autoresearch

You can automate AI research project management by using a two-loop architecture that handles rapid experiment iterations, result synthesis, and research direction adjustment to produce final presentations and papers.

A two-loop architecture for autonomous research uses an inner loop for rapid experiment iterations and an outer loop for result synthesis and research direction adjustment. This mechanism automates continuous agent operation for project progression.

To start an autonomous research project, execute the `/start_research project_name research_question` command to trigger experiment orchestration, continuous agent operation, and research presentation generation.

Yes, you need Claude Code for agent continuity and OpenClaw for task scheduling to support continuous agent operation. These dependencies are required to maintain the autonomous research loop and execute scheduled experiments.

Yes, you can use this Skill for rapid experiment iterations and result synthesis. The inner loop automates experiment execution while the outer loop synthesizes results and adjusts research directions accordingly.

Limitations include the strict dependency on Claude Code and OpenClaw for task scheduling and agent continuity. Without these tools, the continuous operation and experiment orchestration required for the two-loop architecture cannot function.