joelhooks

joelhooks / effectts-skills

Public

⚡ Effect-TS v4 agent skill — services, layers, schemas, errors, testing, HTTP, CLI, config

10
0
100% credibility
Found Mar 20, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A collection of skills and extensions for AI coding agents to provide context-aware assistance, commands, and code generation for Effect-TS projects.

How It Works

1
🔍 Discover the helper

While using your AI coding buddy on a project, you learn about a booster that makes it an expert for a specific coding style.

2
📥 Add it simply

You install the helper with one easy instruction, and it's ready in seconds.

3
✨ It recognizes your work

Your coding tool spots your project type and shows a special badge confirming it's all set up.

4
💡 Smart tips appear

As you look at your code, helpful notes automatically show up suggesting guides for what you're seeing.

5
Pick your help
🔨
Create code template

Instantly generate starter code for services or tests to speed up your building.

📚
Load a guide

Pull in tips and examples for topics like data handling, errors, or testing.

6
🚀 AI assists perfectly

Your coding buddy now understands your style deeply and offers spot-on suggestions.

🎉 Build effortlessly

You create robust apps faster, feeling like you have an expert partner every step.

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AI-Generated Review

What is effectts-skills?

This TypeScript project delivers Effect-TS v4 skills and extensions for AI agents like Pi and Claude Code, turning them into Effect-savvy assistants. It auto-detects Effect projects, injects context on patterns like services, layers, schemas, errors, testing, HTTP, CLI, and config, and provides slash commands for scaffolding services or tests plus loading reference docs. Developers get an effect-ts agent that understands their codebase, reducing hallucinations when querying AI about Effect code.

Why is it gaining traction?

It stands out by pattern-matching Effect idioms in real-time—spotting service layers or schema brands—and injecting targeted docs without manual prompting, unlike generic agents. LLM-callable tools for effect-ts ai agent scaffolds and progressive skills on topics like error handling or HTTP clients make agents produce idiomatic code fast. The CLI install hooks right into workflows, blending agent smarts with Effect best practices from effect.solutions.

Who should use this?

TypeScript backend devs building Effect apps, especially those wiring services, layers, HTTP clients, or CLI tools with Pi or Claude agents. It's ideal for teams onboarding Effect-TS, needing quick scaffolds for schemas, errors, testing suites, or config layers without digging through docs. Frontend or full-stack folks dipping into Effect for typed effects will save hours on boilerplate.

Verdict

Grab it if you're deep in Effect-TS—solid niche skills despite 10 stars and 1.0% credibility score signaling early maturity. Docs are crisp, but watch for broader adoption before production reliance.

(187 words)

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