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Cats Effect Resource

Community
alexandru
cats-effect-resource

Helps agents write and review Scala Cats Effect Resource code. Use for preventing resource leaks and use-after-release bugs, modeling disposable values with Resource, designing Resource-returning factories and constructor-injected services, wrapping Java AutoCloseable values, composing resources, and handling cancellation-safe release.

Overview

Publisheralexandru
Repositoryskills
Skill namecats-effect-resource
Stars
51
Forks
3
Bundled files
2
Links
  • 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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by alexandru on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/alexandru/skills/tree/main/skills/coding/cats-effect-resource
  4. 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.
2

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/alexandru/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/coding/cats-effect-resource .claude/skills/cats-effect-resource
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cats Effect Resource 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 Cats Effect Resource 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 Cats Effect Resource 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.

Cats Effect Resource (Scala)

Quick start

  • Model every owned disposable value with Resource.make, Resource.makeCase, or Resource.fromAutoCloseable.
  • Never return an acquired handle from .use; it is released when .use completes. Return only values computed inside the scope.
  • Classes must not allocate owned resources in constructors, fields, or top-level vals. Use companion/factory methods returning Resource[F, Service], then pass acquired private dependencies into constructors.
  • Wrap Java AutoCloseable values with Resource.fromAutoCloseable(Sync[F].blocking(...)) or IO.blocking(...).
  • Compose resources with flatMap, mapN, parMapN, or helper constructors; expose Resource[F, A] from lifecycle-owning APIs.
  • Read references/resource.md for patterns, best practices, and type-checked samples.

Workflow

  1. Identify every value that needs disposal or lifecycle shutdown.
  2. Move acquisition and release into a Resource[F, A]; suspend side effects in F (Sync[F].delay/blocking, IO.blocking, etc.).
  3. Build classes from already-acquired constructor parameters; put construction in resource/create factories that return Resource.
  4. Compose lower-level resources into higher-level resources before .use.
  5. Run with .use at the lifecycle boundary (IOApp, server startup, test fixture), and keep raw handles inside the use scope.
  6. Use allocated only for interop that truly needs separate acquire/release, and guarantee the finalizer is called exactly once.

Usage guidance

  • Prefer Resource over try/finally or bracket when composition and cancelation safety matter.
  • Use IO.blocking (or Sync[F].blocking) for acquisition and release when calling blocking JVM APIs.
  • Prefer IO.interruptible/Sync[F].interruptible for blocking use-phase operations inside .use.
  • Use Resource.eval only for effects that do not own a finalizer; it is not a substitute for resource acquisition.
  • use acquires a fresh resource each time. If the same handle must be shared for multiple operations, do those operations inside one .use.
  • For background fibers, use Resource, .background, or Supervisor to ensure cleanup on cancelation.
  • When adding or changing Scala examples, update and compile the bundled scripts/verify-examples.scala script.

References

  • Load references/resource.md for API details, patterns, and examples; the representative check is scripts/verify-examples.scala.
  • For Kotlin/Arrow parallels, see the arrow-resource skill.
  • Install this skill with npx skills add https://github.com/alexandru/skills --skill cats-effect-resource.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cats Effect Resource AI skill do?

Helps agents write and review Scala Cats Effect Resource code. Use for preventing resource leaks and use-after-release bugs, modeling disposable values with Resource, designing Resource-returning factories and constructor-injected services, wrapping Java AutoCloseable values, composing resources, and handling cancellation-safe release.

Why use Cats Effect Resource on TypingMind?

Because you install it once and use it with any model. Cats Effect Resource 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 Cats Effect Resource in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alexandru/skills/tree/main/skills/coding/cats-effect-resource. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cats Effect Resource?

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 Cats Effect Resource?

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

Is the Cats Effect Resource AI skill free?

It is published on GitHub by alexandru. 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.

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