Auto-claude-code-research-in-sleep: Auto-claude-code-research-in-sleep (ARIS) is a set of custom Claude Code skills for autonomous ML research workflows. It orchestrates cross-model collaboration, with Claude Code executing research tasks and an external LLM (like GPT-5.4) critically reviewing. This system can autonomously discover ideas, run experiments, and write/refine research papers, allowing researchers to wake up to ready-to-submit results.; ontology-atlas: Understand what your codebase builds, why it is structured that way, and what a change could affect. One shared Markdown ontology for humans and coding agents—visualized for people, accessible to agents through MCP, and reviewed with Git. Local-first. Open source.
Explore new research areas and discover novel ideas through literature surveys and brainstorming.
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