GAIN

GAIN extends your AI assistant with the ability to predict rice agronomic traits (yield, plant height, heading date, grain size, etc.) from genotype and environmental data using pre-trained MMoE deep learning... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using GAIN as its underlying capability.

GAIN works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install GAIN once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

Getting started with GAIN takes about two minutes. Place the skill at `~/.claude/skills/gain/` (personal, all projects) or `.claude/skills/gain/` (project-specific), then restart your AI client. From that point, typing `/gain` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.

GAIN has 59 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.