Shade

Enables AI agents to search, view, add, tag, and organize a self-hosted visual asset library of images, screenshots, SVGs, video, and PDFs, with safe trash-only deletion.

Enables AI agents to drive a local asset review loop: list and fetch paired original/output items (including image content for visual comparison), mark pass/reject/unsure with problem tags and region annotations, batch-review scoped selections, and export results as JSON or CSV. Also supports round archiving, detecting stale results after source re-renders, and listing previous-round rejects.

Enables AI agents to drive a full photo-editing engine through validated, non-destructive operations — exposure and colour grading, effects, geometry, text/watermarks, style matching from a reference image, natural-language looks, and batch processing over folders. Originals stay untouched, edits live in an open JSON project format, and everything runs locally without network access unless opted in.

Enables coding agents to ground UI work in real product screens by searching a catalogue for concrete screen references and design materials such as fonts, icons, and animated icons, then pulling the colors, typography, components, and provenance behind a chosen web screen. It also serves bundled skill documents, command playbooks, and connection diagnostics so an agent can settle a screen's states and acceptance criteria before building and verify the rendered result afterward.