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Analyze screenshots or screen recordings of UIs to detect visual issues and usability problems, then propose automatic improvements.
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Based on SOC occupation classification
Plan, reason, and verify across multiple levels using multi-step reasoning, tree-of-thought, and structured agent workflows.
Detect and repair security vulnerabilities or operational errors in the agent's own code and environment without manual intervention.
Generate and apply complete design systems from text descriptions or visual examples using AI and modern tooling.
Adapt user interfaces automatically based on device, viewport, user preferences, and contextual signals.
Build and query knowledge graphs automatically to capture relationships between entities, concepts, and project artifacts.
Run agent tasks in isolated, sandboxed environments to prevent malicious or untrusted code from affecting the host system.
| name | visual-feedback-loop |
| description | Analyze screenshots or screen recordings of UIs to detect visual issues and usability problems, then propose automatic improvements. |
Category: UI/UX Engineering Priority: High
This skill enables DevinOS to analyze screenshots or screen recordings of user interfaces, detect visual issues and usability problems, and propose or apply improvements. It turns visual quality assurance into a repeatable, AI-assisted loop.
To ensure visual quality, reduce manual UI review, and speed up continuous improvement of interfaces by catching layout, contrast, alignment, and consistency issues automatically.
Use this skill when:
User Input: "Review this landing page screenshot and tell me what looks wrong."
Agent Action:
User Input: "Is this UI good?"
Agent Action:
