research-review

Skill

Skill

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.

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.

A skill within the ARIS (Auto-claude-code-Research-In-Sleep) framework focused on pixel art generation, allowing AI agents to create pixel art as part of a lightweight, zero-dependency research and creative workflow system built on plain Markdown files.

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.

An autonomous research result analysis skill from ARIS (Auto-claude-code-research-in-sleep), a zero-dependency Markdown-based workflow system that lets AI agents score papers, identify weaknesses, and rewrite narratives overnight.

Skill

Part of ARIS (Auto-Claude-Code-Research-In-Sleep), a skill-based workflow for autonomous AI research that monitors experiments, supports GPU deployment with code review, W&B logging, and targets major ML venues like ICLR and NeurIPS.

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.