
π―Skills70
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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 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.
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.
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.
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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.
Part of ARIS (Auto-Research-In-Sleep), a skill-based workflow for autonomous AI research that works as a Claude Code skill or standalone CLI. Performs novelty checking to evaluate whether research ideas are genuinely novel against existing literature.
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.
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An autonomous research workflow for Claude Code that iteratively scores, critiques, runs experiments, and rewrites academic papers while you sleep. Supports multiple LLM backends and works as both a skill-based workflow and a standalone CLI.
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ARIS (Auto-claude-code-Research-In-Sleep) is a skill-based autonomous research workflow that runs Claude Code overnight to score research papers, identify weaknesses, run experiments, and rewrite narratives β implemented as zero-dependency plain Markdown files compatible with Claude Code, Cursor, Windsurf, and other agents.
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An ARIS (Auto-Research-In-Sleep) skill that implements a research-refine pipeline for unattended overnight research, using multi-executor and reviewer workflows with persistent memory, task tracking, and support for multiple LLM providers including Kimi, MiniMax, and GLM.
An ARIS (Auto-Research-In-Sleep) skill that runs automated review loops using MiniMax as the LLM reviewer, enabling unattended code quality improvement with multi-executor workflows and score-based iteration.
Part of ARIS (Auto-Claude-Code-Research-In-Sleep), a lightweight zero-dependency system that lets Claude Code autonomously conduct research while you sleep β scoring papers, identifying weaknesses, running experiments, and rewriting narratives using plain Markdown skill files.
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A proof-writing skill within the ARIS autonomous research framework that helps AI agents produce formal mathematical proofs and rigorous logical arguments during automated research sessions.
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An ARIS (Auto-Claude-Code-Research-in-Sleep) skill for Feishu/Lark notification integration with three modes (off/push/interactive), providing mobile notifications for research experiments, reviews, and checkpoints.
An ARIS skill for automated multi-round research paper review using LLMs, supporting API mode (fast) and browser mode (free) to iteratively improve paper quality toward submission-readiness.
Part of ARIS (Auto-Claude-Code-Research-In-Sleep), a lightweight zero-dependency system that lets Claude Code autonomously conduct research while you sleep β scoring papers, identifying weaknesses, running experiments, and rewriting narratives using plain Markdown skill files.
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Part of the ARIS (Auto-claude-code-research-in-sleep) autonomous research system, this skill provides Semantic Scholar paper search integration for literature surveys, enabling cross-model collaboration where Claude Code drives research while external LLMs provide critical review.
A Claude Code skill from the ARIS (Auto-Research-In-Sleep) framework that plans ablation studies for ML research papers, generating claim-driven experiment roadmaps with budgets and run order as part of autonomous research workflows.
Part of the ARIS (Auto Research In Sleep) framework, enabling autonomous research workflows in Claude Code, Cursor, and Trae through skill-based automation.
A research workflow skill within the ARIS (Auto-claude-code-research-in-sleep) framework that transforms experimental results into formal claims. It is part of a four-layer evidence-and-claim assurance stack (experiment-audit, result-to-claim, paper-claim-audit, citation-audit) for validating and structuring academic research findings.
Checks the progress of autonomous research and training tasks running via ARIS (Auto-claude-code-research-in-sleep), a skill-based workflow for unattended AI research.
Automates academic paper rebuttal writing by parsing reviewer feedback, enforcing coverage, and drafting venue-compliant responses for conferences like ICML.
ARIS (Auto-claude-code-Research-In-Sleep) is a skill-based workflow and standalone CLI that enables autonomous overnight research with Claude Code. It features automated research loops, reviewer routing, and support for third-party Anthropic-compatible proxies.
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