Agent skills that make AI coding assistants write production-grade robotics software. ROS1, ROS2, design patterns, SOLID principles, and testing — for Claude Code, Cursor, Copilot, and any SKILL.md-compatible agent.
An instruction layer for AI coding agent
Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling.
The implementation of Model Context Protocol (MCP) server for VictoriaMetrics
🚀 UE5-UMG-MCP: A deep-focused MCP for Unreal Engine UMG layout. Designed to maximize AI efficiency within limited context windows by prioritizing precision in UI structure, animations, and blueprint integration.
Offline security scanner for AI-agent repos, skills, plugins, and MCP servers.
A curated list on AI token economics: what tokens cost, where they get wasted, and how to cut the bill. Tools, benchmarks, papers, and copy-paste configs for the token economy of LLMs and coding agents.
The implementation of Model Context Protocol (MCP) server for VictoriaLogs.
Agent Skill that silently refines prompts for the currently running model
Data Analytics skills for BigQuery
Ontology-based MCP server that analyzes database schemas (PostgreSQL, Snowflake, ClickHouse, Dremio) and generates RDF/OWL ontologies with SQL mappings for fan-trap-free Text-to-SQL.
Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.