The World's First Fully Autonomous Organization - Building 1-Person Unicorns
# 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.
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.
- 🤖 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.
- Quick Start
- Vision
- Core Features
- What are Skills?
- Available Skills
- Using Skills
- 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.
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
Orchestration for AI/ML research — from ideation and literature review to publication-ready papers.
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]
| Skill | Layer | Description |
|---|---|---|
| computer-scientist | Strategic | Survey research domains and formulate high-impact open problems. |
| principal-scientist | Portfolio | Manage parallel research tracks and synthesize multi-track findings. |
| lead-researcher | Project | End-to-end research orchestrator from hypothesis to publication. |
| ai-engineer | Engineering | Transform research papers into production-ready product architectures. |
| auto-benchmark | Continuous | Continuous competitive benchmarking loop to defend #1 rankings. |
| hypothesis-generation | Task | Generate and stress-test novel research hypotheses. |
| literature-synthesis | Task | Synthesize findings across a large body of research papers. |
| ieee-paper-generator | Task | Generate publication-ready IEEE conference and journal papers. |
| ollama-multi-model-writer | Task | Write research papers locally on GPU using Ollama — DeepSeek-R1 for methods/results, Phi-4-reasoning for abstract/intro/conclusions, GLM-4.7-Flash for synthesis. Fully offline. |
| autoresearch | Task | Autonomous ML experiment loop — modify training code, run user-configured timed experiments, keep improvements, discard regressions, repeat indefinitely. Cross-platform: CUDA / Apple Silicon MPS / CPU / Windows. |
Transforming research into products with high-converting web presence.
graph TD
AE[ai-engineer] --> AWB[auto-website-builder]
| Skill | Layer | Description |
|---|---|---|
| ai-engineer | Lead | Owns the full engineering pipeline, PRD, and tech stack design. |
| auto-website-builder | Task | Produces investor-grade websites and complete Next.js codebases. |
Real-time agent construction for enterprise platforms.
| Skill | Description |
|---|---|
| dynamic-enterprise-agent | Build deployable AI agents on-the-fly for ServiceNow, Salesforce, AWS, and more. |
Product intelligence, pre-sales automation, and autonomous prospecting.
graph TD
PAR[pm-ai-research] --> PL[pm-lead]
PL --> SI[stakeholder-intel]
PL --> CR[competitive-research]
PL --> IG[idea-generation]
PL --> PW[prd-writer]
PL --> RP[roadmap-planner]
PL --> PRW[proposal-writer]
| Skill | Category | Description |
|---|---|---|
| pm-ai-research | Product | Portfolio-level PM intelligence and signal aggregation. |
| pm-lead | Product | End-to-end product discovery for specific product areas. |
| proposal-automation | Pre-Sales | Transforms customer briefs into complete commercial packages and POCs. |
| calendar-pipeline | Sales | Autonomous engine for C-suite prospecting and meeting generation. |
| account-intelligence | Sales Intelligence | Produces executive-grade Account Intelligence Reports (.docx) for enterprise pursuit meetings across any industry vertical. |
Automating the full marketing department — from brand and content through demand generation and retention.
graph TD
CMO[cmo-marketing] --> CM[content-marketing]
CMO --> DG[demand-gen]
CMO --> PM[product-marketing]
CMO --> CG[community-growth]
CMO --> EV[events-webinars]
CMO --> RM[retention-marketing]
CM --> SEO[seo-automation]
CM --> WE[whitepaper-engine]
DG --> PAM[paid-ads-manager]
DG --> LR[lead-routing]
PM --> CI[customer-intel]
CI -.-> CP[calendar-pipeline]
CG --> CB[community-builder]
| Skill | Layer | Description |
|---|---|---|
| cmo-marketing | Strategic | CMO orchestrator running strategy, budget, and cross-functional campaigns. |
| content-marketing | Orchestrator | VP Content: plans editorial calendar and multi-platform distribution. |
| demand-gen | Orchestrator | VP Demand Gen: orchestrates pipeline creation, paid ads, and lead routing. |
| product-marketing | Orchestrator | VP Product Marketing: positioning, messaging, and sales enablement. |
| community-growth | Orchestrator | VP Community & Ecosystem: strategy across GitHub, Discord, and Slack. |
| retention-marketing | VP | VP Lifecycle & Retention: maximize LTV through onboarding and NPS. |
Full-stack partnership program — from strategy and Big 4 recruitment through negotiation, enablement, joint GTM, alliance marketing, sales operations, and partner finance.
