autonomous-llm-research

What problem does it solve?

This Skill automates the entire process of LLM post-training research, from initial ideas to final reports, enabling self-improving AI agents.

Core Features & Use Cases

• End-to-end research automation: Manages literature review, hypothesis generation, experiment planning, training, evaluation, and reporting.
• Stateful and resumable: Persists all research artifacts and can resume long-running tasks.
• Use Case: Start a new research project on a novel LLM alignment technique with a simple prompt, and the agent will autonomously conduct the literature review, propose hypotheses, plan experiments, and even initiate training runs.

Quick Start

Use the autonomous-llm-research skill to start a new research project on improving LLM factuality.