Find images, logos, and screenshots already stored in OD Library and reuse them in the current project. Select assets by their metadata, copy them into the project, and connect the returned file paths to the page.
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.
library-curator finds assets saved in OD Library, brings them into the current project, and incorporates them into a page. It can reuse images saved with OD Clipper, manually uploaded assets, agent-generated media, and design-system materials. It compares dimensions, titles, and sources in search results to choose an asset. After copying it into the project, it uses the returned project-relative path in HTML or CSS.
Use it when you want to reuse a screenshot or logo saved earlier without uploading it again. It also helps when you want to ask for a previously used hero image during page creation, or prefer assets you already have over newly generated media.
It requires the OD runtime and uses the environment-provided OD_TOOL_TOKEN for searching and importing. Without an embedding model configured, searches use keywords and metadata. If no asset is found, the workflow switches to media generation without inventing a file path.
This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.
AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.
The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 20, 2026. Treat it as a guide and read the original before installing.
Review the instructions the agent will receive before you install.
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.
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