graph TD
SP[strategic-partnerships] --> PS[partner-strategy]
SP --> PR[partner-recruitment]
SP --> PN[partner-negotiation]
SP --> PE[partner-enablement]
SP --> AG[alliance-gtm]
SP --> AM[alliance-marketing]
SP --> SO[partner-sales-ops]
SP --> PF[partner-finance]
AG --> CP[calendar-pipeline]
AG --> PA[proposal-automation]
AM --> WE[whitepaper-engine]
AM --> EV[events-webinars]
AM --> PM[product-marketing]
SO --> CP2[calendar-pipeline]
SO --> LR[lead-routing]
| Skill | Role | Description |
|---|---|---|
| strategic-partnerships | CPO / VP Strategic Alliances | Top-level orchestrator: partner portfolio, alliances strategy, board reporting, full program governance. |
| partner-strategy | VP Partnership Strategy | Partnership thesis, market mapping, partner tier framework, build-vs-partner decisions, OKRs, multi-year roadmap. |
| partner-recruitment | Director, Partner Development | Identify and pitch Big 4, GSIs, boutique consultancies, and ISVs; executive outreach, business case construction, qualification gate. |
| partner-negotiation | Director, Alliance Negotiations | LOI, MOU, co-sell, reseller, implementation, and JV agreements; commercial term structuring, legal provisions, negotiation playbook. |
| partner-enablement | Director, Partner Enablement | 30/60/90-day onboarding, certification programs (Foundation → Expert), sales kit production, battle cards, QBRs, partner portal. |
| alliance-gtm | VP, Alliance GTM | Joint account planning, co-sell motion, implementation partnership framework, JV GTM, upsell and expansion within partner accounts. |
| alliance-marketing | Director, Alliance Marketing | Co-authored thought leadership, joint events, co-branding, company positioning via ecosystem, press strategy, partner awards. |
| partner-sales-ops | Director, Partner Sales Operations | Deal registration system, AE/SE/AM calendar coordination, partner pipeline tracking, CRM hygiene, attribution, weekly reporting. |
| partner-finance | Director, Partner Finance & Pricing | Referral fees, reseller margins, MDF program, revenue recognition, partner program P&L, pricing alignment, Finance team coordination. |
Fully automated fundraising — from investor discovery and pitch deck production through outreach campaigns, calendar packing, due diligence preparation, and round analytics.
graph TD
CRO[cro-investor-relations] --> IR[investor-research]
CRO --> PD[pitch-deck-builder]
CRO --> IO[investor-outreach]
CRO --> IC[investor-calendar]
CRO --> DD[due-diligence-prep]
CRO --> FA[fundraising-analytics]
| Skill | Layer | Description |
|---|---|---|
| cro-investor-relations | Strategic Orchestrator | Top-level fundraising orchestrator: raise strategy, investor relations, board reporting, sub-skill coordination from research to close. |
| investor-research | Intelligence | Discover, profile, score, and prioritize investors — VCs, angels, HNIs, family offices, CVCs — with intel briefs and warm intro mapping. |
| pitch-deck-builder | Production | Build investor-grade pitch decks: problem, TAM/SAM/SOM, solution, architecture, traction, case studies, IP/patents, competition, team, and ask. |
| investor-outreach | Outreach Engine | Automated personalized multi-channel outreach — cold email, LinkedIn, warm intros — for angels, VCs (Sequoia, a16z, Greylock, Bain Capital), HNIs, and family offices. |
| investor-calendar | Calendar Engine | Pack the founder's calendar with investor meetings — scheduling, pre-meeting briefs, day-of prep, post-meeting follow-up, and round momentum management. |
| due-diligence-prep | DD Engine | Build and organize the investor data room — financials, legal, cap table, technical architecture, customer references, and full DD Q&A preparation. |
| fundraising-analytics | Intelligence | Track conversion funnel, measure outreach effectiveness, forecast round close, analyze investor sentiment, and produce board-ready fundraising reports. |
Fully autonomous finance department — from financial strategy and revenue operations through payroll, AP, tax compliance, and partner program finance.
