ai-video-editing-skill 是做什麼的？
Token 高效率的 talking-head 影片粗剪技能，透過語音轉文字與口播稿比對實現，而非基於視覺優先分析。適用於口播初剪。
Token高效的 talking-head 视频粗剪技能，通过语音转文字与脚本比对实现，而非基于视觉优先分析。适用于口播初剪。
這是一個專為 AI 代理設計的技能，用於高效地進行 talking-head 類型的影片粗剪（rough-cut）。與傳統依賴視覺分析的方法不同，此技能採用 token 效率極高的路徑：它利用語音轉文字（speech-to-text）技術將影片音頻轉為字幕，然後與預先準備好的口播稿進行比對。通過分析文字層面的對齊與差異，AI代理能自動識別出需要剪輯的片段，例如刪除口誤、重複或不合稿的段落。此方法大幅降低了計算成本和 API token 消耗，特別適合處理大量或長時長的 talking-head 影片。該技能主要用於開發工具和 AI 代理平台（如 Claude Code、Cursor 等），幫助內容創作者和開發者快速生成初步剪輯版本。
npx skills add Raven7979/ai-video-editing-skillToken 高效率的 talking-head 影片粗剪技能，透過語音轉文字與口播稿比對實現，而非基於視覺優先分析。適用於口播初剪。
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.