This skill evaluates ML research papers following ICML guidelines, providing comprehensive, literature-grounded feedback across claims, methods, experiments,
npx playbooks add skill sundial-org/skills --skill icml-reviewer
The Icml Reviewer skill evaluates machine learning research papers according to ICML guidelines, providing comprehensive feedback on claims, methods, and experiments, grounded in relevant literature. This tool enables developers to assess the validity and quality of research papers in the field of machine learning. A developer would use the Icml Reviewer skill when they need to review and provide feedback on machine learning research papers, ensuring they meet the standards set by ICML guidelines.
Its 17-word system prompt specializes your agent in code review & quality with structured methodology and proven output formats. Install with one command to activate immediately.
This skill evaluates ML research papers following ICML guidelines, providing comprehensive, literature-grounded feedback across claims, methods, experiments,
Icml Reviewer is a free code review & quality skill for AI coding agents. This skill evaluates ML research papers following ICML guidelines, providing comprehensive, literature-grounded feedback across claims, methods, experiments,. It provides a specialized system prompt that configures your agent with code review & quality expertise.
Run npx playbooks add skill sundial-org/skills --skill icml-reviewer in your terminal to install Icml Reviewer into your Claude Code session. It works immediately after installation.
Icml Reviewer is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Icml Reviewer is completely free and open source. The full source is available on GitHub at https://github.com/sundial-org/skills/tree/main/skills/icml-reviewer. You only need a subscription to the AI agent you use it with.
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