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Productivité · SKILL.md

video-understanding

video-understanding

Guide video upload, captioning, action recognition, dense captioning, and TikTok-style clip generation.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: video-understanding description: "Guide video upload, captioning, action recognition, dense captioning, and TikTok-style clip generation." metadata: disco-role: operating disable-model-invocation: true license: Apache 2.0

video-understanding

Use this sub-skill for local video requests such as caption this video, action recognition, dense caption, GenerateTikTokVideo, cut video to TikTok, or uploading a clip for later discussion.

Read references/video-workflows.md when choosing between upload, caption, action, dense, or TikTok flows. Read references/video-tool-reference.md when you need the exact input/output contract, timeline format, or checkpoint map for a specific video tool. Read references/troubleshooting.md when a checkpoint, CUDA/VRAM limit, ffmpeg, Bark, or OpenAI prerequisite is missing. Run scripts/validate_video_plan.py to statically check a video path, requested tool names, and TikTok prerequisites before any runtime plan.

Scope

  • In scope: video upload state, optional pre-captioning, Tag2Text captions/tags, InternVideo action recognition, GRiT dense captions, TikTok-style clip generation, and artifact naming.
  • Out of scope: app launch/load flags, HTTPS/service deployment, and non-video modalities.

Routing hints

  • If the request is about app launch, load strings, tabs, or other service flags, hand it to ../app-deployment/SKILL.md.
  • If the request is image, audio, or DragGAN work, use the sibling modality skill instead of this one.

Expected outputs

  • Uploaded videos become renamed local copies in the app's working media area.
  • Captioning returns caption text plus tag lists and framewise detail strings.
  • Action recognition returns a Kinetics class label.
  • Dense captioning returns timestamped object-name descriptions.
  • TikTok generation returns a new mp4 clip plus temporary clip and audio artifacts.

Guards

  • Do not claim a video result without its required checkpoint, codec, or external tool.
  • Do not promise TikTok generation when OpenAI, ffmpeg, or Bark is unavailable.
  • Do not import or invoke heavy models from this skill; use the runtime tool plan only.
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