Design engineering system for AI coding agents — ship UI with craft-level quality. Install as an agent skill.

Agent skill: Edward Tufte's data visualization principles for clean, honest, high-data-ink-ratio charts. Recharts, ECharts, Chart.js, matplotlib, Plotly, D3/SVG.

The open-source company brain. Run your entire company with AI agents, skills, and a self-improving context.

AI-native, markdown-first project management. Your repo is the project manager.

Containment for AI agents - user isolation, sandboxed execution, network controls, backup/rollback. TLA+ verified.

LLM-powered OpenFOAM MCP server for intelligent CFD education with Socratic questioning and expert error resolution

💼 One MCP server to search job boards and company career sites

A configurable Bash/PowerShell loop that runs an AI coding CLI with a fresh session each iteration

The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.

A headless browser for AI agents that fetches modern web pages, runs JavaScript, manages sessions, and returns token-efficient Markdown.

Control 1 or more machines using computer use tools that integrates with your agents

MCP server that lets your AI assistant remember everything about your home.

Local-only web GUI for inspecting agent skills (SKILL.md) across user, project, plugin, cache, and marketplace sources

Searchable football data provider documentation for AI coding agents. Like Context7 for football data.

The definitive guide & configuration system for GitHub Copilot CLI — agents, skills, rules, multi-AI orchestration, and more

Catch dangerous AI agent skills before they catch you. Zero-dependency security scanner for Agent Skills, SKILL.md and MCP configs.

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.

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

LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.

Zero-config React with built-in SSR, automated quality gates, and AI-ready project structure - ship clean code whether you write it yourself or with an AI assistant.

The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

Agent-native PowerPoint manipulation — one CLI lets AI agents inspect, edit, create, and verify .pptx files through atomic JSON patches. Packaged as an Agent Skill.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.