OpenSpace 是做什么的?
在编写编码脚本前检查可用的 FFmpeg 编码器,以避免库版本不匹配问题。
在编写编码脚本前检查可用的 FFmpeg 编码器,以避免库版本不匹配问题。
HKUDS/OpenSpace 是一个 AI 智能体技能,旨在帮助开发者在使用 FFmpeg 进行编码时避免因库版本不匹配而导致的失败。该技能通过在脚本执行前检查 FFmpeg 支持的所有可用编码器,确保所选编码器在当前环境中是可用的。它支持多种 AI 编码平台(如 Claude Code、Cursor 等),可以自动生成兼容的编码指令或输出可用的编码器列表。工作原理基于解析 FFmpeg 的 `-encoders` 选项输出,与具体操作系统或 FFmpeg 版本无关。这能显著减少因编码器缺失或版本问题导致的脚本错误,提高工作流的稳定性和可移植性。
npx skills add https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/ffmpeg-encoder-check-4855c0在编写编码脚本前检查可用的 FFmpeg 编码器,以避免库版本不匹配问题。
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
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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...
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