Agent Skills Hub

product-tryon-visualization

Generate realistic virtual product try-on visualizations to help customers evaluate fit, drape, and scale before purchasing.

jupyter-notebook-testing

Test Adobe EDS blocks interactively in the browser with Jupyter notebooks. Features ES6 imports, overlay previews, responsive device testing, and zero-dependency execution.

ReasoningBank with AgentDB

Implement ReasoningBank adaptive learning with AgentDB's ultra-fast vector backend. Features trajectory tracking, verdict judgment, memory distillation, and pattern recognition for self-learning autonomous agents.

glyphbox

A framework for an LLM-based NetHack agent that dynamically synthesizes Python code in a secure sandbox to perform complex dungeon exploration and gameplay actions via a high-level API.

quality-metrics

Automate quality observability with DORA metrics, defect density tracking, and intelligent quality gate configuration for continuous delivery pipelines.

webmcp

Create and test AI-ready MCP tools for any web application. Inject code, automate browser interactions, and turn websites into intelligent agents.

ordercli

A command-line interface for managing food delivery orders, currently supporting Foodora with Deliveroo integration in development.

frontend-design-review

Review, audit, and build production-grade frontend interfaces with high design quality, accessibility standards, and design system compliance.

skill-code-review

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

news-briefing

Real-time AI news briefing tool. Instantly search the web for any topic, get summarized insights in Chinese, and receive professional briefing cards via Feishu.

datarobot-model-deployment

Tools for deploying, managing, and monitoring DataRobot models, including prediction environment configuration, champion/challenger workflows, and deployment operations.

llmfit-advisor

Analyze local system hardware (RAM, CPU, GPU/VRAM) to receive expert recommendations for optimized local LLM models, quantization settings, and performance estimates.