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Arrow Resource

Community
alexandru
arrow-resource

Kotlin + Arrow Resource lifecycle discipline with `Resource`, `ResourceScope`, `resourceScope`, and context parameters. Use for safe acquisition/release of files, streams, DB pools/connections, HTTP clients, background scopes, or multipart parts; preventing resource leaks and use-after-close bugs; designing companion `Resource` builders; using `arrow-autoclose` when only synchronous `AutoCloseable` cleanup is possible; composing resources with typed errors, cancellation, or parallel acquisition.

Overview

Publisheralexandru
Repositoryskills
Skill namearrow-resource
Stars
51
Forks
3
Bundled files
2
Links
Skill sourceRepository
  • 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 Arrow 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/arrow-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/arrow-resource .claude/skills/arrow-resource
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Arrow 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 Arrow 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 Arrow 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.

Arrow Resource (Kotlin)

Quick start

  • Treat every disposable handle as scoped: wrap it in Resource and acquire it only inside resourceScope, resource {}, or Resource.use.
  • Prefer arrow.fx.coroutines.resource.context imports for context-parameter-friendly resource, resourceScope, bind, install, and autoCloseable.
  • Never return a disposable value from resourceScope { ... }, resource { ... }, or resource.use { ... }; that returns a closed handle.
  • Classes must not allocate owned resources in ordinary constructors. Use a companion builder returning Resource<Class> or requiring context(ResourceScope).
  • If suspend Resource cannot be used, use arrow-autoclose/AutoCloseable with the same no-leak discipline.
  • Read references/resource.md before writing examples, reviews, or new APIs.

Workflow

  1. Identify every owned disposable dependency and its release action.
  2. Move acquisition into a Resource recipe or context(ResourceScope) builder.
  3. Compose resources into higher-level resources with .bind() or context-parameter builders.
  4. Keep resource handles private to the scoped object; expose operations, not the raw handle.
  5. Execute at lifecycle boundaries with resourceScope/.use, and keep finalizers idempotent.

Usage guidance

  • Prefer Resource over use/try/finally for suspend finalizers, cancellation awareness, composition, or multiplatform code.
  • Use context parameters for scoped capabilities: context(_: ResourceScope) suspend fun acquire....
  • Use ExitCase when release behavior depends on success, failure, or cancellation.
  • Resource is FP-style ownership: acquisition and finalization are values/effects that compose; hidden side-effectful constructors are a design smell.
  • When changing examples, update and run the bundled scripts/verify-examples.kt check.

References

  • Load references/resource.md for rules, source links, and typechecked examples.

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 Arrow Resource AI skill do?

Kotlin + Arrow Resource lifecycle discipline with `Resource`, `ResourceScope`, `resourceScope`, and context parameters. Use for safe acquisition/release of files, streams, DB pools/connections, HTTP clients, background scopes, or multipart parts; preventing resource leaks and use-after-close bugs; designing companion `Resource` builders; using `arrow-autoclose` when only synchronous `AutoCloseable` cleanup is possible; composing resources with typed errors, cancellation, or parallel acquisition.

Why use Arrow Resource on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alexandru/skills/tree/main/skills/coding/arrow-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 Arrow 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 Arrow Resource?

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

Is the Arrow 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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