graph TD
CFO[cfo-finance] --> RO[revenue-operations]
CFO --> AP[accounts-payable]
CFO --> PC[payroll-compensation]
CFO --> TC[tax-compliance]
RO --> IM[invoice-management]
RO --> CT[commission-tracker]
AP --> POM[purchase-order-management]
AP --> EM[expense-management]
PC --> SM[salary-management]
| Skill | Layer | Description |
|---|---|---|
| cfo-finance | Strategic | CFO orchestrator: financial strategy, investor reporting, revenue ops, AP, payroll, and tax compliance. |
| revenue-operations | Orchestrator | VP Revenue Ops: customer invoicing, recurring billing, revenue recognition, and commission payout. |
| invoice-management | Task | AR: invoice generation, tracking, collections, and aging reports. |
| commission-tracker | Task | Sales Comp: calculate, track, and process commission payouts, accelerators, SPIFFs, and clawbacks. |
| accounts-payable | Orchestrator | VP AP: vendor invoice processing, PO management, and employee expense reimbursements. |
| purchase-order-management | Task | PO creation, three-way matching, vendor onboarding, and procurement controls. |
| expense-management | Task | Employee expense reports, policy enforcement, and reimbursement workflows. |
| payroll-compensation | Orchestrator | VP Payroll: payroll processing, benefits administration, and compensation planning. |
| salary-management | Task | Salary bands, compensation changes, equity grants, and total compensation statements. |
| tax-compliance | Task | Corporate tax, sales tax, VAT, transfer pricing, and R&D tax credits. |
Fully autonomous enterprise security organization — from risk governance and compliance through SOC operations, AppSec, infrastructure security, and AI ethics.
graph TD
CISO[ciso] --> CG[compliance-governance]
CISO --> SO[security-operations]
CISO --> AS[application-security]
CISO --> IS[infrastructure-security]
CISO --> AES[ai-ethics-security]
CISO --> ST[security-trainer]
CG --> CA[compliance-auditor]
CG --> IC[industry-compliance]
SO --> TH[threat-hunter]
SO --> IR[incident-responder]
SO --> SRE[sre-operations]
AS --> PT[penetration-tester]
IS --> IAM[iam-specialist]
IS --> NDS[network-data-security]
AES --> ASA[ai-security-analyst]
| Skill | Layer | Description |
|---|---|---|
| ciso | Strategic | CISO orchestrator: enterprise security strategy, risk governance, and board-level reporting. |
| compliance-governance | Orchestrator | VP Compliance: SOC 2, ISO 27001, HIPAA, GDPR, EU AI Act, and industry-specific frameworks. |
| compliance-auditor | Task | Audit evidence collection, control testing, SOC 2 readiness, and GRC platform management. |
| industry-compliance | Task | Vertical-specific compliance: HIPAA, PCI-DSS, SOX, FedRAMP, and financial services. |
| security-operations | Orchestrator | VP SOC: threat monitoring, incident detection, and SRE reliability. |
| threat-hunter | Task | Proactive threat hunting, anomaly detection, and IOC intelligence. |
| incident-responder | Task | Incident containment, eradication, recovery, and post-incident reporting. |
| sre-operations | Task | Platform reliability, SLO compliance, incident runbooks, and operational security controls. |
| application-security | Orchestrator | VP AppSec: secure SDLC, SAST/DAST toolchains, vulnerability management, and bug bounty. |
| penetration-tester | Task | Authorized penetration tests, red team exercises, and vulnerability assessments. |
| infrastructure-security | Orchestrator | VP Infra Security: cloud security posture, network architecture, encryption, and IAM governance. |
| iam-specialist | Task | RBAC, least-privilege, privileged access management, and SSO/MFA architecture. |
| network-data-security | Task | Network segmentation, DLP controls, encryption policies, and data classification. |
| ai-ethics-security | Orchestrator | VP AI Security & Ethics: AI system security, responsible AI governance, and EU AI Act compliance. |
| ai-security-analyst | Task | AI threat modeling, prompt injection testing, LLM security hardening, and adversarial assessments. |
| security-trainer | Task | Security awareness training, phishing simulations, and role-based compliance education. |
This repository is a Claude Code plugin marketplace. Add it once and selectively install only the skills you need — no need to install everything.
