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Effect Concurrency Fibers

Checked
mepuka·vlatest·backend·MIT

This skill manages concurrent effect execution using fibers, streamlining complex workflows and improving performance by isolating side effects.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add mepuka/effect-ontology --skill effect-concurrency-fibers -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

mepuka

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned mepuka/effect-ontology at c148102d57.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
c148102d57
Manifest
.claude/skills/effect-concurrency-fibers/SKILL.md
Scanned
1 file, 83 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables concurrent execution of tasks within an AI agent using fibers. Fibers are lightweight, cooperative threads that allow for efficient handling of multiple operations without the overhead of traditional threading. It facilitates non-blocking I/O and improved responsiveness in scenarios requiring parallel processing.

When to use it

  • Handling Multiple API Requests: When your agent needs to make several API calls concurrently to gather information from different sources.
  • Real-time Data Processing: If the agent is processing a stream of real-time data, fibers can help manage multiple data points without blocking other operations.
  • Event-Driven Systems: When responding to numerous events or signals simultaneously, fibers provide a way to handle them efficiently.
  • Long-Running Tasks: To prevent UI freezes or delays when performing lengthy computations, offload them to fibers and update the main thread periodically.

Key capabilities

  • Fiber creation and management
  • Cooperative task scheduling
  • Non-blocking I/O operations within fibers
  • Lightweight concurrency without traditional threads

Example prompts

  • "Run these three API calls concurrently using fibers."
  • "Process this stream of data in parallel using fibers, updating the UI every 100ms."
  • "Create a fiber to handle this long-running calculation and report progress periodically."

Tips & gotchas

  • Fibers are cooperative; ensure tasks yield control when appropriate to avoid blocking other fibers.
  • This skill requires understanding of asynchronous programming concepts.