Agent Skills Hub

predict-lucky-number

Generates a random lucky number between 0 and 9999 for games, decision-making, or entertainment.

seo-optimizer

Comprehensive SEO optimization tool for web applications. Performs automated site audits, meta tag management, structured data implementation, and technical performance analysis for Next.js, Astro, React, and static sites.

trading-strategies

Framework for building, testing, and deploying automated trading strategies for prediction markets using Python.

autoresearch

Autonomous multi-team codebase improvement agent with specialized modes: narrow (goal-directed), broad (hypothesis-divergent), and sweep (quality-focused).

prompt-injection-test

A testing utility designed to simulate prompt injection attacks and validate security scanners for AI agent skills.

turborepo

High-performance build system for JavaScript/TypeScript monorepos. Optimized for parallel task execution, remote caching, and dependency graph analysis.

qveris

Search and execute dynamic external tools via the QVeris API for real-time data retrieval, stock market analysis, and web-based tasks.

security-assessment

Systematic security assessment using STRIDE threat modeling, OWASP top 10 review, and secure coding practices for code, architecture, and infrastructure.

z-card-image

Automated text-to-image rendering engine for social media posts, article covers, and long-form threads. Supports X-style, WeChat, and poster templates with high-precision text formatting and highlights.

home-assistant-master

Home Assistant OS (HAOS) operations skill for agents. Features read-only diagnostics, automation design, health auditing, and safety-first configuration management.

Agent Communication Debugger

Diagnose and debug Agent-to-Agent (A2A) communication, including orchestrator routing, transport connectivity, agent status, and log analysis for multi-agent systems.

crafting-effective-readmes

Streamline technical documentation by generating, updating, and refining README files. Tailors content for specific audiences including OSS contributors, internal teams, and personal projects.