auto-review-loop-llm

An ARIS (Auto-Research-In-Sleep) skill that helps AI agents generate publication-quality academic figures, covering data visualization, plot formatting, and figure composition for research papers.

A research skill that systematically generates, validates, and ranks publishable research ideas by surveying recent arXiv literature, brainstorming with external LLMs, running lightweight pilot experiments, and scoring for novelty and feasibility.

A literature research skill from ARIS (Auto-claude-code-research-in-sleep), a zero-dependency workflow system that enables AI agents to autonomously conduct research, review papers, and iterate on scientific writing overnight.

A research automation skill that orchestrates a full idea discovery pipeline, chaining literature research, idea creation, novelty checking, and research review into a validated workflow.

An AI agent skill for automated academic paper research using Claude Code, providing autonomous arXiv paper discovery, scoring, weakness analysis, experiment execution, and narrative rewriting while you sleep.

Part of ARIS (Auto-Claude-Code-Research-In-Sleep), a lightweight zero-dependency system that lets Claude Code autonomously conduct research while you sleep — scoring papers, identifying weaknesses, running experiments, and rewriting narratives using plain Markdown skill files.

A skill within the ARIS framework that runs an automated iterative review loop — executing, scoring, identifying weaknesses, and rewriting research papers or code autonomously overnight, so users wake up to improved, higher-scoring outputs.

Part of ARIS (Auto-claude-code-research-in-sleep), a skill for autonomous ML research workflows that orchestrates cross-model collaboration—Claude Code drives research while an external LLM acts as critical reviewer, enabling paper scoring, weakness identification, experiment execution, and narrative rewriting autonomously.

A full paper writing pipeline that orchestrates outline planning, figure generation, LaTeX writing, PDF compilation, and automated review-improvement loops to go from a narrative research report to a polished, submission-ready PDF.

A research pipeline skill from ARIS (Auto-claude-code-research-in-sleep) that orchestrates autonomous multi-step research workflows — scoring papers, identifying weaknesses, running experiments, and rewriting narratives — using plain Markdown skill files compatible with Claude Code, Cursor, Trae, and more.