Open Org
The World's First Fully Autonomous Organization - Building 1-Person Unicorns
🚀 Quick Start
# Step 1 — Add the open-org marketplace to Claude Code
/plugin marketplace add aviskaar/open-org
# Step 2 — Browse available skills in the Discover tab
/plugin
# Step 3 — Install only the skills you need
/plugin install lead-researcher@open-org
/plugin install ciso@open-org
/plugin install cmo-marketing@open-org
Make sure to enable Auto Update to get new skills updated in claude code.
🌐 Vision
OpenOrg generalizes AI skills for enterprise automation, enabling fully autonomous organizations run by one person – scaling to unicorn status while prioritizing human good. By open-sourcing the skill layer, we give every builder the same leverage that once required entire departments.
🛠️ Core Features
- 🤖 Multi-AI model support — Skills work across Claude, GPT, Gemini, and any model that accepts a system prompt.
- 🏢 Org-wide automation — Pre-built hierarchies cover Research, Engineering, GTM, Marketing, and Operations end-to-end.
- 🔗 Composable skill stacks — Orchestrator skills chain specialist skills, mirroring real team structures.
- 📦 Open-source extensibility — Fork any skill, publish your own, and share across the community.
- ⚡ Agentic teams support — Coordinate multi-agent pipelines using the Agent Teams model for parallel, autonomous execution.
📖 Table of Contents
Skills are portable packages of instructions, scripts, and resources that an AI agent loads dynamically to achieve deep, domain-specific expertise. Each skill follows the Agent Skills Specification, making them composable, version-controlled, and shareable.
🛠 What are Skills?
A skill lives in its own directory with a SKILL.md file at the root. This structure allows agents to understand both the high-level intent and the low-level execution details required for specialized tasks.
my-skill/
├── SKILL.md # Required: instructions + metadata frontmatter
├── scripts/ # Optional: executable helpers
├── references/ # Optional: additional docs loaded on-demand
└── assets/ # Optional: static resources, templates, data
🏗 Available Skills
Research Skills
Orchestration for AI/ML research — from ideation and literature review to publication-ready papers.
Orchestration Hierarchy
graph TD
CS[computer-scientist] --> PS[principal-scientist]
PS --> LR[lead-researcher]
PS --> AB[auto-benchmark]
LR --> AE[ai-engineer]
LR --> HG[hypothesis-generation]
LR --> LS[literature-synthesis]
LR --> ED[experiment-design]
LR --> CR[code-replication]
LR --> RW[research-writing]
LR --> IPG[ieee-paper-generator]
LR --> AR[autoresearch]
AE --> AWB[auto-website-builder]