paper-illustration
π―Skillfrom wanshuiyin/auto-claude-code-research-in-sleep
Same repository
wanshuiyin/auto-claude-code-research-in-sleep(70 items)
Installation
npx vibeindex add wanshuiyin/auto-claude-code-research-in-sleep --skill paper-illustrationnpx skills add wanshuiyin/auto-claude-code-research-in-sleep --skill paper-illustration~/.claude/skills/paper-illustration/SKILL.mdMore from this repository10
Skill
Skill
A skill within the ARIS framework that runs an automated iterative review loop β executing, scoring, identifying weaknesses, and rewriting research papers or code autonomously overnight, so users wake up to improved, higher-scoring outputs.
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 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 research pipeline skill from ARIS (Auto-claude-code-research-in-sleep) that orchestrates autonomous multi-step research workflows β scoring papers, identifying weaknesses, running experiments, and rewriting narratives β using plain Markdown skill files compatible with Claude Code, Cursor, Trae, and more.
Part of ARIS (Auto-claude-code-research-in-sleep), a skill for autonomous ML research workflows that orchestrates cross-model collaborationβClaude Code drives research while an external LLM acts as critical reviewer, enabling paper scoring, weakness identification, experiment execution, and narrative rewriting autonomously.
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.