KS
Killer-Skills

arrow-resource — how to use arrow-resource how to use arrow-resource, what is arrow-resource, arrow-resource alternative, arrow-resource vs buffer, arrow-resource install, arrow-resource setup guide, kotlin resource management, social media sharing api, parallel acquisition in kotlin

v1.0.0
GitHub

About this Skill

Perfect for Kotlin-based AI Agents needing efficient resource management and parallel acquisition capabilities. arrow-resource is a Kotlin-based service that helps share content across multiple social media platforms at once, using resourceScope and resource definitions.

Features

Uses `resourceScope { ... }` for lifecycle boundary management
Defines resources with `resource { install(acquire) { a, exitCase -> release } }`
Composes resources with `.bind()` for dependent acquisition
Supports parallel acquisition using `parZip`
Provides reusable constructors on `ResourceScope` for customized workflows
Follows patterns and examples outlined in `references/resource.md`

# Core Topics

alexandru alexandru
[0]
[0]
Updated: 3/7/2026

Quality Score

Top 5%
38
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add alexandru/social-publish/arrow-resource

Agent Capability Analysis

The arrow-resource MCP Server by alexandru is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use arrow-resource, what is arrow-resource, arrow-resource alternative.

Ideal Agent Persona

Perfect for Kotlin-based AI Agents needing efficient resource management and parallel acquisition capabilities.

Core Value

Empowers agents to manage complex social media workflows by composing resources with `.bind()` and utilizing `parZip` for independent parallel acquisition, all while ensuring safe resource release using `resourceScope` and `install` with `acquire` and `release` steps.

Capabilities Granted for arrow-resource MCP Server

Automating social media posting across multiple platforms
Implementing reusable resource constructors for streamlined workflows
Debugging resource acquisition and release issues with `resource { install(acquire) { a, exitCase -> release } }`

! Prerequisites & Limits

  • Requires Kotlin programming language
  • Self-hosted service needed
  • Manual implementation of acquire and release steps required
Project
SKILL.md
994 B
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

Arrow Resource (Kotlin)

Quick start

  • Use resourceScope { ... } at lifecycle boundaries.
  • Define each resource with resource { install(acquire) { a, exitCase -> release } }.
  • Compose with .bind(); use parZip for independent parallel acquisition.
  • Read references/resource.md for patterns and concrete examples.

Workflow

  1. Identify the acquire step and the release step.
  2. Implement a Resource<A> using install.
  3. Create reusable constructors on ResourceScope when needed.
  4. Compose resources into higher-level resources with .bind().
  5. Execute in resourceScope and keep finalizers idempotent.

Usage guidance

  • Prefer Resource over use/try/finally when you need suspend finalizers or MPP support.
  • Use ExitCase to handle rollback/cleanup differences.
  • When mixing with typed errors, pick nesting order deliberately to control ExitCase seen by finalizers.

References

  • Load references/resource.md for API details and end-to-end examples.

Related Skills

Looking for an alternative to arrow-resource or building a Categories.community AI Agent? Explore these related open-source MCP Servers.

View All

widget-generator

Logo of f
f

widget-generator is an open-source AI agent skill for creating widget plugins that are injected into prompt feeds on prompts.chat. It supports two rendering modes: standard prompt widgets using default PromptCard styling and custom render widgets built as full React components.

149.6k
0
Design

chat-sdk

Logo of lobehub
lobehub

chat-sdk is a unified TypeScript SDK for building chat bots across multiple platforms, providing a single interface for deploying bot logic.

73.0k
0
Communication

zustand

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication

data-fetching

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication