research-paper-review

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

• Quick Start
• Vision
• Core Features
• What are Skills?
• Available Skills
  • Research Skills
  • Engineering Skills
  • Enterprise / Operations Skills
  • GTM / Sales Skills
  • Marketing Skills
  • Strategic Partnerships & Alliances Skills
  • Investor Relations & Fundraising Skills
  • Finance & Operations Skills
  • Security & Compliance Skills
• Using Skills
  • Claude Code — Plugin Marketplace
• Creating a Skill
• Contributing
• Roadmap
• Repository Structure
• License

---

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]