codex Tools

Obsidian Skills is a set of tools that enables AI agents to read from and write to Obsidian vaults using its command-line interface and open formats like Markdown and JSON Canvas. It solves the problem of AI assistants being unable to directly access or manipulate personal knowledge bases, bridging the gap between conversational AI and structured note-taking. It's designed for developers, researchers, and power users who want their AI agents to seamlessly integrate with and act upon their Obsidian-based knowledge systems.

holaOS is an open-source, all-in-one workspace for AI agents. It solves the problem of fragmented AI tools by letting you run any agent (like Claude Code or Codex) across your entire digital environment—100+ integrations, apps, browser, and files—with shared memory for seamless context. It's built for developers and teams who want to centralize their AI workflows, offering built-in models or the flexibility to bring your own keys.

Orca is an Agent Development Environment (ADE) that lets you run and manage multiple AI coding agents like Claude Code, Codex, and OpenCode in parallel, within isolated worktrees. It solves the problem of coordinating and reviewing output from a fleet of agents by providing integrated terminals, a file editor, and git tracking to keep all branches moving. It's designed for developers and teams who want to automate and scale their coding workflows using multiple AI assistants simultaneously.

Agent-Skills is a collection of 24 production-grade engineering skills that encode senior-level workflows and judgment for AI coding agents. It solves the problem of inconsistent, low-quality AI-generated code by providing structured, phase-specific commands that guide agents through the entire software lifecycle—from specification to deployment. It's designed for developers and teams using AI coding assistants like Claude Code, Cursor, or GitHub Copilot to ensure their agents produce reliable, maintainable, and production-ready code.

LoopX is a lightweight, agent-agnostic state kernel designed to manage long-running AI agent teams. It solves the problem of coordination, state persistence, and verifiable handoffs between different AI coding agents like Codex and Claude Code. With features like durable goals, quota-aware auto-wake, and executable todos, it provides the backbone for reliable, persistent AI team workflows. It's built for developers and engineers orchestrating complex, multi-agent AI systems that need to run continuously and maintain state across sessions.

ADR is a production-proven system for securing enterprise AI agents built on the Model Context Protocol (MCP). It solves the critical challenges of limited observability, insufficient robustness, and high detection costs by providing comprehensive telemetry, systematic red teaming, and scalable, two-tier detection. It is designed for large enterprises deploying AI agents at scale, as demonstrated by its deployment at Uber.

A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows