az9713

Claude Cowork Content Plugin — AI skill for Claude Code

AI community

6 Claude Opus 4.6 AI agents built a complete Claude Cowork plugin in 5 minutes, then 6 more agents wrote 5,298 lines of documentation in 4 minutes.

How to install Claude Cowork Content Plugin

This entry records only its repository, not the path inside it, so there is no exact command to give. Open az9713/claude-cowork-content-plugin and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Claude Cowork Content Plugin does

6 Claude Opus 4.6 AI agents built a complete Claude Cowork plugin in 5 minutes, then 6 more agents wrote 5,298 lines of documentation in 4 minutes. An educational showcase of Agent Team orchestration, task dependency management, and parallel AI coordination.

Alternatives in AI

Invisible Dots — Open-source, self-hosted alternative to OpenAI Dots, Meta Muse, Grok Bot, Manus Cue and Claude Cowork 31.8k ★
Om Humanize — Voice-calibrated editing — makes Claude-drafted text sound like you wrote it, not like AI wrote it 4.6k ★
Firm — Convene your standing AI staff — memos on every beat, a board session without you, minutes with dissent preser 1.3k ★

README

How to Use Claude Opus 4.6 Agent Teams to Build a Claude Cowork Plugin

**6 AI agents. 14 files. ~742 lines of code. ~5 minutes. One complete plugin.**

An educational deep-dive into how a team of specialized AI agents coordinated to build a fully functional Claude Cowork plugin from scratch.

What This Project Is

This project is an educational showcase of Claude's **Agent Teams** feature. It documents how a single team lead (Claude Opus 4.6) designed an architecture, spawned six specialized builder agents, managed task dependencies, and produced a complete content-repurposing plugin in roughly five minutes.

The interesting story here is not the plugin itself -- it is **how six AI agents coordinated to build it**. If you have ever wondered what it looks like when multiple AI agents collaborate on a real software project, this repository walks you through every step: the planning, the parallel execution, the dependency management, and the final output.

This project is designed for two audiences. **Developers** with backgrounds in C, C++, Java, or similar languages who are new to AI tools, LLMs, and agent-based workflows will find step-by-step explanations of every concept. **Content creators and general users** who want to understand what Claude Cowork plugins can do will find practical guides and hands-on use cases.

What You'll Learn

Agent Team Orchestration -- How a team lead agent designs a build plan, assigns tasks, and coordinates multiple agents working simultaneously
Claude Cowork Plugin Architecture -- The structure of a plugin: manifests, commands, skills, and how they fit together
Task Dependency Management -- How agents handle build order (scaffold first, then commands and skills in parallel)
Parallel Agent Coordination -- How independent tasks run concurrently while dependent tasks wait for prerequisites
Prompt Engineering for Skills -- How to write effective system prompts that guide an LLM to produce