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bangumi-frames

agents365-ai/365-skills

Extract and organize frames from a Bilibili video (bangumi episode, UP upload, or a local file) into scenery shots and per-character image groups, using anime-specific person detection + CCIP character-identity embeddings. Two modes — cluster everyone, or pull out one (or several) named characters via reference folders. Use when the user wants to collect, extract, or organize anime frames/screenshots by character or by scenery from a Bilibili video. Read-only download for personal viewing/analysis; uploads nothing.

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安装命令

npx skills add https://github.com/agents365-ai/365-skills --skill bangumi-frames

SKILL.md

bangumi-frames — Bilibili Anime Frame & Character Organizer

Overview

Give a Bilibili video (a bangumi ep link, a UP-upload BV link/id, or a local video file); it downloads → extracts scene-change keyframes → splits scenery vs character frames → organizes the character crops. One pass, two modes:

  • no --ref (cluster mode) — group every character crop by CCIP identity into characters/char_NN/.
  • with --ref DIR (one-vs-rest mode) — given ONE character's reference folder, pull every crop in the video that matches it into matched/, filenames prefixed with distance (closest first) so a tight threshold yields a pure set.

Models are anime-specific (deepghs anime person detection + CCIP character-identity embeddings) — they do not work on live-action footage.

When to use / when NOT to use

bangumi-frames — Bilibili Anime Frame & Character Organizer

Overview

Give a Bilibili video (a bangumi ep link, a UP-upload BV link/id, or a local video file); it downloads → extracts scene-change keyframes → splits scenery vs character frames → organizes the character crops. One pass, two modes:

  • no --ref (cluster mode) — group every character crop by CCIP identity into characters/char_NN/.
  • with --ref DIR (one-vs-rest mode) — given ONE character's reference folder, pull every crop in the video that matches it into matched/, filenames prefixed with distance (closest first) so a tight threshold yields a pure set.

Models are anime-specific (deepghs anime person detection + CCIP character-identity embeddings) — they do not work on live-action footage.

When to use / when NOT to use

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