Agent Skills Hub

ui-ux-reviewer

Analyze UI/UX quality against 4 authoritative standards (NNg, Laws of UX, Apple HIG, WCAG) to receive actionable design and accessibility improvements for mobile and web components.

debugging-strategies

Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.

senior-data-engineer

World-class senior data engineering skill for building scalable data pipelines, ETL/ELT systems, and modern data infrastructure using Python, Spark, dbt, and Kafka.

static-site-generation

A framework for managing static site generator (SSG) projects using Astro, including build optimization, GitHub Pages deployment patterns, and type-safe content collection schemas.

backend-core

Language-agnostic backend architectural patterns covering API design, authentication, security protocols, and database modeling.

dev

Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.

cloudflare-manager

Manage Cloudflare DNS, tunnels (cloudflared), and Zero Trust policies directly from your terminal to expose local services and secure domains.

devops

Manage CI/CD workflows, Docker containerization, and infrastructure configurations for the multi-chain crypto wallet system.

code-auditing

A systematic code auditing framework for identifying technical debt, security vulnerabilities, dead code, and code quality issues in software projects.

agentic-workflows

Build production-grade AI agents using LangGraph, Anthropic/OpenAI/vLLM, and structured outputs. Features streaming, A2A protocol, Pydantic validation, vector memory, and guardrails for resilient, multi-agent workflows.

long-running-agent

Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.

receiving-code-review

Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.