loop

Schedule recurring experiment runs with cron and persist loop state.

Updated Jun 2, 2026
One-click install
npx skills add https://github.com/ano4l/SiteRent --skill loop-ano4l
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: loop
Source: https://github.com/ano4l/SiteRent/tree/main/skills/autoresearch-agent/skills/loop
Command: npx skills add https://github.com/ano4l/SiteRent --skill loop-ano4l

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Automates the setup and ongoing management of autonomous experiments by creating and supervising recurring loops that execute experiments on a schedule.

Core Features & Use Cases

  • Scheduled experiments: create and maintain cron-based loops for regular experiment runs.
  • Progress tracking: persist loop state and result metadata in a simple lifecycle.
  • Guardrails: auto-expire loops, limit concurrent runs, and provide stop/restart controls for reliability.
  • Use Case: A data science team wants nightly experiments to validate model drift and collect results over time.

Quick Start

Select an experiment and interval, then confirm to start an autonomous loop that runs on the chosen schedule.

Frequently Asked Questions about loop

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

FAQPage Schema
How do I automate scheduled experiments and track their progress?

Scheduled experiments use cron-based loops to execute recurring runs, persisting state and result metadata in a simple lifecycle via loop.json for ongoing progress tracking.

What is an autonomous experiment loop and when do I need one?

An autonomous experiment loop is a recurring, scheduled execution of a research workflow that automatically tracks progress. You need one for regular re-evaluation of experiments, interval-based backtesting, and long-running data generation.

How do I set up a recurring loop for nightly data generation?

To set up a recurring loop for nightly data generation, select your target experiment and the desired interval, then confirm to start the autonomous loop running on the chosen cron schedule.

Can I limit concurrent runs or auto-expire recurring experiment schedules?

Yes, built-in guardrails allow you to limit concurrent runs and auto-expire recurring experiment schedules, providing safe stop and restart controls for reliable loop lifecycle management.

Do I need external dependencies to manage cron-based experiment scheduling?

No external dependencies are required to manage cron-based experiment scheduling, as the skill handles endpoint scheduling, loop state persistence, and lifecycle controls entirely through its internal scripts.