What is meta-manuscript-assembly?
Assemble publication-ready meta-analysis manuscripts with tables, figures, and references. Use when completing systematic review/meta-analysis manuscripts for journal submission. Source: htlin222/dotfiles.
Assemble publication-ready meta-analysis manuscripts with tables, figures, and references. Use when completing systematic review/meta-analysis manuscripts for journal submission.
Quickly install meta-manuscript-assembly AI skill to your development environment via command line
Source: htlin222/dotfiles.
Complete systematic review and meta-analysis manuscripts for journal submission by creating publication-ready tables, figures, and references.
Assemble publication-ready meta-analysis manuscripts with tables, figures, and references. Use when completing systematic review/meta-analysis manuscripts for journal submission. Source: htlin222/dotfiles.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/htlin222/dotfiles --skill meta-manuscript-assembly 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/htlin222/dotfiles --skill meta-manuscript-assemblyAssemble publication-ready meta-analysis manuscripts with tables, figures, and references. Use when completing systematic review/meta-analysis manuscripts for journal submission. Source: htlin222/dotfiles.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/htlin222/dotfiles --skill meta-manuscript-assembly 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/htlin222/dotfiles