aris-autonomous-ml-research
OfficialAutonomous ML research & paper writing.
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the entire machine learning research lifecycle, from idea generation and literature review to paper writing and compilation, enabling hands-off overnight research.
Core Features & Use Cases
- Autonomous Research Pipeline: Orchestrates idea discovery, cross-model review loops, and paper writing.
- Cross-Model Review: Utilizes an adversarial reviewer model (e.g., Codex) to identify blind spots and improve work quality.
- Automated Paper Generation: Compiles research findings into a LaTeX-based PDF with anti-hallucination citations.
- Use Case: A researcher can initiate a full pipeline with a single prompt like
/research-pipeline "token-level uncertainty calibration in autoregressive LMs"and wake up to a scored, compiled paper.
Quick Start
Initiate the full autonomous research pipeline by running the command /research-pipeline "your research direction".
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: aris-autonomous-ml-research Download link: https://github.com/Aradotso/trending-skills/archive/main.zip#aris-autonomous-ml-research Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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