This is a repository that provides a single collection of 202 agents, 184 skills, and 105 commands designed to work across seven different coding environments—Claude Code, OpenAI Codex CLI, Cursor, OpenCode, Antigravity CLI, GitHub Copilot, and Pi. Each tool uses a "harness" that loads and runs these components according to its own capabilities, with adapters translating the source Markdown format into whatever format each tool needs.

• The system includes 94 plugins (92 local, 2 external) covering Python, JavaScript, code review, testing, infrastructure, and security work, with installation methods varying by target tool.
• Components are maintained once in Markdown source format, then automatically adapted to each harness's requirements—model aliases, tool permissions, and command formats differ by platform.
• Installation ranges from simple marketplace commands (Claude Code, Cursor) to cloning the repo and running make commands (OpenCode, Antigravity, GitHub Copilot, Pi), with individual skills installable via gh skill or npx.

Claude Code lets your independent sessions message each other to share findings, coordinate work, and report status without you manually copying information between terminals. Messages are delivered between tool calls and filtered through permission controls that prevent sessions from approving actions or changing configuration on each other's behalf. You can prompt Claude to send a message, or it'll detect when another session needs information and send it automatically.

• Claude Code sessions (v2.1.224+, macOS/Linux) can now message each other automatically or on request, using ListAgents/SendMessage tools, without interrupting running processes.
• Cross-machine messaging is one-way by default—remote or web sessions can only reply to existing threads, not initiate them, and replies from sessions without Remote Control arrive without a return address.
• Incoming messages are treated as system info, not user commands, so they can't approve permissions, change config, or run commands—permission prompts still trigger as normal.
• Inbound behavior is configurable per session via crossSessionInbound, with automatic naming (e.g. "myapp-3f") and /list-agents to see reachable sessions.

This article shows how to combine Obsidian for note capture, Claude Code for automated knowledge processing, and Hermes Agent for continuous task execution into a single system that scales a one-person company. Built in sequence, the vault accumulates raw inputs, the AI agent organizes and connects your knowledge, and a background agent handles repeatable tasks while learning from each run.

• Obsidian's Raw folder acts as an unsorted dump; Claude Code reads it, extracts concepts, and auto-links them into a growing wiki-style knowledge map.
• Claude Code drafts real outputs (emails, proposals, blog posts) using vault content directly, so accumulated notes compound into better writing over time.
• Hermes Agent runs in Telegram-like interfaces to execute routine tasks (customer replies, research, follow-ups) and converts each completed run into a reusable "skill" that speeds up future tasks.
• The three tools chain together into one pipeline—capture, process/draft, act—replacing separate note, search, and automation apps for a solo operator.

Anthropic has introduced repeatable routines in Claude Code that run on its web infrastructure, so tasks execute even if your Mac is offline. The feature, now in research preview, lets Pro, Max, Team, and Enterprise users schedule automations with repo and connector access, subject to daily run limits. The update also includes a redesigned Mac app with parallel sessions, an integrated terminal, file editing, and preview tools.

• Claude Code now runs scheduled "routines" on Anthropic's servers, so automations execute even when your Mac is offline
• Daily routine limits scale by plan: 5 for Pro, 15 for Max, 25 for Team/Enterprise
• Routines come pre-connected to repos and connectors, eliminating manual cron job or server setup
• The redesigned Mac app adds parallel sessions with a sidebar, plus a built-in terminal, file editor, and HTML/PDF preview pane

A recent bug in Claude Code's CLI, caused by a changelog format change, highlights the challenges of rapid AI-assisted development. As release velocities increase, existing systems struggle to keep up, leading to potential drift between components and insufficient oversight on changes. Automation tools are needed to manage this new pace effectively and prevent issues like "changelog drift."

• A changelog format change broke Claude Code's CLI, shipping a bug that basic checks should have caught
• Faster AI-assisted release cycles are outpacing the review/testing systems meant to catch such issues
• This creates "changelog drift," where components fall out of sync because no one's watching closely enough
• The fix isn't slowing down but building automation that matches the new development speed