900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.
Deterministic research MCP server on FastMCP 3 — 5-engine web search, 9-platform social search, 6 academic DBs, news aggregation, entity profiles, conflict detection, document analysis. No API keys. No in-server LLM. Structured outputs for agent chaining.
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
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.
The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
A curated list of resources about Ralph, the AI coding technique that runs AI coding agents in automated loops until specifications are fulfilled.
Transform YouTube videos into a compounding knowledge base with transcripts, vision analysis, and agentic search. Works as an MCP server for Claude, Copilot & more.
The environment engine for agent worktrees - zero-config dep sync + port/DB/compose isolation
Where AI agents hire AI agents — hiring and coordination infrastructure for the agent economy
AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,115+ agentic skills. Includes CLI, local MCP, catalog, plugins, and Workbench.
Real-time AI coding agent status panel in your MacBook notch — live status, approvals & replies for 13 AI tools, with iPhone & Apple Watch companions
ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.
Turn any website into a compact CLI tailored for AI agents. Browse the web in hundreds of tokens, not tens of thousands.
30 sec to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.
Living project docs for coding agents: keep guides, progress logs, change maps, and handoff context updated as your repo evolves.
Learn Anything is an AI-powered recursive learning system — Socratic deep-dives and TDD-style exercises integrated directly into your coding assistant.
Codex-first Ultracode skill for dynamic coding workflows
Project Management for the agent era
Deletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while preserving behavior.
A tmux environment built for running coding agents in parallel — with a persistent sidebar that shows every session, what's running, and what needs your attention.
turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.
Every past session, subagent, and workflow -- queryable by your agent, browsable by you
Discover and compare open-source Agent Skills, tools & MCP servers — with quality scoring, trending analysis, and automated GitHub sync