tlc-spec-driven
Plesk Extensions Guide MCP Server: AI-powered semantic search for Plesk extension development documentation using RAG and vector embeddings.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
Plesk Extensions Guide MCP Server: AI-powered semantic search for Plesk extension development documentation using RAG and vector embeddings.
A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup
framework-selection is a package responsible for calling prompts in a specific format, utilizing LangChain, LangGraph, and Deep Agents for layered architecture
azure-diagrams is a skill that generates visual representations of Azure infrastructure, supporting ARM templates, Azure CLI output, and natural language descriptions.
Two Brave Search Goggles designed to rerank search results based on the reliability of sources as determined by the Wikipedia community.
yandex-competitive-analysis is a skill that provides tools for analyzing competitors and finding opportunities in Russian and CIS search markets.
create-adr is an AI agent skill that automates the creation of Architecture Decision Records (ADRs) for project documentation and review
Architecture-patterns is a skill that enables developers to make informed, objective decisions about software architecture, following a fundamental rule of objectivity.
seo-optimizer is a skill that analyzes and optimizes web applications for search engine discoverability through semantic communication.
langchain4j-vector-stores-configuration is a setup for configuring vector stores in LangChain4J, used for Retrieval-Augmented Generation applications and semantic search in Java.
google-drive is a command-line interface for interacting with Google Drive using gogcli, allowing for file listing, searching, and management.
AI knowledge management agent with auto-learning and semantic search. Integrates with Slack or use A2A API for multi-agent systems. Built with Anthropic Claude, Go, and pgvector. Automatically captures institutional knowledge. Customizable, multilingual, production-ready.