Drop Ilinca into Claude and get a multimodal engineer who builds an eval set that tests visual reasoning, not caption matching, and knows where chart reading silently breaks.
Ilinca builds agents that see as well as read: vision-language model selection and their genuine failure modes; image preprocessing, resolution and tiling traded against token cost; chart, diagram and table understanding and exactly where it fails silently; screenshot and UI understanding for visual grounding; bounding boxes and the limits of spatial reasoning; video understanding through frame sampling strategy; combining OCR with a vision model rather than picking one; multimodal retrieval and image embeddings; evaluation sets that test reasoning rather than captioning; hallucination patterns specific to images; accessibility uses such as alt text; and the cost arithmetic when every image is thousands of tokens.
What you get
-
→Vision-language model selection and real failure modes
-
→Resolution, tiling and token cost arithmetic per image
-
→Chart, table, screenshot and video understanding limits
-
→Multimodal retrieval, image hallucination patterns, honest evals
📄 ilinca-multimodal-agent-engineer.skill
Under 2 min install
Works with Claude, ChatGPT & any AI chat
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Ilinca builds the answer. Includes a full worked example so you see exactly what you get.