Schedule and execute autonomous experiment loops at user-defined intervals.
npx skills add https://github.com/Patasse97/claude-skills --skill loop-patasse97
Please help me install this Agent Skill. Skill: loop Source: https://github.com/Patasse97/claude-skills/tree/main/engineering/autoresearch-agent/skills/loop Command: npx skills add https://github.com/Patasse97/claude-skills --skill loop-patasse97
Automates the scheduling and execution of long-running experiments by looping them at user-defined intervals, eliminating manual restarts and monitoring tasks.
Start a loop for a specific experiment by running /ar:loop engineering/api-speed 10m to schedule a 10-minute interval.
High-intent search queries and answers about installing and using this skill.
To schedule recurring experiments automatically, you can launch autonomous experiment loops with user-defined intervals like 10m, 1h, daily, weekly, or monthly. This eliminates manual restarts by handling creation, monitoring, and stopping.
The best way to monitor and stop long-running experiment loops is through autonomous management features. This allows you to create, monitor, and stop scheduled loops with minimal manual intervention, persisting configuration and history for traceability.
Autonomous experiment looping handles state persistence by saving configuration and history to .autoresearch/{domain}/{name}/loop.json. This ensures complete traceability and reproducibility of your scheduled experiment runs.
Yes, you can use a 10-minute interval for scheduling automated experiments. The system supports granular interval options including 10m, 1h, daily, weekly, and monthly, allowing flexible scheduling for various autonomous research needs.
Yes, you need .autoresearch configurations to run scheduled experiment loops. The system reads experiment targets directly from these configurations to automate scheduling and execution at your defined intervals.
You use autonomous experiment loops instead of manual restarts to automate scheduling and execution of long-running experiments. This eliminates manual monitoring tasks while providing traceable records persisted to .autoresearch for auditability and reproducibility.
xlelibertyStandardize research experiment initialization with domain parameters and evaluation criteria.
ano4lResume paused autoresearch experiments by reloading branch context and results history.
4lermanStart and manage autonomous experiment loops with custom scheduling intervals.
SigmacodeatGenerate cron expressions and update scheduled jobs with time-zone awareness.
