354건 · 관련도순
Turn long articles, reports, papers, and transcripts into summaries at the reader’s preferred depth. Lead with the main conclusion, preserve essential figures and qualifications, and extract action items when the source supports them.
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Query gnomAD for variant frequencies, gene constraint measures, and effects on gene transcripts. Get concise Markdown summaries from focused requests, with options to return machine-readable JSON or save the full response to a file.
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Extract YouTube transcripts and analyze messaging, structure, intended viewers, emotional appeal, credibility, and calls to action—requests for viewers to act. Analyze one video or compare several keyword-selected videos to identify recurring strategies and content gaps.
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Turn articles, transcripts, or notes into a structured talk summary. Identify whether the material centers on practical experience or ideas, then extract its narrative, themes, sourced metrics, and gaps to guide further preparation.
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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.
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Create a framing document from conversation transcripts. Use when the user has transcripts (VTT, call notes, etc.) and wants to produce a frame that captures the problem worth solving and why it was chosen over alternatives.
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Designs customer interviews and turns the transcripts into decisions. Produces an interview guide plus a synthesis (forces of progress, jobs, pathways, opportunities) you can paste into a doc. Use for 'customer interviews', 'discovery calls', 'JTBD', 'switch interview', 'who should I talk to', 'how many interviews', 'synthesize these transcripts', or 'why do customers churn/buy'. Draws on 140 Lenny's Podcast guests incl. Teresa Torres, Bob Moesta and Judd Antin.
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Extract readable transcripts from Claude Code and Codex CLI session JSONL files
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Transform podcast transcripts into comprehensive content marketing suites including blog posts, social media content, newsletters, SEO-optimized articles, and timestamps. Use when user provides podcast transcripts or wants to repurpose podcast content.
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Analyze meeting transcripts to extract decisions, action items, blockers, sentiment, and generate follow-up emails. Use when user provides meeting notes, transcripts, or recordings and needs structured summaries or action tracking.
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Interact with Microsoft Teams — send and read messages, search conversations, look up people, check calendar, get meeting transcripts, and manage chats. Use this skill whenever the user mentions Teams, MS Teams, Microsoft Teams, wants to send a message, read chat history, search conversations, look up a colleague, check their calendar, find meeting recordings or transcripts, see direct reports or manager, or do anything involving Teams communication. Also trigger when the user asks about scheduling, org chart, people search, or wants to message someone.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Transform podcast transcripts into comprehensive content marketing suites including blog posts, social media content, newsletters, SEO-optimized articles, and timestamps. Use when user provides podcast transcripts or wants to repurpose podcast content.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze, summarize, and extract insights from DeLive transcription sessions. Use when: user mentions DeLive, transcription, meeting transcripts, live captions, audio transcription, AI correction, corrected transcript, or transcript analysis; user wants to search, retrieve, summarize, correct, or process recorded transcripts; user asks about meeting notes, action items, discussion summaries, or transcript quality from DeLive. Requires DeLive app running locally with its MCP server or REST API.
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Mine AI coding-agent session transcripts into structured, gate-validated GPU-kernel optimization records for the wiki. Use when asked to turn vibe-coding sessions, Codex rollout logs, or Claude Code project transcripts into wiki records; to summarise what a kernel-optimization session achieved; to build or extend a session-trace store; or to re-run and validate one. Also use when asked how a session-derived record's number, snippet, or provenance was established.
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Turn raw customer material into evidence-backed personas and verbatim voice-of-customer language. Two modes - analyse sources the user already has (call transcripts, support tickets, survey responses, sales notes, reviews), or source new material from public places customers actually talk. Produces quoted pains, objections, and switch triggers that other skills consume, never invented ones. Use when the user says "customer research", "voice of customer", "what do our customers actually say", "we need real quotes", "analyse these call transcripts", "read our support tickets", "build a persona from data", "find what customers complain about", or when a persona is marked provisional. For structuring the finished persona into the knowledge base, see brand-context. For the JTBD persona template itself, see customer-persona.
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Organize user-scoped CLEC episodes into traceable Traditional Chinese Obsidian pages. Use when Codex must group X, pCloud, Google Drive, Bilibili, Odysee, and RSS or Podcast sources by five-digit episode number; obtain and review transcripts through media-transcript; clean readable transcripts with the confirmed CLEC lexicon; anonymize students; or build the standard three-layer episode page.
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Use the `rimo` CLI to interact with the Rimo platform — list/read/search meeting notes, transcripts, and documents, ask AI questions across them, and create notes or append markdown sections to them. Trigger when the user mentions Rimo, asks about meeting notes/minutes/transcripts/documents stored in Rimo, or invokes `rimo` directly.
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Transform transcripts, conversations, or raw notes into shareable content — either multiple social posts OR a single long-form article. Learns style from user's published content. Handles transcripts of any length (tested up to 5500+ lines / 90+ min). Use when user: (1) provides transcript/conversation/recording and wants social content, (2) asks to "turn recording/notes into posts", (3) mentions generating content from recordings/notes, (4) needs multiple publishable pieces from single source, (5) asks to write an article from a transcript — e.g. "write an article/long-form", "organize into an article", "write up this session", "turn this talk into a blog post", "deep dive". Social mode outputs 2-15 ready-to-publish pieces. Article mode outputs a structured long-form piece (3000-10000+ chars) written section-by-section.
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Analyze meeting transcripts, recordings, and notes to extract action items, key decisions, topics, sentiment, and generate summaries using NLP and AI. Use when processing meeting transcripts, extracting action items, summarizing discussions, identifying key decisions, tracking topics and themes, analyzing sentiment, generating meeting notes, or building collaboration and productivity tools.
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Turn meeting transcripts or rough notes into crisp summaries with decisions, risks, and owner-tagged action items; use for Zoom/Meet/Teams transcripts, call notes, or long meeting chats to generate share-ready outputs.
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OpenClaw의 품질 검증 시나리오를 모의 환경이나 실제 서비스에서 실행하고, 실패 원인 수정과 보고서 확인, 여러 모델의 응답 스타일 비교를 지원합니다.
AI 에이전트의 작업 로그를 GitHub PR이나 이슈에 첨부할 기록으로 정리합니다. 관련 내용을 추리고 민감한 정보를 제거해 미리 보며, 별도 승인을 받아 게시합니다.
로그와 재현 작업으로 OpenClaw의 모델 통신과 도구 실행 문제를 조사합니다. 저장된 대화와 첨부 자료도 확인하여 원인 수정과 재검증에 필요한 근거를 모읍니다.
메모나 녹취록을 독자가 이해하기 쉬운 순서의 글로 구성합니다. 대화로 도입부와 문단의 역할을 확인하고, 합의한 내용을 별도 파일에 저장합니다.