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stevengonsalvez AI Skills

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Browse published AI skills maintained by stevengonsalvez. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

9

Repository stars across indexed skills

65

Repository forks

32

Average repository stars per indexed skill

7

Repository stars may repeat across skills from the same repository.

9 skills

Browse skills

GitHub

frontend-design

stevengonsalvez

Frontend design skill for UI/UX implementation - generates distinctive, production-grade interfaces

GitHub

retro-pdf

stevengonsalvez

Convert markdown documents to professional, retro LaTeX-style PDFs with academic formatting, clickable TOC, and proper citations.

GitHub

tmux-monitor

stevengonsalvez

Monitor and report status of all tmux sessions including dev environments, spawned agents, and running processes. Uses tmuxwatch for enhanced visibility.

GitHub

webapp-testing

stevengonsalvez

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

GitHub

webapp-testing

stevengonsalvez

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

GitHub

crypto-research

stevengonsalvez

Comprehensive cryptocurrency market research and analysis using specialized AI agents. Analyzes market data, price trends, news sentiment, technical indicators, macro correlations, and investment opportunities.

GitHub

frontend-design

stevengonsalvez

Frontend design skill for UI/UX implementation - generates distinctive, production-grade interfaces

GitHub

tmux-monitor

stevengonsalvez

Monitor and report status of all tmux sessions including dev environments, spawned agents, and running processes. Uses tmuxwatch for enhanced visibility.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.