Collection of Apify agent skills
Declarative management of Agent Skills on Nix
Code Execution Sandbox Platform Solution for Individuals and Small Teams with MCP
Autoresearch ALL THE THINGS. RLVR for the masses.
Review code 100X faster. Lens draws every PR as animated architecture and data-flow walkthroughs, inside the pull request itself. Use it as a GitHub App, GitHub Action, CLI, or a skill for your coding agent
AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix
GitHub's official MCP Server
A bridge between Streamable HTTP and stdio MCP transports

A dev environment for AI agents.
Unified AI Development Framework - BMAD phases with Ralph execution loop

MCP Server to previewing mermaid diagrams with live reload
MCP server, CLI, and agent skills for Pipefy.
Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.
MCP tool lists eat 71,929 tokens at 255 tools — more than half a 128K window before you ask anything. mcptoon reads the same tools back at 581 (-99.2%, measured). 128KB CLI, zero deps. Compute your own: activeing123.github.io/mcptoon/tools/token-tax
Community collection of Apify agent skills for AI coding assistants
Tmux-native orchestrator for AI agent sessions. Rust + ratatui.
Cofounder is a project harness that turns your AI coding agent into a technical cofounder.
The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
Personal memory across agents
Agent Skills for Solopreneurs
The IDE built for AI coding agents.
TUI for reviewing diffs, files, and documents with inline annotations
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
The implementation of Model Context Protocol (MCP) server for VictoriaMetrics