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Found 4 Skills
Implement dependency injection in PydanticAI agents using RunContext and deps_type. Use when agents need database connections, API clients, user context, or any external resources.
Expert guidance for building production-grade AI agents and workflows using Pydantic AI (the `pydantic_ai` Python library). Use this skill whenever the user is: writing, debugging, or reviewing any Pydantic AI code; asking how to build AI agents in Python with Pydantic; asking about Agent, RunContext, tools, dependencies, structured outputs, streaming, multi-agent patterns, MCP integration, or testing with Pydantic AI; or migrating from LangChain/LlamaIndex to Pydantic AI. Trigger even for vague requests like "help me build an AI agent in Python" or "how do I add tools to my LLM app" — Pydantic AI is very likely what they need.
Roblox project structure and client/server model - replication, where code and assets belong (ServerScriptService, ReplicatedStorage, StarterPlayer), RunContext, service/controller bootstrapping, player/character lifecycle, CollectionService components, attributes, streaming-safe client code, library choices. Use when starting a project, deciding where code goes, or fixing replication/streaming bugs.
Use when structuring Roblox game code: where scripts go (ServerScriptService, ReplicatedStorage, StarterPlayerScripts), Script vs LocalScript and RunContext, a module loader or framework (Knit or none), services and controllers, how systems talk (signals, BindableEvents, attributes), CollectionService tags, cleanup with Trove or Janitor, Rojo project layout, or a round-based game core. Also when code is spaghetti, a script runs twice, require errors with 'required recursively', a module is nil on the client, a tool stops working after respawn, or memory climbs from leaked connections.