Step 1: Add the marketplace
Add a GitHub repository that contains a .claude-plugin/marketplace.json file using the owner/repo format — where owner is the GitHub username or organization and repo is the repository name. For example, aviskaar/open-org refers to the open-org repository owned by aviskaar:
/plugin marketplace add aviskaar/open-orgThis registers the catalog with Claude Code so you can browse what's available. No plugins are installed yet.
Step 2: Browse and install individual skills
Run /plugin to open the plugin manager and go to the Discover tab to browse all available skills. You can install only the ones relevant to your work:
# Install a single skill
/plugin install lead-researcher@open-org
# Or install a few specific skills
/plugin install ciso@open-org
/plugin install cfo-finance@open-org
/plugin install cmo-marketing@open-orgYou don't have to install all skills — the marketplace is just a catalog. Pick only what you need.
Installation scopes
When prompted, choose a scope:
- User scope (default): install for yourself across all projects
- Project scope: install for your whole team (adds to
.claude/settings.json) - Local scope: install for yourself in this repository only
Managing installed skills
# List installed plugins
/plugin
# Disable a skill without uninstalling
/plugin disable lead-researcher@open-org
# Uninstall a skill
/plugin uninstall lead-researcher@open-orgUpload any SKILL.md file into a Claude.ai Project to activate it for your conversation.
Inject skill instructions into the system_prompt or use the dedicated Skills API (where available).
Start from the template. A valid skill requires YAML frontmatter:
---
name: my-skill
description: "Use this skill when..."
metadata:
author: your-name
version: "1.0"
---
# Instructions
Detailed behavioral instructions go here.Best Practices:
- Trigger-focused: Write descriptions as activation conditions.
- Modular: Keep
SKILL.mdunder 500 lines; usereferences/for data. - Tooling: Explicitly define
allowed-toolsif the skill requires environment access.
We welcome contributions from the community! Skills live in the /skills directory — browse existing ones for inspiration.
Steps to contribute:
- Fork the repo and create your branch:
skill/your-skill-name. - Adhere to the Agent Skills Specification.
- Ensure no hardcoded credentials or proprietary data are included.
- Open a Pull Request with a clear description of the use cases and problem being solved.
Adding agent team workflows? See AGENTS.md for how to document multi-agent coordination patterns.
.
├── skills/ # Individual skill packages
│ ├── autoresearch/ # Research — autonomous ML experiment loop
│ ├── hypothesis-generation/ # Research — task
│ ├── lead-researcher/ # Research — project orchestrator
│ ├── ai-engineer/ # Engineering — orchestrator
│ ├── cmo-marketing/ # Marketing — strategic orchestrator
│ └── ...
├── template/ # Starter template for new skills
└── spec/ # Agent Skills Specification reference
| Milestone | Description | Status |
|---|---|---|
| v0.5 — Skill Library | Publish 20+ production-ready skills across all org functions | ✅ In progress |
| v1.0 — Autonomy Benchmarks | Define and publish benchmarks for single-person org automation (research, GTM, engineering) | 🔜 Planned |
| v1.5 — Agent Teams Integration | First-class multi-agent orchestration with the Agent Teams model baked into every skill hierarchy | 🔜 Planned |
| v2.0 — Enterprise Runtime | Hosted skill execution, usage analytics, and SSO/RBAC for enterprise deployments | 🔜 Planned |
| v3.0 — Unicorn Playbook | End-to-end autonomous org template: one founder, full AI team, verified unicorn-track metrics | 🔜 Planned |
Have a feature request? Open an issue or start a discussion.
Unless otherwise specified in a skill's frontmatter, all content is licensed under the Apache 2.0 License.
Aviskaar — Advancing AI through open, composable tooling.