auto-review-loop-llm

What problem does it solve?

This Skill automates the iterative process of research review, allowing an LLM to critique work, suggest fixes, and re-evaluate until a satisfactory outcome is achieved, significantly accelerating the research improvement cycle.

Core Features & Use Cases

• Autonomous Iteration: Manages a loop of review, fix implementation, and re-review up to a defined maximum number of rounds.
• LLM Integration: Supports any OpenAI-compatible LLM API for critical external review, configurable via MCP server or environment variables.
• Use Case: A researcher can trigger this skill with a research paper draft and a topic. The skill will then autonomously engage an external LLM to identify weaknesses, suggest improvements, and guide the researcher through revisions until the paper meets a high standard for submission.

Quick Start

Trigger the auto review loop llm skill with the topic 'improving transformer efficiency'.