ml-researcher-profile

Synchronize researcher identity and tool preferences across Cursor, Codex, and Claude Code.

Updated Jun 7, 2026
One-click install
npx skills add https://github.com/schneidermu/agent-dotfiles --skill ml-researcher-profile
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ml-researcher-profile
Source: https://github.com/schneidermu/agent-dotfiles/tree/main/codex-skills/ml-researcher-profile
Command: npx skills add https://github.com/schneidermu/agent-dotfiles --skill ml-researcher-profile

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It unifies a researcher identity and tool preferences across multiple AI tools and environments, reducing setup friction when resuming work between Cursor, Codex, and Claude Code.

Core Features & Use Cases

  • Identity and preference synchronization across Windows, Mac, and SSH-enabled systems
  • Consistent session rituals and project-state references (CONTEXT.md, AGENTS.md, and PROFILE.md)
  • Onboarding and handoff support for cross-tool ML chemistry research

Quick Start

Load CONTEXT.md, AGENTS.md, and ~/.agents/profile/PROFILE.md to start the resume-project workflow.

Frequently Asked Questions about ml-researcher-profile

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I keep ML research workflows consistent across Cursor, Codex, and Claude Code?

To keep ML research workflows consistent across Cursor, Codex, and Claude Code, you can use a centralized profile at ~/.agents/profile/PROFILE.md to align your researcher identity and tool preferences across these environments.

What is the best way to synchronize Python ML chemistry project settings between Windows and Mac?

Synchronizing Python ML chemistry project settings between Windows and Mac is done by storing a centralized profile and integrating it with CONTEXT.md and AGENTS.md to drive reproducible session management across different operating systems.

How do I start a resume-project workflow for machine learning research after switching environments?

To start a resume-project workflow for machine learning research, load CONTEXT.md, AGENTS.md, and ~/.agents/profile/PROFILE.md to restore your researcher identity, tool preferences, and project state across your current environment.

Does cross-tool profile synchronization work for onboarding teammates on SSH-enabled systems?

Cross-tool profile synchronization works for onboarding teammates on SSH-enabled systems by applying the centralized profile across Windows, Mac, and SSH environments to instantly align researcher identity and tool preferences.

Why do my AI coding assistants lose track of my ML project context when I switch tools?

AI coding assistants lose track of ML project context when switching tools because preferences are not centralized. Integrating PROFILE.md with CONTEXT.md and AGENTS.md ensures consistent session management and identity alignment across tools.