检查剪辑列表的时间码、时长和总运行时间，以及剪辑的故事和节奏。当用户要求检查时间码、剪辑列表或视频运行时间时使用。
该技能用于检查和验证视频剪辑的时间码、时长和总运行时间，确保其符合目标时长和故事叙述需求。它支持分析列表中的每个时间码是否为正确的 HH:MM:SS:FF 格式，验证出点是否在入点之后，计算总运行时间并与目标对比，指出需要增减的时长。同时，该技能能评估剪辑的故事结构：第一个镜头是否交代了内容，每个切换是否覆盖了必要信息，是否有明确的结尾。该技能主要适用于命令行环境（如终端编辑器或 AI 编程助手），支持通过 Python 脚本自动处理 CSV 格式的剪辑列表文件。用户只需提供文件路径和帧率参数，即可获得详细的修复建议。该技能不支持掉帧时间码，仅适用于非掉帧格式。
npx skills add https://github.com/OmnipotentCEOxJenny/sceneorder/tree/HEAD/skills/sceneorder-check遵循 rules/scope.mdc。使用用户的语言回答。
python3 scripts/sceneorder.py FILE.csv --fps N --target TC。该脚本仅处理非掉帧时间码。This repo contains 1 individual skill — each has its own dedicated page.
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.