What problem does it solve? Building UiPath agents involves many error-prone steps: scaffolding projects, editing agent.json schemas, syncing entry-points.json, deriving bindings, and deploying to Orchestrator or Studio Web. This Skill guides the full agent lifecycle so projects stay valid and deployable. ## Core Features & Use Cases - Coded agent lifecycle: Scaffold Python agents with uip codedagent new, generate schemas and bindings, run evaluations, and deploy with LangGraph, LlamaIndex, or OpenAI Agents frameworks. - Low-code agent authoring: Create and edit agent.json projects, add tools, contexts, memory spaces, escalations, and guardrails, then validate, pack, and deploy via uip solution commands. - Flow and platform integration: Embed agents inline in Maestro flows, wire multi-agent solutions, and connect Integration Service connectors, Context Grounding indexes, and Action Center escalations. - Use Case: Ask the assistant to "build a UiPath agent that classifies support tickets" and it scaffolds the project, configures the model and prompts, validates the schemas, runs a smoke evaluation, and deploys it to your tenant. ## Quick Start Ask the assistant to create and deploy a UiPath agent for your use case, specifying whether you want a low-code or coded (Python) agent.