874 件 ・ 関連度順
概要と使いどころ
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.
日本語の概要は準備中です。原文の説明を表示しています。
视频内容逐字稿提取专用 skill。Use when the user provides a 抖音 or 小红书 URL and asks for逐字稿、视频转文字、听写视频或提取口播内容。Only extract transcript content; do not use this skill as the production subtitle clock, and do not summarize, rewrite, translate, title, or start production. Uses qushuiyin plus Paraformer ASR.
日本語の概要は準備中です。原文の説明を表示しています。
End-to-end video production orchestration for the content-creation workspace. Use when the user asks to make, recreate, package, render, QC, or archive a video; when the user says 制作待制作队列, 按交接稿制作, 制作队列视频, or points at a handoff project folder under 01-内容生产/视频工作台/待制作/ (contract file 交接稿.md inside) or an image-card handoff under 01-内容生产/图文工作台/待制作/ (its frontmatter is the binding production contract); when a request could route to HyperFrames, Remotion, captions, TTS, download/transcription, website/product videos, motion graphics, or reference replication; or when the user needs production planning before editing.
日本語の概要は準備中です。原文の説明を表示しています。
视频脚本洗稿和二创脚本工作流。Use when the user provides an existing transcript, oral draft, viral script, competitor video text, rough topic notes, or wants 洗稿, 二创改写, 爆款视频脚本重写, 逐字稿改成短视频脚本, rewrite with ra-人话, and queue the approved script into 01-内容生产/视频工作台/待制作/ as the handoff contract for video production. If the user provides a video URL or local video file and asks 视频洗稿、视频二创、洗稿并制作视频, use ra-video-wash-pipeline first.
日本語の概要は準備中です。原文の説明を表示しています。
Download source video or audio from Douyin, YouTube, Bilibili, Twitter/X, Xiaohongshu, and other yt-dlp-supported URLs into the content-creation workspace. Use when the user says 下载视频, 下载音频, 保存这个链接, 把源视频拉下来, or when another video workflow needs a local source file before transcription, frame analysis, editing, reference replication, or archiving.
日本語の概要は準備中です。原文の説明を表示しています。
Extract transcripts from YouTube videos via the YouTube caption system
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
日本語の概要は準備中です。原文の説明を表示しています。
Send one of the user's own Minutes meetings to their X1 household for review. Use when the user wants a meeting's summary, decisions, action items, and open questions to reach X1 so they can confirm what belongs in their household record. X1 asks the user to approve the send, and nothing reaches the household record until they confirm each item. Never use it for a restricted meeting, a transcript, or someone else's meeting.
日本語の概要は準備中です。原文の説明を表示しています。
Act as the user's live meeting sidekick inside the current terminal agent session. Use when the user explicitly asks you, the terminal agent, to watch a meeting, follow the live transcript, answer during the call, offer strategist thoughts, silently watch for risks, or track decisions. Do not use this skill to start or control the separate Minutes Coach HUD; explicit Coach or HUD lifecycle requests belong to minutes-copilot, and an ambiguous request such as "coach me live" requires one short surface clarification.
日本語の概要は準備中です。原文の説明を表示しています。
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".
日本語の概要は準備中です。原文の説明を表示しています。
Reads or exports the COMPLETE transcript of a Claude.ai web conversation — private /chat/... and public /share/... links — via Claude.ai's internal API in the user's logged-in Chrome, plus its files. Use when the user pastes a claude.ai link and asks to read, summarize, export, archive, or extract it — "读这个对话", "导出网页版对话", "拉到本地". Local sessions: read-claude-code-history; exported files: claude-export-txt-better.
日本語の概要は準備中です。原文の説明を表示しています。
Generates Chinese/Japanese speech with StepFun's Contextual TTS — default stepaudio-2.5-tts, stepaudio-3-tts for whisper/inline-() prosody. Replaces step-tts-2's voice_label with natural-language instruction. Use for emotional/prosody-controlled synthesis, batch voice lines, migrating from step-tts-2, or cloned voices (2.5/step-tts-2, not v3). Triggers on 阶跃 TTS, 语音合成, 配音. Not for transcription (use stepfun-asr).
