Fantasy Premier League Kotlin/Compose Multiplatform sample
Claude Code skill plugins for financial services — 81 skills across 7 domain plugins covering investment management, compliance, advisory practice, trading, and operations.
Quickly reads webpages and converts to markdown for fast, token efficient web scraping

Context Engineering: Build Consistent, Accurate, Predictable AI Systems
Search, archive, and recall your AI conversations. ChatGPT, Claude, Gemini, Grok, Kimi. Local-first, MIT licensed.
AI-to-AI communication protocol for Claude, Gemini, and other AI assistants
Open-source FRED MCP Server (Federal Reserve Economic Data)
MCP server enabling agents to debug HTTP requests better (using powhttp)
Data Analytics skills for BigQuery
The LLM Council works together to answer your hardest questions

Portable Agent Skills for building and maintaining Open Knowledge Format project wikis in plain Markdown.

Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)
Learn AI and LLMs from scratch using free resources
All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.
A Python library for building AI agents that leverage the full power of Google Antigravity.
Semantic Search & Call Graphs for AI Agents (100% Local)
Grounded Docs MCP Server: Open-Source Alternative to Context7, Nia, and Ref.Tools
Supercharge AI coding agents with portable skills. Install, translate & share skills across Claude Code, Cursor, Codex, Copilot & 40 more
User-Centered Product Development Prompt Templates & Agent Configurations

Watch a Claude Code or Codex session as a live flow graph, in your terminal or your browser.
Outworked - Cozy Office for Claude Code
A mechanism for discovering Agent Skills using the .well-known URI path prefix as specified in RFC 8615 for discovering Agent Skills.

ColecoVision emulator, debugger and embedded MCP server for macOS, Windows, Linux, BSD and RetroArch.
Skills, prompts, and instructions for building AI agents on top of Dynatrace production context