grant-proposal

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.

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.

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.