What problem does it solve?
Provides a single, authoritative source of truth for the Personal AI Infrastructure (PAI) so sessions start with consistent identity, operating rules, and a mandatory response format that enables reliable history capture and tool orchestration. It prevents ad-hoc context drift, ensures deterministic CLI-first workflows, and makes skill routing and agent delegation discoverable and repeatable.
Core Features & Use Cases
- Auto-loads essential PAI context at session start including identity, stack preferences, security protocols, and response format.
- Defines mandatory structured output and the COMPLETED line used by hooks to capture sessions into the history system.
- Provides routing triggers and progressive-disclosure guidance so natural language automatically activates the correct skills and workflows.
- Integrates with hooks, agent delegation patterns, semantic memory search, and CLI tools to enable reproducible, testable actions.
- Use cases: onboarding a new session with system context, routing user requests to skills, capturing work summaries to history, and enforcing security/deployment guardrails.
Quick Start
Ask the assistant to load the CORE context and summarize PAI identity, active hooks, and the mandatory response format.