pipeline refresh, YouTube-transcript-batch-download, morning startup routine. Triggers on "/loopify," "set up a loop," "schedule this task," "run this daily," "run this weekly," "cron this," "make this recurring," "automate this on a schedule," "keep this running until X." Part of the -ify trifecta (skillify / toolify / loopify) for extending Claude Code. NOT for authoring a new skill — that's skillify. NOT for adding a tool/integration — that's toolify.
When you want to extract content from a video — YouTube, Loom, Vimeo, Riverside, Zoom recording, local MP4, X/IG video, anything yt-dlp supports. Three depth modes user picks per invocation — transcript (just words, fast/free), visual (transcript + ffmpeg frame extraction + Claude vision pass on key moments), multimodal (Gemini native video ingestion if $GEMINI_API_KEY set, else dense Claude vision). Uses MLX-Whisper local on Mac for transcription, falls back to platform-provided transcripts when available (Loom, Riverside, YouTube auto-subs). Saves to ~/Documents/videos/<source>-<slug>-<date>/ and optionally captures summary to second-brain raw/ as call-/meeting-/note-. Triggers on "/watch-video <url>," "watch this video," "transcribe this loom," "analyze this video," "summarize this recording," "key moments from this," "what happened in this video." This skill replaces and broadens the prior youtube-transcript skill.
Pull raw meeting transcripts from the user's Fireflies.ai notetaker via its GraphQL API, using the key saved locally. Use when the user wants a call transcript, meeting notes, "what was said on the call", onboarding-call transcripts, or Fireflies data. Differentiator: Fireflies meeting recordings only — for YouTube videos use youtube-transcript.
Use when normal web_fetch cannot read a page, when a site blocks basic fetching, or when the user needs YouTube content in AI-ready form. Guides fallback use of Firecrawl for single-page web scraping and SerpApi for YouTube search/video metadata/transcripts only.
Download YouTube video transcripts (subtitles/captions) using yt-dlp. Use this skill whenever the user provides a YouTube URL and wants the transcript, asks to "download transcript", "get captions/subtitles", or "transcribe a YouTube video". Also triggers when user needs text content extracted from any YouTube video, even if they don't explicitly say "transcript" (e.g., "what does this video say", "get me the text from this video", "I need the content of this YouTube link").
Use to convert files (PDF, Word, Excel, PowerPoint, Images, Audio, HTML, HTM, CSV, JSON, XML, ZIP, EPubs, MHTML) and URLs (YouTube URL, YouTube ID) into Markdown natively.
Use when transcribing audio/video to text with timestamps, speaker labels, and chapters. Supports YouTube URLs and local files. Produces structured markdown output.
Convert any document to Markdown with Microsoft's `markitdown` CLI — PDF, Word, Excel, PowerPoint, HTML, CSV, JSON, XML, ZIP, EPub, images (OCR/EXIF), audio (transcription), and YouTube URLs. Use whenever the user wants to extract text from a binary document, transcribe audio, OCR an image, scrape a YouTube transcript, or pre-process a file for an LLM context window — even when they just say "convert this pdf", "what's in this docx", "transcribe this mp3", or "get the text out of this".
Extract full transcripts from video content for analysis, summarization, note-taking, or research. Use when the user wants a written version of video content, asks to "transcribe this", "get the text from this video", "convert video to text", or shares a video URL for content extraction.
Extract wisdom, insights, and actionable takeaways from YouTube videos, blog posts, articles, or text files. Use when asked to analyse, summarise, or extract key insights from a given content source. Downloads YouTube transcripts, fetches web articles, reads local files, performs analysis, and saves structured markdown.
Extract subtitles and transcripts from Bilibili and YouTube videos. Use when the user wants to get subtitles from B站 (Bilibili) or YouTube, extract Chinese/Japanese video transcripts, watch member-only Bilibili content, or perform Q&A on video content. Supports dual-platform subtitle extraction with yt-dlp.