356건 · 관련도순
Summarize YouTube videos by extracting transcripts and generating structured notes. Use when the user wants to summarize a YouTube video, extract key points from a talk, create study notes from a lecture, or get timestamps for important moments. Supports multiple URL formats and languages.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Tencent Meeting MCP assistant for meeting lifecycle management. Create, modify, cancel meetings, track attendance, export recordings, query transcripts, and generate smart minutes. Use when user mentions online meetings, video conferencing, or Tencent Meeting operations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate structured SOAP notes from clinical narratives, transcripts, or existing notes; use when the user needs de-identified clinical documentation organized into Subjective, Objective, Assessment, and Plan sections, with clear assumptions and review points.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Process meeting recordings and transcripts into decisions, action items, and team dynamics
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extract subtitles/transcripts from YouTube videos. Triggers: "youtube transcript", "extract subtitles", "video captions", "视频字幕", "字幕提取", "YouTube转文字", "提取字幕".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
AI DevKit · Use the memory CLI as a durable knowledge layer. Search before non-trivial work, store verified reusable knowledge, update stale entries, and avoid saving transcripts, secrets, or one-off task progress.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extract transcripts from YouTube videos via the YouTube caption system
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
End-to-end user research assistant — qualitative and quantitative. Use this skill whenever the user mentions user research, user interviews, discussion guides, interview guides, research plans, qualitative research, quantitative research, user surveys, survey design, usability studies, participant recruitment, research synthesis, interview transcripts, research reports, running studies with AI, or explicitly mentions Cookiy AI. Also trigger when users want to talk to customers, conduct discovery research, create a study or survey, analyze interview data, run AI-moderated interviews, or collect survey responses. Covers the full lifecycle: planning studies, creating discussion guides, running AI-moderated interviews (real or synthetic) via Cookiy, designing and distributing surveys, and synthesizing results into reports.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Search past meeting transcripts and voice memos for specific topics, people, decisions, or ideas. Use this whenever the user asks "what did we discuss about X", "find that meeting where we talked about Y", "what did Alex say", "did we decide on", "what was that idea about", or any question that could be answered by searching their meeting history. Also use for "do I have any notes about" or "check my meetings for".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Reads, searches and exports local Claude Code and Kimi CLI history without resuming work: timelines, verbatim user input, keyword or fuzzy recall, file recovery from transcripts, and which session ran a given command in a known time window. Use when the user asks what was said, wants a session ID or original context, needs proof of what a session contained, or needs past-session runtime evidence about commands, tool calls and hook runs — query this index instead of raw-scanning transcript files. Not for Codex (use read-codex-history); with no platform or several named, start at local-conversation-history.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Transforms raw meeting transcripts into structured, evidence-based meeting minutes — merges multiple versions without losing content, reviews existing minutes against the transcript for missing items, and identifies anonymous speakers (Speaker 1/2/3, 发言人1). Triggers on 会议纪要, 会议记录, 整理纪要, 妙记转纪要, "write meeting minutes", "merge these minutes". Not for fixing ASR/STT errors first (use transcript-fixer).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Corrects ASR/STT transcription errors — homophones, garbled terms, person-name errors, mixed Chinese/English — with dictionary rules plus Claude's built-in AI, no external API key required. Use to clean meeting notes, lecture transcripts, interviews or speech-recognition text, even when the user only says "fix this transcript". Not for structuring a clean transcript into minutes (use meeting-minutes-taker).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Fetch existing YouTube transcripts/subtitles or archive spoken video content as text, and download YouTube videos/audio or HLS streams (m3u8) with yt-dlp and ffmpeg. Use for transcript/subtitle retrieval, text-first video archiving, video/audio downloads, protected streams with authentication headers, and download failures including nsig, 403 or browser-cookie issues.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extracts Feishu/Lark Docs, Wiki, Sheets, and Minutes (妙记) transcripts into faithful local Markdown via the lark-cli API — no LLM paraphrasing, browser-DOM fallback when lark-cli can't reach content. Use whenever the source is a Feishu/Lark URL and fidelity matters — 导出飞书文档/合集/妙记转写, 把飞书 wiki 转 markdown, or archiving a collection — even if the user just says "save this". Also covers owner-exported .docx → Markdown.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answers what YouTube shows and podcasts said: transcripts, who was mentioned, sponsors, recommendations, momentum. Use for the arcmira MCP server or CLI.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when building exhibits for an American Anthropologist (AA) manuscript — photographs, maps, site plans, artifact images, kinship diagrams, transcripts, evidence tables, and multimodal media — so they are self-contained, accessible (alt text), ethically cleared (consent, permissions), and count toward the word budget. Designs exhibits; it does not run analysis or clear permissions for you.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when preparing ACM CCS appendices and supplementary material, including the ethics considerations appendix, protocol transcripts, formal proofs, measurement tables, and anonymized supporting material under the 12-page body limit, anonymity, and reviewer-discretion constraints for a security paper.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Provider reference for collecting public profiles, posts, comments, transcripts, trends, and ad-library data from major social platforms through ScrapeCreators. Use as a dependency of research workflows, not as the final user-facing deliverable.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Creates talking head videos from any source material (docs, changelogs, blog posts, notes, transcripts). Produces multi-scene videos with avatar narration over screenshots/images using HeyGen v2 API. Supports Quick Shot and Full Producer modes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Turn TikTok, Instagram, YouTube, Facebook, X, LinkedIn, Reddit, or Rumble transcripts into timestamped hooks, claims, objections, proof, calls to action, sponsorship signals, and reusable content atoms. Use directly for transcript analysis or as support for creator, competitor, trend, demand, and repurposing work.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and actionable recommendations for product, marketing, and CS teams. Chains review-site-scraper for public review data.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
AI sales coach composite. Analyzes all available sales data — email campaigns, call recordings/transcripts, reply patterns, pipeline outcomes — to identify what the user does well, where they struggle, and how to improve. Finds patterns in top-performing emails, winning call techniques, successful objection handles, and deal progression. Produces personalized coaching recommendations based on their specific product, market, and selling style. Tool-agnostic.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.