What problem does it solve? Multi-agent campaign systems fail when each agent lacks shared context about the overall workflow, other agents' roles, and common rules. This Skill gives every MAIA agent a single source of truth about the system architecture, work chain, human gates, and transversal conventions so outputs stay consistent across the pipeline. ## Core Features & Use Cases - System Context Loading: Describes the six-agent chain (Strategist, Planner, Copywriter, Art Director, Campaign Manager, Storyteller), their outputs, and the human approval gates between them. - Information Provenance Rules: Enforces the three-level provenance model (Plan área, Insight estrategia, Propuesta) with JSON schema, validation flags, and HTML badge rendering rules. - Cross-Agent Conventions: Defines versioning, skill loading and failure handling, the trust boundary against prompt injection, and the review_log.json schema for gate metrics. - Use Case: When the Maia Planner receives a Golden Briefing, it loads this context to know which skills to load, how to tag inherited data provenance, and how to record gate decisions. ## Quick Start Load this context at the start of any MAIA agent execution to understand the agent chain, provenance rules, and shared conventions before producing campaign outputs.