Builds AI agent loops with Effect-uai primitives like loop and streamTurn.
npx skills add https://github.com/betalyra/effect-uai --skill effect-uai
Please help me install this Agent Skill. Skill: effect-uai Source: https://github.com/betalyra/effect-uai/tree/main/skills/effect-uai Command: npx skills add https://github.com/betalyra/effect-uai --skill effect-uai
Enables building AI agent loops using Effect-uai primitives without enforcing a fixed runtime, giving you ownership of state and flow while the system handles wire formats, streaming events, and provider integration.
Install the core + a provider package, then scaffold a minimal loop using streamTurn to observe streaming turns and tool outputs.
High-intent search queries and answers about installing and using this skill.
AI agent loops with streaming and tool execution are built using Effect-uai primitives like loop and streamTurn, which handle wire formats and provider integration while you retain ownership of state and flow.
Provider-agnostic design is supported through pluggable language model layers, enabling integration with OpenAI, Anthropic, and Gemini for multi-provider scenarios without enforcing a fixed runtime.
To create a minimal streaming turn loop, install the core package alongside a provider package, then scaffold the loop using streamTurn to observe streaming turns and tool outputs.
No fixed runtime is enforced; the system handles wire formats, streaming events, and provider integration while giving you full ownership of the agent state and execution flow.
Structured outputs and tool integrations are handled within agent loops using typed schemas, ensuring typed events and structured outputs flow correctly through the streaming turn.
End-to-end agent workflows are composed using reusable recipe catalog patterns, allowing you to combine loop primitives and provider layers into complete agent workflows.
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