Stars
Claude Code skills that turn any codebase into an interactive knowledge graph you can explore, search, and ask questions about (Multi-platform e.g., Codex are supported).
OpenStack Exporter for Prometheus
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
An autonomous agent for deep financial research
A script to get Grafana users, teams and their permissions from an LDAP server and keep it in sync.
Sync Grafana Teams from LDAP/Active Directory
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
🔌 Complete MCP server for Zabbix integration - Connect AI assistants to Zabbix monitoring with 40+ tools for hosts, items, triggers, templates, problems, and more. Features read-only mode and compr…
Anthropic's Interactive Prompt Engineering Tutorial
A collection of sample agents built with Agent Development Kit (ADK)
A configuration framework that enhances Claude Code with specialized commands, cognitive personas, and development methodologies.
CLI tool for configuring and monitoring Claude Code
Simultaneous speech-to-text models
An open-source, self-hosted personal AI note tool prioritizing privacy, built using TypeScript .
Pioneering Automated GUI Interaction with Native Agents
A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.
Render any git repo into a single static HTML page for humans or LLMs
computer science dünyasındaki keyifli makaleleri, yazıları ve bazen absürt bulduğumuz okumaları bir araya getiriyoruz. topluluk üyeleri tarafından önerilen ve kategorize edilen makaleler, github’da…
Building a Multi-Agent AI System with LangGraph and LangSmith
Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"