loop

Schedule iterative code execution and evaluation tasks for recurring research experiments.

Updated Nov 3, 2016
One-click install
npx skills add https://github.com/xleliberty/mydotfiles --skill loop-xleliberty
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: loop
Source: https://github.com/xleliberty/mydotfiles/tree/main/.config/.claude/plugins/cache/claude-code-skills/engineering-advanced-skills/2.1.2/autoresearch-agent/skills/loop
Command: npx skills add https://github.com/xleliberty/mydotfiles --skill loop-xleliberty

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the challenge of manually managing long-running, iterative research experiments by automating the execution, evaluation, and strategy adjustment cycle.

Core Features & Use Cases

  • Autonomous Scheduling: Run experiments at intervals ranging from 10 minutes to monthly using cron-based scheduling.
  • Iterative Strategy: Automatically reviews results, modifies target files, and evaluates performance without human intervention.
  • Use Case: Use this to run a series of API speed tests or code optimizations overnight, allowing the agent to refine its approach based on previous results.

Quick Start

Start an autonomous experiment loop for the engineering api-speed project by running the loop command with the desired interval.

Frequently Asked Questions about loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate recurring research experiments to run autonomously?

You can automate recurring research experiments by using cron-based job scheduling to manage iterative code execution, evaluation, and strategy updates without manual intervention.

What's the best way to schedule long-running research workflows at regular intervals?

Scheduling long-running research workflows is achieved through cron-based autonomous scheduling, which supports execution intervals ranging from 10 minutes to monthly cycles.

How do I run iterative code optimization tasks overnight and refine the strategy automatically?

Iterative code optimization tasks run overnight by automatically reviewing previous results, modifying target files, and evaluating performance to refine the approach autonomously.

Do I need git integration to manage experiment state for autonomous research workflows?

Yes, git integration is required for version control to manage experiment state, alongside local configuration files that define experiment parameters and constraints.

Can I use local configuration files to define parameters for automated experiment loops?

Local configuration files are used to define experiment parameters and constraints, providing the necessary input for the autonomous scheduling and evaluation cycle.

What are the limitations of using cron-based scheduling for iterative research experiments?

Cron-based scheduling for iterative research experiments requires local configuration files and git integration, meaning it needs a persistent local environment to manage state and strategy updates properly.