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Search the OD Library (the global asset registry) and apply matching assets into the current project mid-task. Use when the user asks to reuse an image they captured/uploaded earlier, "pull a logo/screenshot from my library", or to find and drop a stored asset into the page being built.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
A presentation system for agent-made PPTs — born for the talk, not just the template. It turns raw material into an AST (audience-state-transfer) outline with per-page visual-enhancement decisions (image / SVG diagram / video), hands a production brief to a downstream renderer (HTML-PPT skills or native PPTX), then runs a capped 3-round presentation checkup (演讲体检) on the rendered deck. It never renders slides itself. Use before generating PPT/HTML slides from raw material, and after rendering when the user says things like "给这份 deck 做演讲体检" or "PPT 渲染质检". If all you want is one beautiful template page with no outline and no checkup, a rendering skill alone is enough.
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| name | library-curator |
| description | Search the OD Library (the global asset registry) and apply matching assets into the current project mid-task. Use when the user asks to reuse an image they captured/uploaded earlier, "pull a logo/screenshot from my library", or to find and drop a stored asset into the page being built. |
| triggers | ["from my library","library asset","use the image I captured","insert from library"] |
| od | {"mode":"utility","category":"assets"} |
Reuse assets that already live in the user's OD Library — images captured with the OD Clipper, manual uploads, agent-generated media, and design-system material — without asking the user to re-upload them.
Both endpoints authenticate with the run's tool token (OD_TOOL_TOKEN, injected
by the daemon) and operate on the project the run belongs to.
POST /api/tools/library/search
{ "query": "blue hero background", "kind": "image", "limit": 20 }
Returns { "results": [{ "asset": { "id": "...", "kind": "image", "sourceTitle": "...", "width": 1600, "height": 900, "sources": [...] }, "score": 0 }], "semantic": false }.
semantic: false means keyword/metadata matching (no embedding model
configured). Filter and rank the results yourself from the asset metadata.
POST /api/tools/library/apply
{ "assetId": "<id from search>", "dir": "assets" }
Copies the asset into the project (default subdir library/, or the dir you
pass) and returns { "relPath": "assets/<hash>.png" }. Reference that
relPath from the HTML/CSS you write (e.g. <img src="assets/ab12cd34ef.png">).
If search returns nothing, fall back to media generation rather than guessing a
path — never invent a relPath that apply did not return.