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Effect Queues Background

Checked
mepuka·vlatest·other·MIT

This skill manages background effect queues in Effect Queues, streamlining complex interactions and ensuring consistent execution across scenes.

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-queues-background -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-queues-background/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 allows an AI agent to manage and execute a queue of effects in the background. It enables complex, multi-step actions without blocking the main workflow, improving responsiveness and allowing for parallel processing of tasks. The agent can define specific dependencies between effects within the queue.

When to use it

  • Automated workflows: When an AI needs to perform a sequence of actions like sending emails, updating databases, and generating reports, all without interrupting its primary task.
  • Long-running processes: To offload time-consuming tasks (like image processing or complex calculations) so the agent remains responsive to user input.
  • Sequential dependencies: When effects need to be executed in a specific order, with one effect relying on the completion of another.
  • Parallelizable actions: To execute independent effects concurrently for faster overall task completion.

Key capabilities

  • Background execution of effects
  • Effect queue management (add, remove, prioritize)
  • Dependency definition between effects
  • Error handling within the effect queue

Example prompts

  • "Create a background queue to send welcome emails to new users and update their account status."
  • "Add 'generate report' to the end of the existing background queue."
  • “Run the ‘image processing’ effect after the ‘data collection’ effect completes in the background.”

Tips & gotchas

  • Ensure effects within the queue are designed for asynchronous execution and handle potential errors gracefully.
  • Be mindful of resource consumption when running multiple effects concurrently; monitor system load to avoid performance issues.