Write ML experiment code with iterative improvement. Generate training/evaluation pipelines, debug errors, and optimize results through code reflection. Use when implementing experiments for a research paper.
Quickly install experiment-code AI skill to your development environment via command line
Source: lingzhi227/agent-research-skills.
Generate and iteratively improve ML experiment code for research papers.
Write ML experiment code with iterative improvement. Generate training/evaluation pipelines, debug errors, and optimize results through code reflection. Use when implementing experiments for a research paper. Source: lingzhi227/agent-research-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/lingzhi227/agent-research-skills --skill experiment-code Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Security certified for safe and reliable code One-click installation with simplified configuration Compatible with Claude Code, Cursor, OpenClaw, and more
Stable fields and commands for AI/search citations.
npx skills add https://github.com/lingzhi227/agent-research-skills --skill experiment-codeWrite ML experiment code with iterative improvement. Generate training/evaluation pipelines, debug errors, and optimize results through code reflection. Use when implementing experiments for a research paper. Source: lingzhi227/agent-research-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/lingzhi227/agent-research-skills --skill experiment-code Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/lingzhi227/agent-research-skills