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effect-ts-ai

Automate typed AI workflows with Effect-TS for OpenAI and Anthropic.

6|1|Updated Nov 29, 2025
Search Tags:#ai#effect-ts#multi-provider#structured-output#typed-errors#tool-augmented
One-click install
npx skills add https://github.com/manutej/categorical-meta-prompting --skill effect-ts-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: effect-ts-ai
Source: https://github.com/manutej/categorical-meta-prompting/tree/main/.claude/skills/effect-ts-ai
Command: npx skills add https://github.com/manutej/categorical-meta-prompting --skill effect-ts-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers build robust AI workflows by applying Effect-TS patterns to compose AI calls, handle typed errors, and orchestrate tool-augmented generation in a type-safe, repeatable way.

Core Features & Use Cases

  • Typed AI errors and structured responses using AiError and schemas
  • Tool-augmented generation with reusable toolkits
  • Multi-provider orchestration (OpenAI, Anthropic) with seamless provider switching
  • Production-grade patterns for telemetry, resource management, and deterministic pipelines
  • Use Case: Implement a pipeline that queries a weather tool and validates the result with a schema before returning to the user.

Quick Start

Install the required packages (e.g., @effect/ai, effect) and set up API keys, then implement a basic pipeline that generates a text response with a simple model and extends it with a tool.

Frequently Asked Questions about effect-ts-ai

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build type-safe AI pipelines with structured outputs in TypeScript?▼

Type-safe AI pipelines are built by using Effect-TS to compose AI calls, apply schema-validated structured outputs, and enforce typed errors. This ensures deterministic, repeatable generation workflows with robust error handling in TypeScript.

How do I handle typed errors when orchestrating multiple AI providers in TypeScript?▼

Typed errors in multi-provider orchestration are handled using Effect-TS patterns and AiError definitions. This allows you to catch and resolve provider-specific failures type-safely during OpenAI or Anthropic integration.

What is the best way to implement tool-augmented generation with OpenAI and Anthropic?▼

Tool-augmented generation is implemented using reusable toolkits within Effect-TS workflows. This allows your pipeline to query external tools, validate the results with schemas, and seamlessly switch between OpenAI and Anthropic providers.

Can I switch between OpenAI and Anthropic models in a production-grade AI workflow?▼

Switching between OpenAI and Anthropic models is supported through multi-provider orchestration in Effect-TS. This enables seamless provider switching while maintaining production-grade telemetry and resource management.

Do I need prior experience with Effect-TS to use this AI workflow approach?▼

Prior experience with Effect-TS is beneficial as this approach targets TypeScript projects needing to compose AI calls with typed error handling. You will need to install @effect/ai and set up provider API keys to start.

Why use Effect-TS for AI pipelines instead of standard TypeScript async functions?▼

Using Effect-TS provides typed error handling, schema-validated structured outputs, and robust resource management. Unlike standard async functions, it ensures type-safe, repeatable, and deterministic pipelines for production-grade applications.

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