What is win-loss-dataset?
Structure for capturing qualitative + quantitative win/loss insights with consistent tagging. Source: gtmagents/gtm-agents.
Structure for capturing qualitative + quantitative win/loss insights with consistent tagging.
Quickly install win-loss-dataset AI skill to your development environment via command line
Source: gtmagents/gtm-agents.
Structure for capturing qualitative + quantitative win/loss insights with consistent tagging. Source: gtmagents/gtm-agents.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/gtmagents/gtm-agents --skill win-loss-dataset 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/gtmagents/gtm-agents --skill win-loss-datasetStructure for capturing qualitative + quantitative win/loss insights with consistent tagging. Source: gtmagents/gtm-agents.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/gtmagents/gtm-agents --skill win-loss-dataset 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/gtmagents/gtm-agents