日本語の概要は準備中です。原文の説明を表示しています。
Transcribes Chinese/English audio with StepFun's stepaudio-3-asr-max via its SSE endpoint (not /v1/audio/transcriptions) — one call handles long-form audio with no chunking. Use when migrating from step-asr/stepaudio-2.5-asr, or hitting the misleading "model not supported" error (actually wrong endpoint). Triggers on 阶跃 ASR, 语音识别. Not for TTS with the sibling model (use stepfun-tts).
日本語の概要は準備中です。原文の説明を表示しています。
Routes audio: StepFun ASR/语音识别, StepFun TTS/配音, transcript/妙记→会议纪要, merge/review minutes. Reads one bundled specialist; generic ASR and correction stay direct.
日本語の概要は準備中です。原文の説明を表示しています。
Creates video/GIF memes by overlaying images (logos, avatars, stickers) onto moving objects in a clip with frame-accurate tracking, then exports MP4 + GIF. Use whenever the user wants a meme, 梗图, 表情包, or reaction GIF from footage; to cover faces in a video; or asks to 把 logo/头像贴到视频里跟着动. Not for transcript-driven editing, programmatic scene generation, or subtitle work.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Turn one long video, podcast, or stream transcript into 8-12 short-form clips — each with a hook line, cut timestamps, captions, and a platform note for TikTok/Reels/Shorts — plus an honesty gate that kills clips that misrepresent the source. Use when someone says 'clip this podcast', 'make shorts from my video', 'what's clippable here', or runs a clipping side hustle. Produces a ranked clip sheet ready for an editor or a clipping app.
日本語の概要は準備中です。原文の説明を表示しています。
Write formal board meeting minutes from an agenda, notes, transcript, or discussion summary. Use when asked to draft board minutes, governance minutes, meeting minutes for a board, or a formal record of decisions and actions. Produces structured board minutes with attendees, agenda items, resolutions, decisions, action register, and approval-ready wording.
日本語の概要は準備中です。原文の説明を表示しています。
Compress a document, thread, transcript, or pasted text into a scannable TL;DR.
日本語の概要は準備中です。原文の説明を表示しています。
Edit a raw talking-head video through transcription, silence trimming, mistake review, visual storytelling, motion graphics, and verified HyperFrames rendering. Use for a complete edit; route a single requested operation directly to its specialist skill.
日本語の概要は準備中です。原文の説明を表示しています。
Design and build the visual layer of a long-form talking-head video as one persistent world the camera moves through, instead of a sequence of separate graphics. Use when asked to edit a video, add motion graphics, design the visuals for a script, plan an edit, or fix an edit judged confusing, text-heavy, hard to follow, or "clearly made by an AI". Covers the persistent world, camera grammar, the spotlight rule, spatial open loops, ornament and token discipline, transcript timing, and the verification gates.
日本語の概要は準備中です。原文の説明を表示しています。
Turn talking-head footage into a finished reel, YouTube Short, or short advertisement with curiosity-led openings, earned payoffs, story-driven cuts, transcript-synced motion graphics, moving B-roll, captions, subtle music, and synchronized sound effects. Use for short-form editing; use edit-video for long-form videos and cut-silences for pause removal alone.
日本語の概要は準備中です。原文の説明を表示しています。
Plan, write, time, style, and validate motion-graphic beats for long-form talking-head HyperFrames videos. Use when Codex is asked to add or improve visual beats, glassmorphism lower thirds, crumpled-paper full-screen takeovers, transcript-synced callouts, pacing coverage, YouTube retention graphics, or render-ready overlays in an existing HyperFrames video project.
日本語の概要は準備中です。原文の説明を表示しています。