Effect

Community

akitaonrails

effect

Work with Effect v4 / effect-smol TypeScript code in this repo

Overview

Publisher	akitaonrails
Repository	`my-skills`
Skill name	`effect`
Stars	268
Forks	31
Bundled files	Instructions only
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by akitaonrails on GitHub. Read the source before you install it.

Installation

Install the Effect AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/akitaonrails/my-skills/tree/master/effect
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/akitaonrails/my-skills.git /tmp/my-skills
mkdir -p .claude/skills
cp -r /tmp/my-skills/effect .claude/skills/effect

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Effect in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Effect on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Effect is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Effect

This codebase uses Effect for typed, composable TypeScript services, schemas, and workflows.

Source Of Truth

Use the current Effect v4 / effect-smol source, not memory or older Effect v2/v3 examples.

If .opencode/references/effect-smol is missing, clone https://github.com/Effect-TS/effect-smol there. Do this in the project, not in the skill folder.
Search .opencode/references/effect-smol for exact APIs, examples, tests, and naming patterns before answering or implementing Effect-specific code.
Also inspect existing repo code for local house style before introducing new patterns.
Prefer answers and implementations backed by specific source files or nearby repo examples.

Guidelines

Prefer current Effect v4 APIs and project-local patterns over old blog posts, examples, or package-memory guesses.
Use Effect.gen(function* () { ... }) for multi-step workflows.
Use Effect.fn("Name") or Effect.fnUntraced(...) for named effects when adding reusable service methods or important workflows.
Prefer Effect Schema for API and domain data shapes. Use branded schemas for IDs and Schema.TaggedErrorClass for typed domain errors when modeling new error surfaces.
Keep HTTP handlers thin: decode input, read request context, call services, and map transport errors. Put business rules in services.
In Effect service code, prefer Effect-aware platform abstractions and dependencies over ad hoc promises where the surrounding code already does so.
Keep layer composition explicit. Avoid broad hidden provisioning that makes missing dependencies hard to see.
In tests, prefer the repo's existing Effect test helpers and live tests for filesystem, git, child process, locks, or timing behavior.
Do not introduce any, non-null assertions, unchecked casts, or older Effect APIs just to satisfy types.
Do not answer from memory. Verify against .opencode/references/effect-smol or nearby code first.

Testing Patterns

Use testEffect(...) from packages/opencode/test/lib/effect.ts for tests that exercise Effect services, layers, runtime context, scoped resources, or platform integrations.
Use it.live(...) for filesystem, git repositories, HTTP servers, sockets, child processes, locks, real time, and other live platform behavior.
Run tests from package directories such as packages/opencode; never run package tests from the repo root.
Prefer explicit test layers over ad hoc managed runtimes. Keep dependency provisioning visible in the test file.
Use scoped fixtures and finalizers for resources that must be cleaned up, including temporary directories, flags, databases, fibers, servers, and global state.

Frequently asked questions

What does the Effect AI skill do?

Work with Effect v4 / effect-smol TypeScript code in this repo

Why use Effect on TypingMind?

Because you install it once and use it with any model. Effect is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Effect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/akitaonrails/my-skills/tree/master/effect. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Effect?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Effect?

As many as you like. As long as a model supports skills, you can use Effect with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Effect AI skill free?

It is published on GitHub by akitaonrails. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Gitcrawl

openclaw

OrganizationPopular

GitHub archive: issue/PR search, sync freshness, duplicate clusters, current GitHub handoff, and Gitcrawl repo work.

Graincrawl

Granola archive: search, sync freshness, notes, transcripts, panels, SQL counts, and Graincrawl repo work.

Openclaw Changelog Update

openclaw

OrganizationPopular

Regenerate OpenClaw release changelog sections from git history before beta, stable, or extended-stable releases.

Openclaw Ci Limits

Manage OpenClaw GitHub Actions and Blacksmith CI capacity, runner-registration budgets, fanout caps, main-push single-flight, shard sizing, hosted-runner offload, queue health, and safe…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Effect

Source Of Truth

Guidelines

Testing Patterns

Frequently asked questions

Related AI Skills

Set up your own AI workspace now