Skill UI

Configure and select AI models inside Cursor by reviewing available providers, matching models to task needs, setting defaults, and managing per-conversation choices while keeping costs efficient.

Guides teams through migrating major integrations from OpenAI or other providers to Mistral AI, covering assessment, provider-agnostic adapters, feature-flag rollouts, model mapping, validation tests, and rollback strategies.

Configure and operate OpenRouter's multi-provider support to compare models, select providers, and keep API-agnostic workflows running with consistent verification and monitoring steps.

MolyKit AI Chat Toolkit guides building cross-platform chat interfaces with Makepad, offering PlatformSend async helpers, bot clients, SSE streaming, chat widgets, protocol types, and MCP support to wire up OpenAI or custom LLM providers for native and WASM apps.

PydanticAI brings Pydantic-style validation and type safety to LLM agent workflows, offering structured outputs, dependency injection, and tool integrations across providers so Python teams can test, monitor, and reuse agents reliably.