ai-image-realismlisted

Improve AI image realism without starting over. This focused AI image editor and humanizer targets visible AI image artifacts—plastic skin, malformed hands or faces, extra fingers, repeated textures, and inconsistent lighting—with focused AI image retouching through a local repair or natural whole-image refinement. Use it to make AI portraits, product images, marketing graphics, and social covers look more realistic, remove the obvious AI look, fix AI hands and extra fingers, or refine product imagery, while aiming to keep identity, product shape, brand details, and composition recognizable where possible.
beatra-ai/ai-image-realism-skill · ★ 0 · AI & Automation · score 69

Install: claude install-skill beatra-ai/ai-image-realism-skill

# AI Image Realism & Artifact Fixer Repair the most visible artificial-looking defect in an existing image while keeping the parts the user already accepts recognizable where possible. The host Agent must be able to inspect the source image; uploading a file is transport, not image diagnosis, and this Skill has no separate Beatra image-analysis call. ## Best-fit scenes and preservation priorities Use this workflow to improve an existing portrait, product image, marketing visual, or social cover with plastic skin, malformed hands or faces, repeated textures, inconsistent light, or another visible generated-image artifact. Start from the user's selected image and repair the highest-impact issue without unnecessarily changing the rest. Treat text, logo geometry, identity, product shape, packaging, and composition named by the user as must-keep priorities. Prefer the smallest local repair that can address the issue, then compare the result with the source and report any visible drift. Use a reinterpretation route only when the user asks for a new scene or composition; never silently replace an edit request with a newly generated image. ## Inputs and defaults The only hard input is one existing image the host Agent can inspect. Reuse the user's destination, named defect, must-keep details, and accepted composition when already known. Ask only for missing information that changes the repair route or paid payload. Unless the user asks otherwise: - fix one highest-impact prob