CompoundOS - AI Operating System

Design and run a self-improving AI OS for business with strategic, prioritization, ops, department agents, projects, learning, communication, and metrics lay...

This skill is a coherent design and playbook for building a business AI OS, but it gives agents broad autonomy to act on external systems (ads, payments, CRMs) and to log "everything." Before installing or enabling it: - Confirm where agent execution actually runs (your infrastructure vs vendor cloud) and who controls connectors. - Do not embed secrets or API keys inside permanent agent instructions or prompts; use a secure secrets store and least-privilege credentials. - Require explicit human approval gates for high-impact actions (payments, billing changes, major ad spends, account changes). - Review and limit auto-capture scope: redact PII/sensitive fields and limit retention or store memory encrypted. - Test with sandbox/test accounts for payment/ad/CRM integrations before live operations. - Add audit logging and alerts for any outbound webhook/API calls and a kill switch to stop autonomous actions. If the publisher can clarify expected connectors, where credentials are stored, and how human approvals and data protections are enforced, that would raise confidence. Without those safeguards in place, treat deployments as higher risk.

Type: OpenClaw Skill Name: miknas-compoundos Version: 1.0.0 The skill bundle provides a comprehensive framework and set of templates for a business-oriented AI operating system called CompoundOS. It includes prompt templates for various departments (Attract, Convert, etc.) and documentation for knowledge management and performance monitoring. The logic is entirely contained within Markdown instructions and templates, focusing on organizational structure and agentic workflows without any evidence of malicious code, data exfiltration, or harmful prompt injection.