Agent Skills Hub

frontend-design

Build distinctive, production-grade frontend interfaces and web components with high aesthetic quality, avoiding generic AI design patterns.

polars

High-performance in-memory DataFrame library for Python and Rust. Features lazy evaluation, parallel execution, and an Apache Arrow backend for efficient ETL, data processing, and faster pandas alternatives.

mcp-guide

Decision framework for choosing between MCP tools and direct API skills to optimize agent performance, cost, and efficiency.

repository-setup

Standardize git remote configuration and issue tracking for contributors working with forked repositories in the libuipc project.

bmad-planner

Interactive tool for generating Business, Model, Architecture, and Design (BMAD) planning documentation for feature development.

tdd-enforce

Enforce Test-Driven Development (TDD) via pre-commit hooks and CI/CD coverage gates. Automates test execution and ensures compliance with minimum code coverage thresholds.

shift-left-testing

Accelerate software delivery by shifting testing to the earliest development phases, using AI-driven requirements validation, TDD, and automated CI pipelines to reduce defect costs.

mcp-add

Easily configure and add Model Context Protocol (MCP) servers to various AI coding clients like Cursor, Claude, VS Code, and more using an interactive or automated command-line interface.

epic

Create and manage Epics for organizing large-scale feature development, themes, and related issues into a structured project hierarchy.

peon-ping-log

Track exercise reps like pushups and squats for the Peon Trainer. Log progress directly through your AI agent to trigger voice lines and stay motivated while coding.

skill-code-review

Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.

paper-plan

Generate a structured academic paper outline from research narrative, experiment data, and review conclusions.