Use when acquiring or importing media into a OpenChatCut project asset library for video editing or creation, including local/attached videos, user-provided paths, public media URLs, web video/audio/image assets, upload fallback decisions, and deciding between import_media, download_media, or manual user action.
Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.
读取 https://funcoding.ai/skills/0xsline/openchatcut/asset-import/install.md ，按里面的步骤帮我安装这个 Skill。
This build runs the editor and its media server locally. There is no hosted import API, no CLI, and no OAuth: media enters the project through the editor UI or through the agent tools below. Pick the path by where the bytes live.
Ask the user to drag the files into the editor (preview canvas or 我的素材 panel) or use the upload button. The local pipeline then runs automatically: streaming write to /media/uploads/, conditional transcode (≤1920 long edge, browser-friendly codec, ~8Mbps), audio extraction, and auto-transcription (ASR starts on upload). Do not ask the user to pre-convert, pre-trim, or transcode anything themselves — the pipeline handles it.
The agent cannot read the user's filesystem. If the user gives you a /Users/... or C:\... path, tell them to drop that file into the editor instead; you cannot fetch it.
Use download_media with a single URL or a batch array. The server fetches, stores under /media/uploads/, and registers pool assets. Prefer this for stock/web media the user pointed at. After download, the asset behaves like any other media-pool asset.
Call import_media with {"action":"create_session", "assetType":..., "filename":..., "contentType":..., "size":...}. It returns one short-lived upload slot bound to the current project, session, asset identity, basename, POST, MIME type, and exact byte count. A host-side script may upload to that exact URL with the declared headers. The agent sandbox cannot reach the user's localhost, so do not attempt the transfer from run_code.
The successful upload response returns an opaque receipt, echoed assetType, and uploaded path. Probe the uploaded path when exact duration, dimensions, fps, or audio presence are needed, then call finalize_uploaded_asset with the receipt, echoed assetType, measured media metadata, and durationInSeconds for audio/video/gif. The server resolves the authoritative hash, path, size, filename, and asset id. Finalize commits the asset but never starts ASR; after placing an audio/video asset on a track, invoke transcribe_track separately if transcription is desired. The asset is not present or usable before finalize succeeds. For missing-media replacement, pass the existing assetId to import_media; omit it for a new asset. Never construct /media/uploads/... yourself and never claim bytes are ready before the upload response.
For multi-source edits, build reviewable work from original source assets in the OpenChatCut timeline. Do not locally concatenate, pre-trim, pre-compose, burn captions, or flatten media before import — import originals and do all composition on the timeline so every step stays reviewable and undoable.
For code assets such as hand-authored Motion Graphics, use the create-motion-graphics skill (create_motion_graphic_from_code for new assets, asset-code updates for edits) — MG code is not an imported file.
/media/uploads/), served directly with Range support. If Cloudflare R2 is configured, uploads mirror to R2 and other devices can hydrate from it; without R2 the project is local-only.
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