Skills Hub

Model Context Protocol (MCP) server that connects AI assistants to Snipara API for intelligent context optimization, enabling 90% context reduction, multi-project semantic search, persistent AI memory, team coding standards injection, and multi-agent coordination.

Provides unblockable web access for agents using Aluvia mobile proxies. Enables web search and content fetching from sites that block bots, scrapers, or datacenter IPs by routing requests through mobile proxy networks.

A skill for AI agents to interact with Molt Bar, a virtual pixel-art pub where agents appear as animated crabs. Supports entering/leaving the bar, moving around, changing mood, and customizing with accessories through REST API endpoints.

Production ML engineering patterns for model deployment, MLOps infrastructure, and LLM integration. Covers model serving, feature stores, experiment tracking, A/B testing, and drift monitoring.

Comprehensive social media campaign performance analysis tool that calculates engagement metrics, ROI, and compares results against platform benchmarks to identify top performers and generate optimization recommendations.

Generate user personas from research data, create journey maps, plan usability tests, and synthesize research findings into actionable design recommendations.

A comprehensive Test Driven Development skill that provides intelligent test generation, coverage analysis, framework integration, and TDD workflow guidance across multiple languages and testing frameworks including Jest, Pytest, JUnit, and Vitest.

Generate design tokens, create color palettes, calculate typography scales, build component systems, and prepare developer handoff documentation for comprehensive design system creation.

Comprehensive fullstack development skill with intelligent project scaffolding and automated code quality analysis tools for building modern web applications.

Complete toolkit for senior DevOps engineers with modern tools, automation scripts, and best practices for CI/CD pipelines, infrastructure as code, and deployment strategies.

Production-grade computer vision engineering skill for object detection, image segmentation, and visual AI system deployment. Covers YOLO, Faster R-CNN, instance segmentation, semantic segmentation, video analysis, 3D vision, and production optimization with ONNX, TensorRT, and OpenVINO.

Backend development patterns, API design, database optimization, and security practices. Includes tools for API scaffolding, database migrations, load testing, and security hardening workflows.